Reading Between the Guidelines: How Commercial Voice Assistant Guidelines Hinder Accessibility for Blind Users
Open accessAbstract
Voice-Activated Personal Assistants (VAPAs)-like Apple Siri and Amazon Alexa - have rapidly become common features on mobile devices and in homes of millions of people around the world. They have proven to be particularly valuable to people with disabilities, chiefly among people with visual impairments. Yet, we still know relatively little about the fundamental metaphors and guidelines for designing voice assistants, and how they might empower and constrain visually impaired users. To address this need, we conducted a qualitative document review of VAPA design guidelines published by top commercial vendors Amazon, Google, Microsoft, Apple and Alibaba. We found that guidelines have many commonalities that surface an underlying assumption that VAPA interfaces should be modeled after human-human conversation. We draw on prior work about needs of people with visual impairments to critique this taken-for-granted human-human conversation metaphor and offer amendments to prevailing design guidelines that can make this now-pervasive platform more fully achieve its potential to become universally usable.
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Claims the paper makes
3 of 39 cited sources checked · 2 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Many blind people can easily comprehend speech at higher listening rates than sighted people.
“Studies conducted by various researchers have shown that many blind people can easily comprehend speech at higher listening rates than sighted people [6,12].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [6] 6. Danielle Bragg, Cynthia Bennett, Katharina Reinecke, and Richard Ladner. 2018. A Large Inclusive Study of Human Listening Rates. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18), 444:1-444:12. https://doi.org/10.1145/3173574.3174018 source
- cites [12] 12. Susanne Dietrich, Ingo Hertrich, and Hermann Ackermann. 2013. Ultra-fast speech comprehension in blind subjects engages primary visual cortex, fusiform gyrus, and pulvinar -a functional magnetic resonance imaging (fMRI) study. BMC Neuroscience 14: 74. https://doi.org/10.1186/1471-2202-14-74 source
- Premisecitation
Speech recognition often breaks down for children and older adults as well as people who are deaf or hard-of-hearing, because there is wide variation in pitch, pronunciation, patterns of stress, and intersyllabic pauses, leading to higher recognition error rates.
“Prior work finds that speech recognition often breaks down for children and older adults [3,21] as well as people who are deaf or hard-of-hearing [16], because there is wide variation in pitch, pronunciation, patterns of stress, and intersyllabic pauses, leading to higher recognition error rates [16,21,35].”
Quote in the paperNot a substantial claim1 of 4 sources checked- cites [3] 3. Saminda Sundeepa Balasuriya, Laurianne Sitbon, Andrew A. Bayor, Maria Hoogstrate, and Margot Brereton. 2018. Use of Voice Activated Interfaces by People with Intellectual Disability. In Proceedings of the 30th Australian Conference on Computer-Human Paper Session 8: Listen to this! ASSETS '19, October 28-30, 2019, Pittsburgh, PA, USA Interaction (OzCHI '18), 102-112. https://doi.org/10.1145/3292147.3292161 source
- cites [21] 21. Silvia Lovato and Anne Marie Piper. 2015. "Siri, is this you?": Understanding young children's interactions with voice input systems. In Proceedings of the 14th International Conference on Interaction Design and Children (IDC '15). ACM, New York, NY, USA, 335- 338. http://dx.doi.org/10.1145/2771839.2771910 source
- cites [16] 16. Abraham T. Glasser, Kesavan R. Kushalnagar, and Raja S. Kushalnagar. 2017. Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of- Hearing Individuals. In Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '17). ACM, New York, NY, USA, 373-374. https://doi.org/10.1145/3132525.3134819 source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [35] 35. S. Schlögl, G. Chollet, M. Garschall, M. Tscheligi, and G. Legouverneur. 2013. Exploring Voice User Interfaces for Seniors. In Proceedings of the 6th International Conference on Pervasive Technologies Related to Assistive Environments (PETRA '13), 52:1-52:2. https://doi.org/10.1145/2504335.2504391 source
- Findingnone given
Public-facing VAPA design guidelines exist from Amazon, Google, Microsoft, Apple, and Alibaba.
“commercial VAPA vendors--led by Amazon, Google, Apple, Microsoft, and Alibaba--have been publishing their own public guidelines for years.”
Quote in the paperSubstantial claim - Findingcitation
Design guidelines encourage behaviors that are often exhibited in human-human conversations to develop lasting relationships (13 instances).
“Design guidelines encourage behaviors that are often exhibited in human-human conversations to develop lasting relationships (13 instances, Go/Am).”
Quote in the paperSubstantial claim - Findingown data
Of significant concern across all guidelines was that developers strive to make conversations efficient and easy for users to perform (68 instances).
“Of significant concern across all guidelines was that developers strive to make conversations efficient and easy for users to perform (68 instances, Go/Am/Mi/Ap/Al).”
Quote in the paperSubstantial claim
- Findingown data
Design guidelines encouraged designers to create an experience where users feel like they are in control, even if their options are fairly constrained (20 instances).
“Design guidelines encouraged designers to create an experience where the users feel like they are in control, even if their options are fairly constrained (20 instances, Go/Am/Mi/Ap/Al):”
Quote in the paperSubstantial claim - Findingown data
Guidelines emphasize how the conversational medium can prove to be an easier, more efficient alternative to screen-based interaction (8 instances).
“Guidelines emphasize how the conversational medium can prove to be an easier, more efficient alternative to screenbased interaction (8 instances).”
Quote in the paperNot a substantial claim - Findingown data
Guidelines encourage the VAPA to showcase unique personality while interacting with users (13 instances).
“Guidelines also encourage the VAPA to showcase unique personality while interacting with users (13 instances).”
Quote in the paperNot a substantial claim - Findingown data
Guidelines generally advocate for efficient conversations by keeping conversational turns as concise as possible (14 instances).
“Guidelines generally advocate for efficient conversations by keeping conversational turns as concise as possible (14 instances).”
Quote in the paperSubstantial claim - Findingnone given
Google's guidelines are the only ones that addressed the use of earcons (4 instances).
“Google's guidelines are the only that addressed the use of earcons (4 instances).”
Quote in the paperNot a substantial claim - Findingreasoning
Google advises that VAPAs should acknowledge instead of apologize when the user's first request was misunderstood.
“Generally, they advise that VAPAs should”
Quote in the paperSubstantial claim - Findingown data
Guidelines advocate designing VAPA interactions based on human conversation (16 instances).
“Throughout the design guideline documents, there are many instances which advocate for designing VAPA interactions based on human conversation (16 instances).”
Quote in the paperSubstantial claim - Findingown data
Commercial VAPA design guidelines commonly assume human-human conversation as the core interaction model.
“We found that guidelines have many commonalities that surface an underlying assumption that VAPA interfaces should be modeled after human-human conversation.”
- Also stated in: § INTRODUCTION · hedged
“Our analysis indicates that VAPA guidelines assume human-human conversation as the core interaction model.”
- Also stated in: § Make Conversations Human · hedged
“Guidelines tended to advocate for a communication model that closely resembles that of face-to-face, human-human dialogue (39 instances, Go/Am/Mi/Ap/Al).”
Quote in the paperSubstantial claim - Also stated in: § INTRODUCTION · hedged
- Findingown data
All guidelines universally modeled the interaction on human-human dialogue.
“all guidelines universally modeled the interaction on human-human dialogue.”
Quote in the paperSubstantial claim - Findingcitation
Google adopted the linguistics theory known as the Cooperative Principle.
“Perhaps the most explicit demonstration of this top-level theme is Google's adoption of the linguistics theory known as the Cooperative Principle.”
Quote in the paperNot a substantial claim - Findingown data
The human-human conversational metaphor was explicitly enacted by drawing on formal human linguistic models like the Cooperative Principle and promoting design strategies that personify the VAPA, such as roleplay and persona development.
“This metaphor was explicitly enacted by drawing on formal human linguistic models, like the Cooperative Principle, and promoting design strategies that personify the VAPA--like roleplay and persona development.”
Quote in the paperSubstantial claim - Findingcitation
Some VAPAs, like Apple Siri, are beginning to make user-defined commands possible through features like Siri Shortcuts.
“However, some VAPAs, like Apple Siri, are beginning to make this type of user-defined command possible through features like Siri Shortcuts 7 .”
Quote in the paperNot a substantial claim - Findingnone given
Guidelines tended to discourage support for high complexity of commands in favor of more conversational language without need for command memorization.
“Guidelines tended to discourage support for high complexity of commands in favor of more conversational language without need for command memorization.”
Quote in the paperNot a substantial claim - Findingnone given
As of the time of publication, none of the platforms observed in this study support adjusting the brevity of weather reports.
“Note that, as of the time of publication, none of the platforms observed in this study support adjusting the brevity of weather reports.”
Quote in the paperNot a substantial claim - Findingown data
Guidelines encouraged modeling VAPA communications after human-human dialogue, including a naturalistic voice speed.
“We found that guidelines encouraged modeling VAPA communications after human-human dialogue, including a naturalistic voice speed.”
Quote in the paperSubstantial claim - Findingown data
VAPAs are designed to keep conversational turns short in length and low in complexity to make the voice interaction more cooperative from the user's perspective.
“Our findings show that VAPAs are designed to keep the conversational turns short in length and low in complexity to make the voice interaction more”
Quote in the paperSubstantial claim - Findingown data
Guidelines define what it means to be human in conversation in the form of limits placed on length of utterances, avoidance of complexity in speech, and narrow pacing restrictions.
