The DOI matches its Crossref record, with a small difference in title or year; 156 of the 175 references it cites were found in a registry or an index.
The State of Speech in HCI: Trends, Themes and Challenges
Open accessAbstract
Speech interfaces are growing in popularity. Through a review of 99 research papers this work maps the trends, themes, findings and methods of empirical research on speech interfaces in the field of human–computer interaction (HCI). We find that studies are usability/theory-focused or explore wider system experiences, evaluating Wizard of Oz, prototypes or developed systems. Measuring task and interaction was common, as was using self-report questionnaires to measure concepts like usability and user attitudes. A thematic analysis of the research found that speech HCI work focuses on nine key topics: system speech production, design insight, modality comparison, experiences with interactive voice response systems, assistive technology and accessibility, user speech production, using speech technology for development, peoples’ experiences with intelligent personal assistants and how user memory affects speech interface interaction. From these insights we identify gaps and challenges in speech research, notably taking into account technological advancements, the need to develop theories of speech interface interaction, grow critical mass in this domain, increase design work and expand research from single to multiple user interaction contexts so as to reflect current use contexts. We also highlight the need to improve measure reliability, validity and consistency, in the wild deployment and reduce barriers to building fully functional speech interfaces for research.RESEARCH HIGHLIGHTS: Most papers focused on usability/theory-based or wider system experience research with a focus on Wizard of Oz and developed systems Questionnaires on usability and user attitudes often used but few were reliable or validated Thematic analysis showed nine primary research topics Challenges identified in theoretical approaches and design guidelines, engaging with technological advances, multiple user and in the wild contexts, critical research mass and barriers to building speech interfaces
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“As extensively noted in VUI literature, VUIs are not “conversational” in nature [24,25,31,36,45,83].”
From OK Google, Let's Learn: Using Voice User Interfaces for Informal Self-Regulated Learning of Health Topics among Younger and Older Adults (2023) · cites this paper as [24]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Centred on the main dialogue actor in the breakdown-repairing process, research in repair strategies has been broadly divided into two areas: investigations into system-repair strategies and studies on user-repair strategies [10, 16].”
From System and User Strategies to Repair Conversational Breakdowns of Spoken Dialogue Systems: A Scoping Review (2024) · cites this paper as [16]
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Citations
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Cited by
Sorted by citations
Rapp, A., Curti, L., & Boldi, A. (2021) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2021.102630 · Cited by 733
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“This was also found by prior literature reviews of CAs [41, 139].”
ResultHeuristic Evaluation of Conversational Agents
Langevin, R., Lordon, R. J., Avrahami, T., Cowan, B. R., Hirsch, T., & Hsieh, G. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445312 · Cited by 162
“Unlike other forms of human-computer interfaces, there is little consensus as to best practice for the design of conversational agents [2].”
BackgroundToward a design theory for virtual companionship
Strohmann, T., Siemon, D., Khosrawi-Rad, B., & Robra-Bissantz, S. (2022) · Human-Computer Interaction · doi:10.1080/07370024.2022.2084620 · Cited by 95
“This is consistent with further studies in which the participants question the relevance of a friendship-like relationship with machines, as well as a human-like CA design (Clark et al., 2019b; Doyle et al., 2019).”
BackgroundMethodResultInfluentialExamining Design Choices of Questionnaires in VR User Studies
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“[9] note that evaluation of speech interfaces in real-world contexts is limited.”
BackgroundLLaMA-Omni2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech Synthesis
Fang, Q., Zhou, Y., Guo, S., Zhang, S., & Feng, Y. (2025) · Annual Meeting of the Association for Computational Linguistics · doi:10.48550/arxiv.2505.02625 · Cited by 103
“Speech, as a critical interface for human-computer interaction, can significantly enhance both interaction efficiency and user experience (Clark et al., 2019).”