“We articulate several ways in which guidelines define what it means to be human in conversation--in the form of limits placed on length of utterances, avoidance of complexity in speech, and narrow pacing restrictions.”
Quote in the paperSubstantial claim - Findingnone given
None of the guidelines mention the necessity of supporting adjustable speech rates.
“Currently, none of the guidelines mention the necessity of supporting adjustable speech rates.”
Quote in the paperSubstantial claim - Findingown data
Guidelines placed restrictive limits to the length, or number of words, used in VAPA-human conversational turns.
“Our study found that guidelines placed restrictive limits the to the length, or number of words, used in VAPA-human conversational turns.”
Quote in the paperSubstantial claim - Findingown data
The interaction model of VAPAs is rooted in a human-human conversational metaphor.
“Our findings reveal that the interaction model of VAPAs is rooted in a human-human conversational metaphor.”
- Also stated in: § CONCLUSION AND FUTURE WORK · plain
“In a document analysis study of commercial VAPA guidelines from five leading vendors, we discovered that the fundamental metaphor for interaction is human-human conversation.”
- Also stated in: § CONCLUSION AND FUTURE WORK · hedged
“We found that guidelines promote a human-human conversation model, which may lead to accessibility challenges for blind users.”
Quote in the paperSubstantial claim - Also stated in: § CONCLUSION AND FUTURE WORK · plain
- Findingnone given
Notably absent in the guidelines was any specific advice about how to make the product accessible to people with disabilities.
“Notably absent in guidelines was any specific advice about how to make the product accessible to people with disabilities.”
Quote in the paperSubstantial claim - Interpretationreasoning
The human-human conversation model in VAPA guidelines limits usage for a variety of users, including people who are blind.
“We argue this choice limits usage for a variety of users, including people who are blind.”
Quote in the paperNot a substantial claim - Premisecitation
Recent research on VAPAs for older adults and people with disabilities primarily observes product reviews, user testimony, or in situ use of VAPAs.
“These studies primarily observe product reviews, user testimony, or in situ use of VAPAs.”
Quote in the paperSubstantial claim0 of 8 sources checked- cites [28] 28. François Portet, Michel Vacher, Caroline Golanski, Camille Roux, and Brigitte Meillon. 2013. Design and Evaluation of a Smart Home Voice Interface for the Elderly: Acceptability and Objection Aspects. Personal and Ubiquitous Computing. 17, 1: 127-144. https://doi.org/10.1007/s00779-011-0470-5 source
- cites [38] 38. Linda Wulf, Markus Garschall, Julia Himmelsbach, and Manfred Tscheligi. 2014. Hands Free -Care Free: Elderly People Taking Advantage of Speech-only Interaction. In Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational (NordiCHI '14), 203-206. https://doi.org/10.1145/2639189.2639251 source
- cites [40] 40. Randall Ziman and Greg Walsh. 2018. Factors Affecting Seniors' Perceptions of Voice-enabled User Interfaces. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (CHI EA '18), LBW591:1-LBW591:6. https://doi.org/10.1145/3170427.3188575 Paper Session 8: Listen to this! ASSETS '19, October 28-30, 2019, Pittsburgh, PA, USA source
- cites [1] 1. Ali Abdolrahmani, Ravi Kuber, and Stacy M. Branham. 2018. "Siri Talks at You": An Empirical Investigation of Voice-Activated Personal Assistant (VAPA) Usage by Individuals Who Are Blind. In Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18), 249-258. https://doi.org/10.1145/3234695.3236344 source
- cites [3] 3. Saminda Sundeepa Balasuriya, Laurianne Sitbon, Andrew A. Bayor, Maria Hoogstrate, and Margot Brereton. 2018. Use of Voice Activated Interfaces by People with Intellectual Disability. In Proceedings of the 30th Australian Conference on Computer-Human Paper Session 8: Listen to this! ASSETS '19, October 28-30, 2019, Pittsburgh, PA, USA Interaction (OzCHI '18), 102-112. https://doi.org/10.1145/3292147.3292161 source
- cites [7] 7. Robin N. Brewer, Leah Findlater, Joseph "Jofish" Kaye, Walter Lasecki, Cosmin Munteanu, and Astrid Weber. 2018. Accessible Voice Interfaces. In Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW '18), 441-446. https://doi.org/10.1145/3272973.3273006 source
- cites [29] 29. Alisha Pradhan, Kanika Mehta, and Leah Findlater. 2018. "Accessibility Came by Accident": Use of Voice- Controlled Intelligent Personal Assistants by People with Disabilities. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18), 459:1-459:13. https://doi.org/10.1145/3173574.3174033 source
- cites [37] 37. Alexandra Vtyurina, Adam Fourney, Meredith Ringel Morris, Leah Findlater, and Ryen W. White. 2019. Bridging Screen Readers and Voice Assistants for Enhanced Eyes-Free Web Search. In Companion Proceedings of the The Web Conference 2019 (WWW '19). https://doi.org/10.1145/3308558.3314136 Paper Session 8: Listen to this! ASSETS '19, October 28-30, 2019, Pittsburgh, PA, USA source
- Premisecitation
Blind users prefer to customize speech, rate, clarity, and intensity of the voice output according to the task at hand.
“They prefer to customize speech, rate, clarity, and intensity of the voice output according to the task at hand [1].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [1] 1. Ali Abdolrahmani, Ravi Kuber, and Stacy M. Branham. 2018. "Siri Talks at You": An Empirical Investigation of Voice-Activated Personal Assistant (VAPA) Usage by Individuals Who Are Blind. In Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18), 249-258. https://doi.org/10.1145/3234695.3236344 source
- Premisecitation
Blind users particularly desire the ability to perform complex tasks with finer control than is currently possible through commercial voice interfaces.
“Blind users particularly desire the ability to perform complex tasks with finer control than is currently possible through commercial voice interfaces [1,37].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [1] 1. Ali Abdolrahmani, Ravi Kuber, and Stacy M. Branham. 2018. "Siri Talks at You": An Empirical Investigation of Voice-Activated Personal Assistant (VAPA) Usage by Individuals Who Are Blind. In Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18), 249-258. https://doi.org/10.1145/3234695.3236344 source
- cites [37] 37. Alexandra Vtyurina, Adam Fourney, Meredith Ringel Morris, Leah Findlater, and Ryen W. White. 2019. Bridging Screen Readers and Voice Assistants for Enhanced Eyes-Free Web Search. In Companion Proceedings of the The Web Conference 2019 (WWW '19). https://doi.org/10.1145/3308558.3314136 Paper Session 8: Listen to this! ASSETS '19, October 28-30, 2019, Pittsburgh, PA, USA source
- Premisenone given
There has yet to be a systematic analysis of how VAPA designers conceptualize the ideal system-its goals, user needs, and interaction metaphors.
“There has yet to be a systematic analysis of how VAPA designers conceptualize the ideal system--its goals, user needs, and interaction metaphors.”
Quote in the paperNot a substantial claim - Premisecitation
Long messages and complex commands are often used by blind users.
“For example, studies report that, unlike other groups, long messages and complex commands are often used by blind users [1,2].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [1] 1. Ali Abdolrahmani, Ravi Kuber, and Stacy M. Branham. 2018. "Siri Talks at You": An Empirical Investigation of Voice-Activated Personal Assistant (VAPA) Usage by Individuals Who Are Blind. In Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18), 249-258. https://doi.org/10.1145/3234695.3236344 source
- cites [2] 2. Shiri Azenkot and Nicole B. Lee. 2013. Exploring the use of speech input by blind people on mobile devices. In Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '13). ACM, New York, NY, USA, Article 11, 8 pages. http://dx.doi.org/10.1145/2513383.2513440 source
- Premisecitation
It can be challenging for blind users to recover from dictation errors made in long messages, as fixing an error requires dictating the entire message again.
“It can be challenging for blind users to recover from dictation errors made in such long messages, as fixing an error requires dictating the entire message again [1].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [1] 1. Ali Abdolrahmani, Ravi Kuber, and Stacy M. Branham. 2018. "Siri Talks at You": An Empirical Investigation of Voice-Activated Personal Assistant (VAPA) Usage by Individuals Who Are Blind. In Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18), 249-258. https://doi.org/10.1145/3234695.3236344 source
- Interpretationcitation
It is reasonable to infer that blind users of VAPAs may be able to interpret and recall prolonged voice responses with more keywords and list items, while using minimal turns.
“It is reasonable to infer that blind users of VAPAs may be able to interpret and recall prolonged voice responses with more keywords and list items, while using minimal turns.”
Quote in the paperSubstantial claim - Interpretationcitation
The fact that VAPAs may be the most or even the only accessible way to use some services may be sufficient motivation for blind users to memorize or define more complex commands.
“The fact that VAPAs may be the most or even the only accessible way to use some services [1] may be sufficient motivation for blind users to memorize or define more complex commands.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] 1. Ali Abdolrahmani, Ravi Kuber, and Stacy M. Branham. 2018. "Siri Talks at You": An Empirical Investigation of Voice-Activated Personal Assistant (VAPA) Usage by Individuals Who Are Blind. In Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18), 249-258. https://doi.org/10.1145/3234695.3236344 source
- Premisecitation
VAPA users who are blind or who have intellectual disabilities often run out of time to articulate complex instructions within the limited session period.
“Yet, studies have shown that VAPA users who are blind or who have intellectual disabilities often run out of time to articulate such complex instructions within the limited session period [1,3].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [1] 1. Ali Abdolrahmani, Ravi Kuber, and Stacy M. Branham. 2018. "Siri Talks at You": An Empirical Investigation of Voice-Activated Personal Assistant (VAPA) Usage by Individuals Who Are Blind. In Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18), 249-258. https://doi.org/10.1145/3234695.3236344 source
- cites [3] 3. Saminda Sundeepa Balasuriya, Laurianne Sitbon, Andrew A. Bayor, Maria Hoogstrate, and Margot Brereton. 2018. Use of Voice Activated Interfaces by People with Intellectual Disability. In Proceedings of the 30th Australian Conference on Computer-Human Paper Session 8: Listen to this! ASSETS '19, October 28-30, 2019, Pittsburgh, PA, USA Interaction (OzCHI '18), 102-112. https://doi.org/10.1145/3292147.3292161 source
- Interpretationreasoning
The idealized human behind the recommended human-human conversation model is overly constrained in ways that do not include capabilities and needs of many members of the blind population.
“When we read between the lines of commercial VAPA design guidelines, we see that the idealized”
Quote in the paperSubstantial claim - Interpretationnone given
This study and the report of early findings are the first to explore voice design guidelines published by industry leaders in the VAPA domain.
“To our knowledge, this study and our report of early findings [6] are the first to explore voice design guidelines that are published by industry leaders in the VAPA domain.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [6] 6. Danielle Bragg, Cynthia Bennett, Katharina Reinecke, and Richard Ladner. 2018. A Large Inclusive Study of Human Listening Rates. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18), 444:1-444:12. https://doi.org/10.1145/3173574.3174018 source
- Interpretationreasoning
For blind users, VAPA interactions do not live up to the goal shared across design guidelines: Make Conversations Efficient.
“We add that, for this user group, VAPA interactions do not live up to the goal shared across design guidelines:”
Quote in the paperSubstantial claim - Premisecitation
Blind users prefer to interact with VAPAs using full-intent utterances (high complexity).
“Blind users, indeed, prefer to interact with VAPAs using such full-intent utterances (i.e., high complexity) [1].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] 1. Ali Abdolrahmani, Ravi Kuber, and Stacy M. Branham. 2018. "Siri Talks at You": An Empirical Investigation of Voice-Activated Personal Assistant (VAPA) Usage by Individuals Who Are Blind. In Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18), 249-258. https://doi.org/10.1145/3234695.3236344 source
- Premisecitation
Many blind people stand to benefit significantly from mainstream voice platforms that prove accessible and usable.
“This shortcoming is particularly acute, as prior research has found that many blind people stand to benefit significantly from mainstream voice platforms that prove accessible and usable [1].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] 1. Ali Abdolrahmani, Ravi Kuber, and Stacy M. Branham. 2018. "Siri Talks at You": An Empirical Investigation of Voice-Activated Personal Assistant (VAPA) Usage by Individuals Who Are Blind. In Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18), 249-258. https://doi.org/10.1145/3234695.3236344 source
- Premisecitation
The timeout period for speech input is often inadequate for people with Alzheimer's and intellectual disabilities.
“Prior work also finds that the timeout period for speech input is often inadequate for people with Alzheimer's [34] and intellectual disabilities [3].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [34] 34. Frank Rudzicz, Rosalie Wang, Momotaz Begum, and Alex Mihailidis. 2015. Speech Interaction with Personal Assistive Robots Supporting Aging at Home for Individuals with Alzheimer's Disease. ACM Transactions on Accessible Computing (TACCESS), 7, 2: 6:1-6:22. https://doi.org/10.1145/2744206 source
- cites [3] 3. Saminda Sundeepa Balasuriya, Laurianne Sitbon, Andrew A. Bayor, Maria Hoogstrate, and Margot Brereton. 2018. Use of Voice Activated Interfaces by People with Intellectual Disability. In Proceedings of the 30th Australian Conference on Computer-Human Paper Session 8: Listen to this! ASSETS '19, October 28-30, 2019, Pittsburgh, PA, USA Interaction (OzCHI '18), 102-112. https://doi.org/10.1145/3292147.3292161 source
- Interpretationreasoning
These constraints exclude people with disabilities, with a focus on people who are blind.
“Further we explore how these constraints exclude people with disabilities, with a focus on people who are blind.”
Quote in the paperSubstantial claim - Interpretationreasoning
The roots of usability and accessibility challenges for other populations, like older adults, children, people with Alzheimer's, and people with intellectual disabilities, may be traced back to VAPA design guidelines.
“In addition, our study suggests that the roots of usability and accessibility challenges for other populations--like older adults, children, people with Alzheimer's, and people with intellectual disabilities--may be traced back to VAPA design guidelines.”
Quote in the paperSubstantial claim - Interpretationreasoning
Commercial, technical notions of what constitutes conversation that is too long, too complex, or too fast do not conform to scientists' or blind people's own understandings of blind peoples' capabilities.
“Commercial, technical notions of what constitutes conversation that is too long, too complex, or too fast do not conform to scientists' or blind people's own understandings of blind peoples' capabilities--a fact that effectively displaces people who are blind from the definition of humanhuman conversation being invoked.”
Quote in the paperSubstantial claim - Premisecitation
Blind users may prefer to accomplish more complex tasks with their VAPAs, like setting recurring calendar invites or authoring long text messages.
“However, prior work suggests that blind users may prefer to accomplish more complex tasks with their VAPAs, like setting recurring calendar invites or authoring long text messages [1].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] 1. Ali Abdolrahmani, Ravi Kuber, and Stacy M. Branham. 2018. "Siri Talks at You": An Empirical Investigation of Voice-Activated Personal Assistant (VAPA) Usage by Individuals Who Are Blind. In Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18), 249-258. https://doi.org/10.1145/3234695.3236344 source
- Premisecitation
Many blind people already use VAPAs as a primary platform to perform daily tasks.
“In addition, because many blind people already use VAPAs as a primary platform to perform daily tasks [1]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] 1. Ali Abdolrahmani, Ravi Kuber, and Stacy M. Branham. 2018. "Siri Talks at You": An Empirical Investigation of Voice-Activated Personal Assistant (VAPA) Usage by Individuals Who Are Blind. In Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18), 249-258. https://doi.org/10.1145/3234695.3236344 source
- Premisecitation
Experienced screen reader users find the existing speech rates of VAPAs to be frustratingly slow.
“Not surprisingly, experienced screen reader users find the existing speech rates of VAPAs to be frustratingly slow [1].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] 1. Ali Abdolrahmani, Ravi Kuber, and Stacy M. Branham. 2018. "Siri Talks at You": An Empirical Investigation of Voice-Activated Personal Assistant (VAPA) Usage by Individuals Who Are Blind. In Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18), 249-258. https://doi.org/10.1145/3234695.3236344 source
- Interpretationreasoning
The inflexible timeout feature conflicts with the guidelines' statement that full-intent utterances should be handled when users have certain disabilities.
“Even though guidelines clearly state that full-intent utterances should be handled, the inflexible timeout feature conflicts with this when users have certain disabilities.”
Quote in the paperSubstantial claim
- May combine two claims. 24
- Classified as probably not a substantial claim. 66
- The quote only partly states this claim. 3
May combine two claims.
PremisecitationBlind people can comprehend speech at higher listening rates, and blind VAPA users find speech rates frustratingly slow.
“However, prior work shows that blind people can comprehend speech at higher listening rates [6,12], and that blind VAPA users find speech rates frustratingly slow [1].”
Quote in the paperSubstantial claim1 of 3 sources checked- cites [6] 6. Danielle Bragg, Cynthia Bennett, Katharina Reinecke, and Richard Ladner. 2018. A Large Inclusive Study of Human Listening Rates. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18), 444:1-444:12. https://doi.org/10.1145/3173574.3174018 source
- cites [12] 12. Susanne Dietrich, Ingo Hertrich, and Hermann Ackermann. 2013. Ultra-fast speech comprehension in blind subjects engages primary visual cortex, fusiform gyrus, and pulvinar -a functional magnetic resonance imaging (fMRI) study. BMC Neuroscience 14: 74. https://doi.org/10.1186/1471-2202-14-74 source
- cites [1] 1. Ali Abdolrahmani, Ravi Kuber, and Stacy M. Branham. 2018. "Siri Talks at You": An Empirical Investigation of Voice-Activated Personal Assistant (VAPA) Usage by Individuals Who Are Blind. In Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18), 249-258. https://doi.org/10.1145/3234695.3236344 source
Classified as probably not a substantial claim.
FindingcitationGuidelines advise that the VAPA should never blame the user or a third party.
“Perhaps the clearest guidance, reiterated in multiple instances, is that the VAPA should never blame the user or a third party:”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationLists are often used to constrain and therefore expedite the user's selection of a response.
“In combination with questions, lists are often used to constrain and therefore expedite the user's selection of a response:”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataGuidelines encourage colloquial language and favor natural-sounding conversation over grammatical accuracy.
“Use of colloquial language is encouraged, and natural-sounding conversation is favored over grammatical accuracy.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenDevelopers should create a description of the character, including a list of adjectives and personal traits, to help the persona mirror real human agents.
“As part of this process, developers should create a description of the character, including a list of adjectives and personal traits, to help the persona mirror real human agents.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Findingnone givenGoogle and Microsoft guidelines suggest that a good voice interaction should use a variety of confirmation techniques (10 instances).