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“Note that this paper introduces our framework, but the task of filling it in is far from complete: the most obvious omission is around how linguistic content affects speech-based interaction, which is thoroughly studied in [16].”
BackgroundMapping Perceptions of Humanness in Intelligent Personal Assistant Interaction
Doyle, P. R., Edwards, J., Dumbleton, O., Clark, L., & Cowan, B. R. (2019) · Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services · doi:10.1145/3338286.3340116 · Cited by 100
“Validated metrics to quantify user perceptions are needed in the field [11].”
BackgroundSelf-citationEliciting and Analysing Users’ Envisioned Dialogues with Perfect Voice Assistants
Volkel, S. T., Buschek, D., Eiband, M., Cowan, B. R., & Hussmann, H. (2021) · International Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445536 · Cited by 95
“They are conversational agents available through a number of devices such as smartphones, computers, and smart speakers [16, 68], and are widely used in a number of contexts such as domestic [68] and automotive settings [9].”
BackgroundVoice as a Design Material: Sociophonetic Inspired Design Strategies in Human-Computer Interaction
Sutton, S. J., Foulkes, P., Kirk, D., & Lawson, S. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300833 · Cited by 92
“But thus far, there has been little guidance of how to do this [12] and what the repercussions of VUI voices might be.”
BackgroundChoice of Voices: A Large-Scale Evaluation of Text-to-Speech Voice Quality for Long-Form Content
Cambre, J., Colnago, J., Maddock, J., Tsai, J. Y., & Kaye, J. (2020) · International Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376789 · Cited by 90
Revolution or evolution? Speech interaction and HCI design guidelines
Murad, C., Munteanu, C., Cowan, B. R., & Clark, L. (2019) · IEEE Pervasive Computing · doi:10.1109/mprv.2019.2906991 · Cited by 84
Self-citationState-of-the-Art Human-Computer-Interaction in Metaverse
Lv, Z. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2248833 · Cited by 105
“HCI is a rapidly growing field that presents both exciting new possibilities and formidable new obstacles (Clark et al., 2019; Ma et al., 2019; Vuletic et al., 2019).”
The Last Decade of HCI Research on Children and Voice-based Conversational Agents
Garg, R., Cui, H., Seligson, S., Zhang, B., Porcheron, M., Clark, L., Cowan, B. R., & Beneteau, E. (2022) · International Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3502016 · Cited by 82
“[27] conducted a systematic review of 99 articles across a range of HCI publication venues, focusing on non-embodied CAs.”
BackgroundMethodResultInfluentialSelf-citationWu, X.-Y. (2024) · System · doi:10.1016/j.system.2024.103498 · Cited by 125
Wu, Y., Rough, D., Bleakley, A., Edwards, J., Cooney, O., Doyle, P. R., Clark, L., & Cowan, B. R. (2020) · International Conference on Human-Computer Interaction with Mobile Devices and Services · doi:10.1145/3379503.3403563 · Cited by 77
“The proliferation of voice based Intelligent Personal Assistants (IPAs) like Google Assistant, on smart speakers and smartphones, has made speech a common interaction modality [8].”
BackgroundSelf-citationEnhancing Mobile Voice Assistants with WorldGaze
Mayer, S., Laput, G., & Harrison, C. (2020) · International Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376479 · Cited by 74
“[14] offer a comprehensive survey on multimodal techniques incorporating speech input.”
BackgroundDoyle, P. R., Clark, L., & Cowan, B. R. (2021) · International Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445206 · Cited by 71
“ACM ISBN 978-1-4503-8096-6/21/05. https://doi.org/10.1145/3411764.3445206 CCS CONCEPTS • Human-centered computing → Natural language interfaces; HCI theory, concepts and models; Interaction design theory, concepts and paradigms; • Applied computing → Psychology.”