“Both Google and Microsoft suggest that a good voice interaction should use a variety of techniques for confirmation (10 instances).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenGoogle's guidelines note that too much content is as concerning as too little.
“Google's guidelines note that too much content is as concerning as too little.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
FindingreasoningGuidelines advocate against deceiving users through misrepresenting or hiding information using defaults.
“they advocate against deceiving users through misrepresenting or hiding information using defaults.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
FindingreasoningIn a partial intent case, the VAPA should be able to detect the missing element and provide an immediate follow-up prompt towards fulfilling the service request.
“In this case, the VAPA should be able to detect the missing element and provide an immediate follow-up prompt towards fulfilling the service request.”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Findingown dataThe authors identified design guideline documents for 5 of 7 vendors: Google, Amazon, Microsoft, Apple, and Alibaba.
“Using this method, we were able to successfully identify design guideline documents for 5 of the 7 vendors: Google 2 (Go), Amazon 3 (Am), Microsoft (Mi) 4”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataMaking conversation personal is about designing VAPAs so that they exercise agency and tailor interactions to the user (50 instances).
“Making conversation personal is about designing VAPAs so that they exercise agency and tailor interactions to the user (50 instances, Go/Am/Mi/Ap/Al).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataGuidelines recommend maintaining variation in the VAPA's responses (7 instances).
“In addition to supporting varied request phrasing, guidelines recommend maintaining variation in the VAPA's responses (7 instances).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataOne guideline recommended creating a human-human dialog script and testing it by conducting roleplay with real humans.
“For example, one guideline recommended creating a human-human dialog script and testing it by conducting roleplay with real humans.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenGuidelines advise that the system should request confirmation if exiting would result in significant loss of progress.
“One caveat to this advice is that the system should request confirmation if exiting would result in significant loss of progress.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationGuidelines rationalize list length by claiming the limited capacity of the human brain to remember instructional information.
“The guidelines further rationalize this choice by claiming the limited capacity of the human brain to remember instructional information:”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
FindingreasoningContext can extend beyond the bounds of the current invocation.
“Context can extend beyond the bounds of the current invocation.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenGuidelines offer various techniques to improve efficiency while reading lists (13 instances).
“Guidelines offer various techniques to improve efficiency while reading lists (13 instances).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Findingnone givenGuidelines state that the system should be able to identify when a user's tone of voice reveals frustration or impatience, and then change to a more concise interaction mode.
“These guidelines also state that the system should be able to identify when a user's tone of voice reveals frustration or impatience, and then change to a more concise interaction mode.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
FindingcitationA question placed at the end of the utterance prompts the user to begin their turn while also discouraging interruption.
“In the guideline above, we see that a question placed at the end of the utterance both prompts the user to begin their turn, while also discouraging interruption.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe guidelines articulate two types of confirmation: implicit and explicit.
“They articulate two types of confirmation--implicit and explicit.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenMaintaining efficient conversation entails clean information hand-offs between the VAPA and user, in which each takes a turn without either interrupting or pausing between utterances (12 instances).
“Maintaining efficient conversation entails clean information hand-offs between the VAPA and user, in which each takes a turn without either interrupting or pausing between utterances (12 instances).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenMost platforms provide a variety of synthesized text-to-speech voice libraries to choose from.
“To achieve this, most of the platforms provide a variety of synthesized text to speech (TTS) voice libraries to choose from.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenMicrosoft and Amazon guidelines both encourage keeping conversations friendly (3 instances).
“Microsoft and Amazon guidelines both encourage keeping conversations friendly (3 instances).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
FindingcitationGuidelines state that VAPAs should be able to handle even subtle variations and mispronunciations in the user's response.
“The guidelines also state that VAPAs should be able to handle even subtle variations and mispronunciations in the user's response.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Findingnone givenVAPAs often format responses as lists.
“VAPAs often format responses as lists--lists of top items for purchase, lists of nearby businesses, lists of search results, lists of music stations, and more.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingnone givenMicrosoft, Amazon, and Alibaba all remark on the number of list items to present, generally around three items, although Amazon suggests a range of 2-5.
“Microsoft, Amazon, and Alibaba all remark on the number of list items to present, generally around three items, although Amazon suggests a range of 2-5.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
FindingcitationGuidelines caution against overusing earcons because they can impose cognitive load and become overwhelming, limiting use to a few easily distinguishable sounds.
“They therefore caution against overusing earcons because they can”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingnone givenThe duration of pauses between lists of items should be based on item length and complexity; there should be a 350ms pause for a normal scenario and a 400ms pause for a complex scenario.
“Furthermore, the duration of pauses between lists of items should be based on item length and complexity.For example, there should be a 350ms pause for a normal scenario and a 400ms pause for a complex scenario.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenThere is an option to record and use a real professional human voice.
“There is also an option to record and use a real professional human voice.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingreasoningGuidelines suggest third-party app developers should create their own personas rather than impersonating or mimicking the system persona.
“third-party app developers should create their own personas rather than impersonating or mimicking the system persona.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationGuidelines suggest prompts given to users should be carefully constructed so that possible answers are predictable and unambiguous.
“Another is to carefully construct the prompts given to users, so that possible answers are predictable and unambiguous:”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
FindingcitationGuidelines suggest the illusion of user control can be achieved by avoiding teaching commands or giving a tutorial-like introduction to a VAPA's capabilities.
“One is to avoid teaching commands or giving a tutorial-like introduction to a VAPA's capabilities:”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Findingnone givenThe VAPA should be able to identify all the key attributes from the utterance and respond meaningfully to the user request.
“The VAPA should be able to identify all the key attributes from the utterance and respond meaningfully to the user request.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenDevelopers are cautioned by one guideline to refrain from asking users a question the system is not prepared to handle the answer to.
“Developers are cautioned by one guideline to refrain from asking users a question the system is not prepared to handle the answer to.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingreasoningConversational interfaces are ideal for enabling users to multitask, as they support hands-free, eyes-free interaction with low cognitive load (7 instances).
“Conversational interfaces are ideal for enabling users to multitask, as they support hand-free, eyes-free interaction with low cognitive load (7 instances).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenGuidelines identify voice as a safe and efficient modality for navigating--walking or driving--without distraction.
“Similarly, guidelines identify voice as a safe and efficient modality for navigating--walking or driving--without distraction.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims. The quote only partly states this claim.
FindingcitationGuidelines suggest defining a range of utterances people may say to the VAPA, with a standard benchmark around 30 alternate utterances per intent.
“They suggest a standard benchmark to be around 30 alternate utterances per intent.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims. The quote only partly states this claim.
Findingown dataThe axial codes and instance counts were: Make conversations human 39; Make conversations personal 50; Make conversations efficient 68; Make conversations relational 13; Give user a sense of control 20.
“Make conversations human 39”
- Also stated in: § Make conversations human 39 · plain
“Make conversations personal 50 Make conversations efficient 68”
- Also stated in: § Make conversations relational 13 · plain
“Make conversations relational 13”
Quote in the paperSubstantial claim- Also stated in: § Make conversations human 39 · plain
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationGuidelines identify strategies for personas, such as developing personas based on familiar roles enacted by real-life service providers.
“To achieve this, guidelines identify various strategies.For example, personas can be developed based on familiar roles enacted by real-life service providers:”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Findingnone givenMicrosoft recommends that the VAPA should not take more than 20 seconds to read the first few items in the list.
“The VAPA should not take more than 20 seconds to read the first few items in the list.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenGuidelines advocate these personalization qualities as beneficial traits of human conversational partners.
“Guidelines advocate for these qualities as beneficial traits of human conversational partners.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe thematic analysis resulted in 190 instances, 18 open codes, and five axial codes.
“This process resulted in 190 instances, 18 open codes, and five axial codes.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Findingnone givenGuidelines advise always allowing the user to make course corrections or discontinue a task immediately when the user gives commands like exit, cancel, stop, nevermind, and goodbye.
“Finally, always allow the user to make course corrections (”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenGuidelines state that VAPAs should be able to handle requests not only of various phrasing, but also of various completeness (12 instances).
“Guidelines state that VAPAs should be able to handle requests not only of various phrasing, but also of various completeness.Completeness can range from no intent to multiple intents at once (12 instances).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingreasoningWhat constitutes a relevant default value varies according to the context of use.
“What constitutes a relevant default value varies according to the context of use.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingreasoningGuidelines recommend using explicit confirmation when the cost of misunderstanding is high, as when booking a flight or making a financial transaction.
“They also recommend using explicit confirmation when the cost of misunderstanding is high, as when booking a flight or making a financial transaction.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataGuidelines from Amazon and Google suggest that VAPAs should maintain transparency in conversation with users when handling errors and take responsibility when necessary (10 instances).
“Guidelines from Amazon and Google suggest that VAPAs should maintain transparency in conversation with users when handling errors, and take responsibility when necessary (10 instances).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
FindingcitationGuidelines warn that context changes even when it appears otherwise, and it is particularly important to recognize this in error scenarios to reduce frustration.
“Guidelines warn that context changes even when it appears otherwise; it is particularly important to recognize this in error scenarios to reduce frustration:”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationA smart default may be derived from previous interactions.
“A smart default may also be derived from previous interactions”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe most common recommendation among guidelines to achieve variety is by adding variety in prompts that repeatedly occur during the conversation.
“The most common recommendation among guidelines to achieve variety is by adding variety in prompts that repeatedly occur during the conversation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenAmazon introduces the concept of a one-breath test to evaluate the length of conversation.
“Amazon introduces the concept of a 'one-breath test' (can the utterance be stated in one breath?) to evaluate the length of conversation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationGuidelines commonly recommend strategic placement of questions in the VAPA's script.
“To scaffold efficient turn-taking, guidelines commonly recommend strategic placement of questions in the VAPA's script:”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Findingnone givenThere are multiple segments of the guidelines regarding the importance of leveraging context to communicate in a more cooperative manner with individuals (12 instances).
“There are multiple segments of the guidelines regarding the importance of leveraging context to communicate in a more cooperative manner with individuals (12 instances).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenVoice can be further customized with Speech Synthesis Markup Language (SSML) to achieve more personalization.
“This voice can be further customized with Speech Synthesis Markup Language (SSML) to achieve more personalization.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingreasoningAmazon suggests that items be clustered into groups of two or three.
“Amazon suggests that items be clustered into groups of two or three”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Findingnone givenWhen the VAPA asks for more information to complete a no intent or partial intent request, if the user does not provide any response, the VAPA should re-prompt with a slight rewording.
“The VAPA should handle such situations by re-prompting with a slight rewording.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Findingnone givenAs the user engages a specific app or skill over time, a greeting should become less verbose and more familiar.
“Additionally, as the user engages a specific app or skill over time, a greeting should become less verbose and more familiar.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Findingnone givenIn a no intent case, VAPAs should not simply dismiss the user's request or ask them to restate the request correctly; they should walk users through the interaction by providing a list of three options from which to choose.
“In this case, VAPAs should not simply dismiss the user's request or ask them to restate the request correctly; they should walk users through the interaction by providing a list of three options from which to choose.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
FindingreasoningThe guidelines suggest that earcons are a mismatch for conversational interfaces because they are not intuitive.
“The guidelines suggest that earcons are a mismatch for conversational interfaces, because they are not intuitive.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenGuidelines suggest that personality traits should be kept consistent within each persona.
“Guidelines suggest that personality traits should be kept consistent within each persona;”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenGuidelines state that it is the developer's responsibility to build the right balance between implicit and explicit confirmation.
“Guidelines state that it is the responsibility of the developer to build in the right balance between both implicit and explicit confirmation.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Findingnone givenGuidelines recommend that VAPAs be made to speak using everyday language, complete with slang, contractions, naturalistic pauses, and turn-by-turn cooperative dialogue.
“Guidelines recommend that VAPAs be made to speak using everyday language, complete with slang, contractions, naturalistic pauses, and turn-by-turn cooperative dialogue.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Findingnone givenVAPA guidelines recommend being able to handle complex commands from the user, which include all necessary information for a service request in a single utterance.
“Second, regarding complexity, VAPA guidelines recommend being able to handle complex commands from the user, which include all necessary information for a service request in a single utterance.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
FindingreasoningGuidelines justify their length limits by arguing that longer responses will be difficult to follow, overwhelm the human brain, and result in frustration and impatience for users.
“Guidelines justify these limits by arguing that longer responses will be difficult to follow, as this will overwhelm the human brain, and it may result in”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Findingnone givenThe first few list items should be spoken for a maximum of 20 seconds, with pause durations ranging from 350ms to 400ms.
“Our findings revealed that the first few list items should be spoken for a maximum of 20 seconds, with pause durations ranging from 350ms to 400ms.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
FindingreasoningGuidelines emphasize using natural and intuitive speech, avoiding robotic structures, and minimizing earcons, because these may lead to cognitive overload.
“Guidelines additionally emphasize using”
Quote in the paperSubstantial claimMay combine two claims.
Findingnone givenGuidelines recommend concrete limits to VAPA responses, including a maximum of two keywords per turn, three items per list, and the one-breath test.
“For example, various guidelines recommend a maximum of two keywords per turn, three items per list, and the”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationThe voice-only nature of VAPAs is crucial for blind users; while sighted users may switch to a visual interface for in-depth tasks or error correction, blind users do not always have accessible alternatives.
“The voice-only nature of VAPAs is crucial for blind users; while sighted users may switch to a visual interface for in-depth tasks or error correction, blind users do not always have accessible alternatives [29].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [29] 29. Alisha Pradhan, Kanika Mehta, and Leah Findlater. 2018. "Accessibility Came by Accident": Use of Voice- Controlled Intelligent Personal Assistants by People with Disabilities. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18), 459:1-459:13. https://doi.org/10.1145/3173574.3174033 source
Classified as probably not a substantial claim.
InterpretationreasoningThe ability to define voice macros will be particularly useful to blind users with regards to increasing complexity or reducing length.
“We believe the ability to define these”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationWhile sighted people can comprehend speech at a maximum of 10 syllables per second, some blind people can comprehend up to 25 syllables per second.
“While sighted people can comprehend speech at a maximum of 10 syllables per second, some blind people can comprehend up to 25 syllables per second [14].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [14] 14. R. Douglas Fields. Why Can Some Blind People Process Speech Far Faster Than Sighted Persons? Scientific American. Retrieved April 30, 2019 from https://www.scientificamerican.com/article/why-can- some-blind-people-process/
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationreasoningThese guidelines conflict significantly with the voice output design of screen readers for people who are blind, which require expert interaction techniques, use robotic-sounding synthesized voice, and speak output at a rate far faster than a human could.
“Interestingly, these guidelines conflict significantly with the voice output design of screen readers for people who are blind, which require expert interaction techniques, use robotic-sounding synthesized voice, and speak output at a rate far faster than a human could.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningLike people who are blind, other groups such as older adults, children, people with Alzheimer's, and people with intellectual disabilities would benefit from VAPAs that adopt more inclusive models of conversation length, complexity, speed, and other aspects of interaction.
“Like people who are blind, these groups would benefit from VAPAs that adopt more inclusive models of conversation length, complexity, speed, and other aspects of interaction.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningBlind people may have sufficient motivation to learn and leverage longer, more complex commands and to deploy them at top speed.
“it stands to reason that they may have sufficient motivation to learn and leverage longer, more complex commands and to deploy them at top speed.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationMany blind people are remarkably superior to sighted peers in performing serial memory tasks and are better able to recall longer word sequences.
“many blind people are remarkably superior to sighted peers in performing serial memory tasks and are better able to recall”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [33] 33. Noa Raz, Ella Striem, Golan Pundak, Tanya Orlov, and Ehud Zohary. 2007. Superior serial memory in the blind: a case of cognitive compensatory adjustment. Current Biology: CB 17, 13: 1129-1133. https://doi.org/10.1016/j.cub.2007.05.060 source
May combine two claims.
InterpretationcitationLonger turns may be possible for blind users, while previous studies suggest that more succinct turns may be desirable for blind users.
“Above, we draw out the ways in which longer turns may be possible for blind users, while previous studies suggest that more succinct turns may be desirable for blind users [1].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] 1. Ali Abdolrahmani, Ravi Kuber, and Stacy M. Branham. 2018. "Siri Talks at You": An Empirical Investigation of Voice-Activated Personal Assistant (VAPA) Usage by Individuals Who Are Blind. In Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18), 249-258. https://doi.org/10.1145/3234695.3236344 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationMurad et al. published early work identifying design guidelines for hands-free speech interaction, targeting adoption within the HCI research community.
“Murad et al. [25] published early work identifying design guidelines for hands-free speech interaction, targeting adoption within the HCI research community.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [25] 25. Christine Murad, Cosmin Munteanu, Leigh Clark, and Benjamin R. Cowan. 2018. Design Guidelines for Hands-free Speech Interaction. In Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (MobileHCI '18), 269-276. https://doi.org/10.1145/3236112.3236149 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe three proposed recommendations have not been user tested.
“It is important to note that these have not been user tested.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Understanding a user's utterance and making a VAPA's response relevant require context from prior utterances and conversations.
“Due to the ambiguous nature of language, a user's utterance cannot be understood in isolation, i.e. without the context of prior utterances and conversations.Neither can the VAPA's response be made relevant.”
The paper relies on this without support.
Commercial VAPA guidelines are a unique window into how developed systems operate and may allow pinpointing fundamental sources of documented accessibility and usability issues.
“Commercial VAPA guidelines stand to offer a unique window into how the developed systems operate and may allow us to pinpoint fundamental sources of documented accessibility and usability issues [1,29].”
The paper relies on this without support.
The five selected vendors' guidelines are representative of commercial VAPA design guidelines.
“We chose to search for guidelines produced by recognized industry leaders on mobile voice, as well as smart speaker platforms.”
The paper relies on this without support.
The guidelines collected in September 2018 reflect current commercial VAPA design guidelines.
“Given the dynamic nature of online content, we collected static copies of the guidelines for offline viewing.”
The paper relies on this without support.
The number of coding instances reflects the prevalence or importance of a theme in the guidelines.
“When reporting open codes, we will identify the number of instances in parentheses.”
The paper relies on this without support.
Length (the number of words) and complexity (the number of intents) directly impact the efficiency of communication with VAPAs.
“Length--the number of words--and complexity--the number of intents--directly impact the efficiency of communication with VAPAs.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Voice assistants hold the potential to enable individuals with disabilities to govern their houses without constantly depending on caregivers.