BackgroundInfluentialSelf-citationReitmaier, T., Wallington, E., Raju, D. K., Klejch, O., Pearson, J. S., Jones, M., Bell, P., & Robinson, S. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3517639 · Cited by 56
“This is an adapted, participatory twist to Wizard of Oz approaches commonly used to showcase and demonstrate novel voice user interfaces [12].”
MethodEvaluating Human-Language Model Interaction
Lee, M., Srivastava, M., Hardy, A., Thickstun, J., Durmus, E., Paranjape, A., Gerard-Ursin, I., Li, X. L., Ladhak, F., Rong, F., et al. (2022) · arXiv · doi:10.48550/arxiv.2212.09746 · Cited by 61
Kocaballi, A., Sezgin, E., Clark, L., Carroll, J. M., Huang, Y., Huh-Yoo, J., Kim, J., Kocielnik, R., Lee, Y.-C., Mamykina, L., et al. (2022) · Journal of Medical Internet Research · doi:10.2196/38525 · Cited by 61
“The fragmented nature of speech-based CA work, in particular, has recently been addressed [29,78].”
Self-citationAcceptability of Speech and Silent Speech Input Methods in Private and Public
Pandey, L., Hasan, K., & Arif, A. S. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445430 · Cited by 57
“With the recent advances in speech recognition technology [1, 44, 87, 91, 108], today’s voice-based commercial products [23, 48, 62, 116–118, 120] can perform streaming, highaccuracy, low-latency speech recognition [15, 68] to revolutionize human-computer interaction [29].”
BackgroundSiri, Echo and Performance: You have to Suffer Darling
Aylett, M., Cowan, B. R., & Clark, L. (2019) · CHI Extended Abstracts · doi:10.1145/3290607.3310422 · Cited by 57
“WoZ could be an especially good starting point[2].”
BackgroundSelf-citationDifferentially Private Speaker Anonymization
Shamsabadi, A., Srivastava, B. M., Bellet, A., Vauquier, N., Vincent, E., Maouche, M., Tommasi, M., & Papernot, N. (2022) · Proceedings on Privacy Enhancing Technologies · doi:10.48550/arxiv.2202.11823 · Cited by 56
“[4], [26] have enabled the deployment of voice-based services such as dictation, voice search and voice assistants in our daily life [15].”
BackgroundMeasuring Voice UX Quantitatively: A Rapid Review
Seaborn, K., & Urakami, J. (2021) · Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411763.3451712 · Cited by 55
“This recent and rapid progress has triggered a renewed interest in research on “the voice of the machine” [9,45].”
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“Siri, Google Assistant, Amazon Echo) it is imperative that we develop an understanding of the mechanisms that drive language choices in HMD interactions [13].”
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“Clark et al. [15] have summarized empirical research comparing speech versus graphical interfaces on user performance and experience, which has shown mixed results.”
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“…from the majority of previous studies that investigated humanness in conversational agents relying on experiments or users ’ ex-post reports about their conversations with the agent (e.g., Clark et al., 2019; Doyle et al., 2019, 2021), we analyze real-world interactions between users and a chatbot.”
Exploring how politeness impacts the user experience of chatbots for mental health support
Bowman, R., Cooney, O., Newbold, J. W., Thieme, A., Clark, L., Doherty, G. J., & Cowan, B. R. (2023) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2023.103181 · Cited by 57
Self-citationFoodScrap: Promoting Rich Data Capture and Reflective Food Journaling Through Speech Input
Luo, Y., Kim, Y.-H., Lee, B., Hassan, N., & Choe, E. K. (2021) · Conference on Designing Interactive Systems · doi:10.1145/3461778.3462074 · Cited by 50
“With the rise of speech recognition and natural language processing (NLP) technologies, speech has become a prevalent modality to interact with digital devices [19].”
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MyMove: Facilitating Older Adults to Collect In-Situ Activity Labels on a Smartwatch with Speech
Kim, Y., Chou, D., Lee, B., Danilovich, M., Lazar, A., Conroy, D. E., Kacorri, H., & Choe, E. K. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3517457 · Cited by 42
“speech, which is widely embedded in consumer devices and digital systems [22].”