“Such systems hold the potential to significantly help users with motor and cognitive disabilities who currently depend on their caregiver even for basic needs (eg, opening a door).”
From Investigating the Accessibility of Voice Assistants With Impaired Users: Mixed Methods Study (2020) · cites this paper as [12]
The Hands-free Interaction and Preference for Voice Input sections describe voice assistants as promising for people with disabilities and report independent mobile-device use by people with limited hand dexterity (page unavailable). They do not address controlling a house, opening doors, or reducing reliance on caregivers for basic needs. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Microsoft is omitted from the relational-theme vendor list
MinorThe relational theme is attributed only to Google and Amazon, but its friendly-conversation subsection says Microsoft also recommends that behavior.
“Design guidelines encourage behaviors that are often exhibited in human-human conversations to develop lasting relationships (13 instances, Go/Am).”
“Microsoft and Amazon guidelines both encourage keeping conversations friendly (3 instances).”
The cited early report is a listening-rates study
MinorThe discussion cites reference [6] as an earlier report on voice-design guidelines. The reference list identifies [6] as a study of human listening rates; the paper elsewhere identifies its earlier guideline review as [24].
“To our knowledge, this study and our report of early findings [6] are the first to explore voice design guidelines that are published by industry leaders in the VAPA domain.”
“6. Danielle Bragg, Cynthia Bennett, Katharina Reinecke, and Richard Ladner. 2018. A Large Inclusive Study of Human Listening Rates.”
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Privacy Concerns for Use of Voice Activated Personal Assistant in the Public Space
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Patterns for How Users Overcome Obstacles in Voice User Interfaces
Myers, C., Furqan, A., Nebolsky, J., Caro, K., & Zhu, J. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173580 · Cited by 213 · cited 1× · see citing works
“While these errors are the most frequent obstacle, prior research shows this can be mitigated by implementing a “read” back feature, which helps users create an accurate mental model of the error and how to address it [26].”
BackgroundAbdolrahmani, A., Kuber, R., & Branham, S. M. (2018) · Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3234695.3236344 · Cited by 172 · cited 10× · see citing works
“may allow us to pinpoint fundamental sources of documented accessibility and usability issues [1,29].”
BackgroundInfluentialSelf-citationPersonification of the Amazon Alexa: BFF or a Mindless Companion
Lopatovska, I., & Williams, H. (2018) · Proceedings of the 2018 Conference on Human Information Interaction&Retrieval - CHIIR '18 · doi:10.1145/3176349.3176868 · Cited by 160 · see citing works
Exploring the use of speech input by blind people on mobile devices
Azenkot, S., & Lee, N. B. (2013) · Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/2513383.2513440 · Cited by 151 · cited 1× · see citing works
“For example, studies report that, unlike other groups, long messages and complex commands are often used by blind users [1,2].”
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Understanding the Role of Privacy and Trust in Intelligent Personal Assistant Adoption
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"Siri, is this you?": Understanding young children's interactions with voice input systems
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Superior Serial Memory in the Blind: A Case of Cognitive Compensatory Adjustment
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“[34] and intellectual disabilities [3].”
Design guidelines for hands-free speech interaction
Murad, C., Munteanu, C., Clark, L., & Cowan, B. R. (2018) · Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct · doi:10.1145/3236112.3236149 · Cited by 79 · see citing works
Hands free - care free: elderly people taking advantage of speech-only interaction
Wulf, L., Garschall, M., Himmelsbach, J., & Tscheligi, M. (2014) · Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational · doi:10.1145/2639189.2639251 · Cited by 64 · see citing works
Use of voice activated interfaces by people with intellectual disability
Balasuriya, S. S., Sitbon, L., Bayor, A. A., Hoogstrate, M., & Brereton, M. (2018) · Proceedings of the 30th Australian Conference on Computer-Human Interaction · doi:10.1145/3292147.3292161 · Cited by 63 · see citing works
Supporting spatial awareness and independent wayfinding for pedestrians with visual impairments
Yang, R., Park, S., Mishra, S. R., Hong, Z., Newsom, C., Joo, H., Hofer, E., & Newman, M. W. (2011) · The proceedings of the 13th international ACM SIGACCESS conference on Computers and accessibility · doi:10.1145/2049536.2049544 · Cited by 60 · see citing works
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Factors Affecting Seniors' Perceptions of Voice-enabled User Interfaces
Ziman, R., & Walsh, G. (2018) · Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3170427.3188575 · Cited by 46 · see citing works
Exploring voice user interfaces for seniors
Schlögl, S., Chollet, G., Garschall, M., Tscheligi, M., & Legouverneur, G. (2013) · Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments · doi:10.1145/2504335.2504391 · Cited by 44 · see citing works
A Large Inclusive Study of Human Listening Rates
Bragg, D., Bennett, C., Reinecke, K., & Ladner, R. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3174018 · Cited by 43 · see citing works
Bridging Screen Readers and Voice Assistants for Enhanced Eyes-Free Web Search
Vtyurina, A., Fourney, A., Morris, M. R., Findlater, L., & White, R. W. (2019) · The World Wide Web Conference · doi:10.1145/3308558.3314136 · Cited by 42 · cited 4× · see citing works
“Numerous recent research efforts have centered on the accessibility constraints and potential of VAPAs to serve older adults [28,38,40] and people with disabilities [1,3,7,29,37].”
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How Personal Experience and Technical Knowledge Affect Using Conversational Agents
Chen, M.-L., & Wang, H.-C. (2018) · Companion Proceedings of the 23rd International Conference on Intelligent User Interfaces · doi:10.1145/3180308.3180362 · Cited by 26 · see citing works
An exploratory study understanding the appropriated use of voice-based Search and Assistants
Bhalla, A. (2018) · Proceedings of the 9th Indian Conference on Human-Computer Interaction · doi:10.1145/3297121.3297136 · Cited by 16 · see citing works
PERCEPTUAL IMPAIRMENTS: NEW ADVANCEMENTS PROMOTING TECHNOLOGICAL ACCESS
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Investigating the Accessibility of Voice Assistants With Impaired Users: Mixed Methods Study
Masina, F., Orso, V., Pluchino, P., Dainese, G., Volpato, S., Nelini, C., Mapelli, D., Spagnolli, A., & Gamberini, L. (2020) · Journal of Medical Internet Research · doi:10.2196/18431 · Cited by 105 · see citing works
Exploring young children's engagement in joint reading with a conversational agent
Xu, Y., & Warschauer, M. (2020) · ACM International Conference on Interaction Design and Children (IDC) · doi:10.1145/3392063.3394417 · Cited by 82 · see citing works
Abdolrahmani, A., Storer, K. M., Roy, A. R. M., Kuber, R., & Branham, S. M. (2019) · ACM Transactions on Accessible Computing · doi:10.1145/3368426 · Cited by 68 · see citing works
Self-citationFesterling, J., & Siraj, I. (2021) · Integrative Psychological and Behavioral Science · doi:10.1007/s12124-021-09668-y · Cited by 74 · see citing works
“…from the functional advantage of DVAs’ hands-free and ‘eye-free’ voice interfaces, but, at the same time, today’s DVAs usually lack the cus-tomizability to address certain special needs, such as longer response times, faster speech rates, or custom voice commands (Branham & Mukkath Roy, 2019).”
BackgroundChoi, D., Kwak, D., Cho, M., & Lee, S. (2020) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376569 · Cited by 57 · see citing works
“To top it off, findings about the importance of the intimate connection adds diversity to the perspectives of prior studies focused on the efficiency of CA use among people with visual impairments [15, 57].”
BackgroundInfluentialMetaphors in Voice User Interfaces: A Slippery Fish
Desai, S., & Twidale, M. (2023) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3609326 · Cited by 42 · see citing works
Firefox Voice: An Open and Extensible Voice Assistant Built Upon the Web
Cambre, J., Williams, A. C., Razi, A., Bicking, I., Wallin, A., Tsai, J., Kulkarni, C., & Kaye, J. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445409 · Cited by 39 · see citing works
“At the same time, the design guidelines and best practices for designing for voice are still in their earliest stages [9, 48], and there are a number of open questions and technical concerns for voice assistants.”
BackgroundLi, F. M., Dorst, J., Cederberg, P., & Carrington, P. (2021) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3441852.3471215 · Cited by 42 · see citing works
“As an input method, prior research has explored speech [2, 8, 11, 45] and mid-air gestures [13] as input options for people with visual impairments.”
BackgroundMethodHey ASR System! Why Aren’t You More Inclusive?
Ngueajio, M. K., & Washington, G. J. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-21707-4_30 · Cited by 43 · see citing works
“On the flip side, Branham and Roy [55] address this issue by exploring jargon in the design guidelines of popular commercial voice-based personal assistants that may hinder ASR systems’ accessibility for blind users.”
BackgroundMildner, T., Cooney, O., Meck, A.-M., Bartl, M., Savino, G.-L., Doyle, P. R., Garaialde, D., Clark, L., Sloan, J., Wenig, N., et al. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642542 · Cited by 39 · see citing works
“In particular, the use of language, uttered or typed, as a primary input for CUIs poses problems regarding the ease with which users can explore their functionalities [9, 15, 96] or restricting the assessment of a system’s capabilities and boundaries [30, 47, 62].”
InfluentialKeep it Short: A Comparison of Voice Assistants’ Response Behavior
Haas, G., Rietzler, M., Jones, M., & Rukzio, E. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3517684 · Cited by 40 · see citing works
"All in the Same Boat": Tradeoffs of Voice Assistant Ownership for Mixed-Visual-Ability Families
Storer, K. M., Judge, T. K., & Branham, S. M. (2020) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376225 · Cited by 36 · see citing works
“The unique accessibility of VAs has been previously identified for PWVI [1,15,40,53] and for children [21,27,28,35,59], separately.”
BackgroundSelf-citationKane, S. K., Guo, A., & Morris, M. R. (2020) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3373625.3416990 · Cited by 36 · see citing works
Exploring Chart Question Answering for Blind and Low Vision Users
Kim, J., Srinivasan, A., Kim, N. W., & Kim, Y. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581532 · Cited by 37 · see citing works
Defining Patterns for a Conversational Web
Pucci, E., Possaghi, I., Cutrupi, C. M., Báez, M., Cappiello, C., & Matera, M. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581145 · Cited by 29 · see citing works
Are Current Voice Interfaces Designed to Support Children’s Language Development?
Xu, Y., Branham, S. M., Deng, X., Collins, P., & Warschauer, M. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445271 · Cited by 28 · see citing works
“According to one analysis, existing guidelines collectively emphasize the importance of designing VUIs to replicate human-to-human conversation [8, 54].”
BackgroundSelf-citationWhat's The Talk on VUI Guidelines? A Meta-Analysis of Guidelines for Voice User Interface Design
Murad, C., Candello, H., & Munteanu, C. (2023) · Proceedings of the 5th International Conference on Conversational User Interfaces · doi:10.1145/3571884.3597129 · Cited by 24 · see citing works
Reinders, S., Butler, M., Ingrid Zukerman, A., Lee, B., Qu, L., & Marriott, K. (2024) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2024.3456358 · Cited by 25 · see citing works
“Placing users in control during conversational interactions has been identified as a critical need with mainstream conversational agents [1,4].”
Teaching computational thinking to exceptional learners: lessons from two inclusive classrooms
Prado, Y., Jacob, S. R., & Warschauer, M. (2021) · Computer Science Education · doi:10.1080/08993408.2021.1914459 · Cited by 23 · see citing works
Xu, S., Chen, C., Liu, Z., Jin, X., Yuan, L.-P., Yan, Y., & Qu, H. (2024) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3654777.3676336 · Cited by 21 · see citing works
“Recent studies have investigated the accessibility issues of voice assistants like Siri [2, 12, 18, 58].”
Designing Conversational Multimodal 3D Printed Models with People who are Blind
Reinders, S., Ananthanarayan, S., Butler, M., & Marriott, K. (2023) · Designing Interactive Systems Conference · doi:10.1145/3563657.3595989 · Cited by 21 · see citing works
“Prior work has already identified that customisation of conversational interfaces is needed to help remove restrictions on blind users’ interactions [2, 8, 20].”
BackgroundInfluentialA content analysis of voice-based apps on the market for early literacy development
Xu, Y., & Warschauer, M. (2020) · ACM International Conference on Interaction Design and Children (IDC) · doi:10.1145/3392063.3394418 · Cited by 21 · see citing works
Sonntag, M., Mehmann, J., & Teuteberg, F. (2023) · Journal of Organizational Computing and Electronic Commerce · doi:10.1080/10919392.2023.2276631 · Cited by 20 · see citing works
“…with interaction design elements as (quality assessable and verifiable) signals (stimuli) (e.g., send chat history, embedded star evaluation) (based on Belver-Delgado, San-Martín, and Hernández-Maestro 2020; Branham and Mukkath Roy 2019; Diederich, Brendel, and Kolbe 2020; Elshan et al. 2022).”
BackgroundSmart Speakers for Inclusion: How Can Intelligent Virtual Assistants Really Assist Everybody?
Sciarretta, E., & Alimenti, L. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-78462-1_6 · Cited by 19 · see citing works
Oumard, C., Kreimeier, J., & Götzelmann, T. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-08648-9_45 · Cited by 19 · see citing works
A Large-Scale Mixed-Methods Analysis of Blind and Low-vision Research in ACM and IEEE
Thoo, Y.-J., Medina, M. J., Froehlich, J. E., Ruffieux, N., & Lalanne, D. (2023) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3597638.3608412 · Cited by 27 · see citing works
“Speech [10, 25, 67, 92] and touch [48, 53, 59, 85, 109, 136] modalities received the most interest.”
BackgroundRecentering Reframing as an RtD Contribution
Zimmerman, J., Steinfeld, A. M., Tomasic, A., & Romero, O. J. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3517789 · Cited by 18 · see citing works
“Some researchers questioned if CAs might work well, noting that they don’t support the rapid reading pace of screen-readers [11].”
BackgroundA Systematic Review of Accessibility Techniques for Online Platforms: Current Trends and Challenges
Bercaru, V., & Popescu, N. (2024) · Applied Sciences · doi:10.3390/app142210337 · Cited by 21 · see citing works
Meck, A.-M., & Precht, L. (2021) · International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI) · doi:10.1145/3409118.3475144 · Cited by 16 · see citing works
“Research has been conducted as to how a conversational user interface needs to be designed in terms of best practices for dialog guidance and dialog management, covering structural as well as technical aspects of voice design [2, 7, 12–14].”
BackgroundBai, S., Yu, D., Han, C., Yang, M., Islam, N., Yang, Z., Tang, R., & Zhao, J. (2023) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2023.3327500 · Cited by 16 · see citing works
Exploring Interactive Sound Design for Auditory Websites
Zhang, L., Shao, J., Liu, A. A., Jiang, L., Stangl, A. J., Fourney, A., Morris, M. R., & Findlater, L. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3517695 · Cited by 14 · see citing works
Perera, M., Ananthanarayan, S., Goncu, C., & Marriott, K. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713634 · Cited by 14 · see citing works
“Prior research has shown that virtual assistants such as Siri [14], Alexa [12] and Google Assistant [49] are beneficial for blind people [1, 2, 22, 94, 98], but are limited to lightweight tasks such as playing music, determining weather [71, 73], accessing emails, and setting reminders [2].”
Facilitating Mindful Eating with a Voice Assistant
Zhang, M., Papachristos, E., & Merritt, T. R. (2023) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3571884.3604311 · Cited by 12 · see citing works
Unfolding the Potential of Generative Artificial Intelligence
Bonnet, S., & Teuteberg, F. (2025) · International Journal of Knowledge Management · doi:10.4018/ijkm.368223 · Cited by 12 · see citing works
A Recipe for Success? Exploring Strategies for Improving Non-Visual Access to Cooking Instructions
Li, F. M., Wang, A., Carrington, P., & Kane, S. K. (2024) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3663548.3675662 · Cited by 12 · see citing works
Guan, Z., Xiong, Z., & Fan, M. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642213 · Cited by 12 · see citing works
Limitations in speech recognition for young adults with down syndrome
Cibrian, F. L., Chen, Y. ‘., Anderson, K., Abrahamsson, C. M., & Motti, V. G. (2025) · Universal Access in the Information Society · doi:10.1007/s10209-025-01197-4 · Cited by 9 · see citing works
How can I help you? Design principles for task-oriented speech dialog systems in customer service
Oesterreich, T. D., Anton, E., Schuir, J., Brehm, A., & Teuteberg, F. (2022) · Information Systems and e-Business Management · doi:10.1007/s10257-022-00570-7 · Cited by 9 · see citing works
“Nonetheless, the SDS should admit mistakes without making the user feel responsible for them to maintain user trust (R4) (Branham and Mukkath Roy 2019).”
BackgroundKuriakose, B., Shrestha, R., & Sandnes, F. E. (2023) · Biannual Conference of the Italian SIGCHI Chapter (CHItaly) · doi:10.1145/3605390.3605421 · Cited by 12 · see citing works
Beltrán-Iza, E. A., Noroña-Meza, C. O., Robayo-Nieto, A. A., Padilla, O., & Toulkeridis, T. (2022) · Sustainability · doi:10.3390/su142417027 · Cited by 8 · see citing works
Karim, S., Kang, J., & Girouard, A. (2023) · Designing Interactive Systems Conference · doi:10.1145/3563657.3595970 · Cited by 8 · see citing works
“We now ofer four design guidelines and situate our guidelines in prior work.”
MethodTrajectory Correction for Visually Impaired Athletes on 100 m Paralympic Races
Júnior, L. A. Q. C., Oka, G. T. R., Bastos, M. P., Baima, R. L., Ferst, N. C., Lima, A. C. O., Martins, A. I., & Rocha, N. P. (2021) · Lecture notes in networks and systems · doi:10.1007/978-3-030-85799-8_33 · Cited by 7 · see citing works
Apple Siri (input) + Voice Over (output) = a de facto marriage
Sayago, S., & Ribera, M. (2020) · International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion (DSAI) · doi:10.1145/3439231.3440603 · Cited by 7 · see citing works
“These results concur with [3] and challenge (a) the importance of human-human conversation in VAs (and CUI) research [2] and commercial guidelines [6], and (b) the computers as social actors (CASA) paradigm [27], at least for Siri or more tool-oriented VAs.”
BackgroundResultInfluentialOumard, C., Kreimeier, J., & Götzelmann, T. (2022) · International Conference on PErvasive Technologies Related to Assistive Environments (PETRA) · doi:10.1145/3529190.3529197 · Cited by 6 · see citing works
“assistants [34], on how fundamental metaphors and guidelines for designing voice assistants might empower and constrain visually impaired users [7], on the risk and potential of voice assistants [22], and concerns from the users’ perspective [8] were conducted.”
BackgroundAvdic, M., & Vermeulen, J. (2020) · Australian Conference on Human-Computer Interaction (OzCHI) · doi:10.1145/3441000.3441068 · Cited by 10 · see citing works
“Yet, visually impaired users may prefer information delivery via high-pace speech [9].”
BackgroundDesigning Accessible Audio Nudges for Voice Interfaces
Jamshed, H., Nurain, N., & Brewer, R. N. (2025) · International Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713563 · Cited by 8 · see citing works
“For instance, researchers emphasize voice interface design that minimizes cognitive load [13, 68].”
Ma, Q., Zhang, Y., Xu, W., & Zhou, R. (2022) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2131265 · Cited by 5 · see citing works
“However, an interaction model of Voice-Activated Personal Assistants encourages designers to assign characteristics like social status to their creations (Branham & Mukkath Roy, 2019).”
BackgroundEnhancing Productivity Applications for People who are Blind using AI Assistants
Perera, M. U. S. (2024) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3613905.3638180 · Cited by 6 · see citing works
“Prior research [1, 2, 11, 43, 46] that focused on the usability of virtual assistants for blind users has revealed that, despite the challenges primarily encountered around speech recognition errors and an inability to follow up on tasks, the use of virtual assistants ultimately proved beneficial.”
Barzilai, G., & Rampino, L. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-49760-6_2 · Cited by 5 · see citing works
WSREB Mechanism: Web Search Results Exploration Mechanism for Blind Users
Naseer, S., Rashid, U., Saddal, M., Khan, A. R., Abbas, Q., & Daadaa, Y. (2023) · Applied Sciences · doi:10.3390/app131911007 · Cited by 3 · see citing works
Will the Assistant Become the Driver, and the Driver Become the Assistant?
Meck, A.-M., Sardone, M., & Cullmann, J. (2023) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3571884.3603753 · Cited by 3 · see citing works
“Although the technology would have been most beneficial for blind or visually impaired users, this user group was not sufficiently considered for a long time [7].”
BackgroundDrivers of Trust in Generative AI-powered Voice Assistants: The Role of References
Widjaya, M. A., Bermúdez, J. P., Moradbakhti, L., & Calvo, R. A. (2023) · Electronic workshops in computing · doi:10.14236/ewic/bcshci2023.13 · Cited by 4 · see citing works
Medina, M. J., Thoo, Y.-J., Baudet, C., Froehlich, J. E., Ruffieux, N., & Lalanne, D. (2025) · ACM Transactions on Accessible Computing · doi:10.1145/3726531 · Cited by 3 · see citing works
“The speech modality is investigated through voice personal assistants within main-stream devices (e.g., Apple Siri, Amazon Alexa, and Amazon Echo) [12, 152], which have rapidly become pervasive in households as smart speakers and on-the-go as mobile applications [30].”
Voice-based conversational agents for sensing and support: Examples from academia and industry
Bérubé, C., & Fleisch, E. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-90045-4.00017-4 · Cited by 3 · see citing works
Meck, A.-M., Draxler, C., & Vogt, T. (2024) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2023.2266791 · Cited by 3 · see citing works
“For instance, a study found that blind users can handle a much higher degree of linguistic complexity than their sighted peers (Branham & Mukkath Roy, 2019).”
Conversational Web Browsing: Where Do Existing DesignGuidelines Fall Short?
Piro, L., Verma, H., & Matera, M. (2025) · Biannual Conference of the Italian SIGCHI Chapter (CHItaly) · doi:10.1145/3750069.3750161 · Cited by 2 · see citing works
“This confirms that also in academia diverse needs and abilities are still underrepresented in the design guidance, like the work by Branham et al. [9] already highlighted for commercial guidelines.”
Designing generative AI chatbots for decentralized finance: deriving insights from DeFAI
Bonnet, S., Hannemann, J.-G. A., & Teuteberg, F. (2026) · Electronic Commerce Research · doi:10.1007/s10660-026-10116-5 · Cited by 2 · see citing works
Figueira, I., Cisneros, J. M., Leachman, M. A., Peña, E. D., & Branham, S. M. (2024) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3663548.3688482 · Cited by 3 · see citing works
Self-citationAkter, T., Swaminathan, M., & Kapadia, A. C. (2024) · International Web for All Conference (W4A) · doi:10.1145/3677846.3677862 · Cited by 2 · see citing works
“Given the extensive use of speech-based assistive technologies by PVIs, researchers have focused on how the listening abilities of PVIs can affect their experiences with such systems [17, 29, 32].”
BackgroundBringing Cognitive Augmentation to Web Browsing Accessibility
Pina, A., Báez, M., & Daniel, F. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-76352-7_37 · Cited by 1 · see citing works
“that users often feel responses being too verbose, frustrated at interacting at a lower pace than desired, or not able adapt interactions to the requirements of social situations. It has been argued [12] that guidelines by major commercial voice-based assistants fail to capture preferences and experience of BVIP, used…”
BackgroundEmpowering Autonomy and Agency: Exploring and Augmenting Accessible Cyber-Physical Systems
Li, F. M., & Carrington, P. (2023) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/3594739.3610770 · Cited by 1 · see citing works
“For example, prior research also explored using computer vision [9, 11, 23, 27], voice interactions [4, 8], and 3D printed tactile marking [12, 13] to better support people with visual impairments interacting with different physical interfaces.”
BackgroundTsurumi, M., & Miyagi, M. (2025) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc58881.2025.11342994 · Cited by 1 · see citing works
“The goal of [4] is to revise existing guidelines to promote the universal usability of voice assistants.”
Exploring Object Status Recognition for Recipe Progress Tracking in Non-Visual Cooking
Li, F. M., Ng, K., Zhu, B., & Carrington, P. (2025) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3663547.3746318 · Cited by 3 · see citing works
Designing Accessible Calendar Tools for Blind and Low-Vision Users
Erdemli, M. (2025) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3663547.3759423
“BLV users report challenges with speech recognition accuracy and error correction [3], and VAPAs may not provide the level of control or feedback needed for complex calendar tasks [4].”
InfluentialChae, J., Seo, G., Jeong, S., et al. (2026) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/3742413.3789155 · Cited by 1 · see citing works
“Prior research has established foundational design principles for conversational AI and assistive tools [31, 35, 50], while also cautioning that fixed, generalized rules can fail under situated accessibility demands [7, 55].”
Murad, C., Munteanu, C., Cowan, B. R., Clark, L., Porcheron, M., Fischer, J., Candello, H., & Langevin, R. (2023) · International Conference on Conversational User Interfaces · doi:10.1145/3571884.3597440
“We are also seeing a large commercial push and demand for usable CUIs - many of which we’ve already seen the likes of, such as Google Assistant, Amazon Alexa, and Siri.”
BackgroundInfluential(2024) · Advances in Machine Learning & Artificial Intelligence · doi:10.33140/amlai.05.01.05
Tsurumi, M., & Miyagi, M. (2025) · International Conference on Electrical and Computer Engineering Researches (ICECER) · doi:10.1109/icecer65523.2025.11401141
Esposito, A., Lanzilotti, R., Matera, M., Piccinno, A., Piro, L., Pucci, E., & Ragone, G. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2659951 · Cited by 2 · see citing works
Speaking with LLMs: Co-Designing Voice Interaction Patterns with Blind and Visually Impaired Users
Pucci, E., Fede, G. D., Gilbert, M., Leporini, B., Andolina, S., & Matera, M. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2688501
A Framework for Interactive Machine Learning and Enhanced Conversational Systems
Conn, P., Robinson, J. Y., Abisla, R., Cattiau, J., Batra, S., & Phan, M. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-29653-5_13
Emerging Risks of Conversational AI
Kalirai, M., Wei, C., Mildner, T., Zargham, N., Höhn, S., Desai, S., Lee, M., Candello, H. C. D. S. P., & Kuzminykh, A. (2026) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3816046.3816322
Piro, L., Candello, H. C. D. S. P., Matera, M., & Murad, C. (2026) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3816046.3816323
From tabbing to talking: LLM-driven conversational agents for web form interaction
Pucci, E., Piro, L., & Matera, M. (2026) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2026.103925 · Cited by 1 · see citing works
- Authors
- Branham, S. M., & Mukkath Roy, A. R.
- Affiliations
- University of California, Irvine (US)
- University of Maryland, Baltimore County, Baltimore, MD, USA
- ORCID
- Branham, Stacy M.
- Venue
- Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility
- Publisher
- ACM
- Published
- 2019-10-24
- Pages
- 446-458
- OpenAlex
- W2981912314
- Semantic Scholar
- 8e75ce87feb968d67b7a7429cd7445d45339b4e8
- Cited by
- 75
- References
- 39
- Citations by year
- 2026: 10 · 2025: 10 · 2024: 10 · 2023: 17 · 2022: 10 · 2021: 9 · 2020: 9
- FWCI
- 13.45
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) (publishedVersion)
- Funders
- TRX Systems, Inc.
- Maryland Industrial Partnerships Program
- Topics
- Social Sciences › Human Factors and Ergonomics › Digital Accessibility for Disabilities
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Keywords
- design guidelines, visual impairment, accessibility, universal usability, assistive technology, voice user interface design
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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