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“Suggest-ing a lack of sufcient guidelines, practitioners adopt graphical user interfaces (GUIs) best practices to account for the unique af-fordances that CUIs present [16, 46, 56].”
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Anand, A., Cavedon, L., Hagen, M., Joho, H., Sanderson, M., & Stein, B. (2020) · arXiv.org · doi:10.48550/arxiv.2005.08658 · Cited by 45
Determinants and consequences of trust in AI-based customer service chatbots
Prakash, A. V., Joshi, A., Nim, S., & Das, S. (2023) · Service Industries Journal · doi:10.1080/02642069.2023.2166493 · Cited by 55
A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness
Feng, T., Hebbar, R., Mehlman, N., Shi, X., Kommineni, A., & Narayanan, S. S. (2023) · APSIPA Transactions on Signal and Information Processing · doi:10.1561/116.00000084 · Cited by 39
“In addition, speech-centric modeling has created numerous research topics in human behavior understanding, human-computer interface (HCI) [41], and social media analysis, involving several widely used speech modeling techniques like automatic speech recognition [110], speech emotion recognition [5], automatic speaker…”
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Weidmüller, L. (2022) · Human-Machine Communication · doi:10.30658/hmc.4.5 · Cited by 43
“…items included were is reliable, gives security in information search, and respects people’s privacy, thereby incorporating common user (and designer) concerns regarding VBAs (Clark et al., 2019; Easwara Moorthy & Vu, 2015; Kinsella & Mutchler, 2020; Lei et al., 2018; Olson & Kemery, 2019).”
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Desai, S., & Twidale, M. (2023) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3609326 · Cited by 42
Algorithm Awareness as an Important Internet Skill: The Case of Voice Assistants
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“Scholarly work about people’s experiences with voice assistants is often based on qualitative methods and comes from the field of human–computer interaction (see Clark et al., 2019, for a review).”
BackgroundConversational Agents for Health and Wellbeing
Kocaballi, A., Quiroz, J., Laranjo, L., Rezazadegan, D., Kocielnik, R., Clark, L., Liao, Q., Park, S., Moore, R. J., & Miner, A. S. (2020) · CHI Extended Abstracts · doi:10.1145/3334480.3375154 · Cited by 42
“This workshop aims to address current issues and potential benefits by bringing together conversational UX designers, medical informatics, HCI, machine learning, and design researchers investigating:”
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Papakyriakopoulos, O., Choi, A. S. G., Thong, W. E., Zhao, D., Andrews, J. T. A., Bourke, R., Xiang, A., & Koenecke, A. (2023) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3593013.3594049 · Cited by 36
“Furthermore, it is valuable to perform in-the-wild experimentation including focus groups on developed SLT applications, which can uncover issues and harms affecting user populations [51].”
BackgroundFirefox 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
“As voice interactions have become more commonplace, a growing body of work [19] has helped to illustrate when, where, why, how, and for whom voice can be most useful, and the key challenges and limitations of voice assistants.”
BackgroundDesai, S., & Chin, J. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581507 · Cited by 38
“As extensively noted in VUI literature, VUIs are not “conversational” in nature [24, 25, 31, 36, 45, 83].”
BackgroundAlghamdi, E., Halvey, M., & Nicol, E. (2024) · ACM Conversational User Interfaces 2024 · doi:10.1145/3640794.3665558 · Cited by 36
“For the current review, the list of terms was derived directly from similar papers that performed systematic reviews on speech-based and conversational interfaces [7, 16, 52].”
BackgroundMethodMultimodal Natural Human–Computer Interfaces for Computer-Aided Design: A Review Paper
Niu, H.-W., van Leeuwen, C. V., Hao, J., Wang, G.-X., & Lachmann, T. (2022) · Applied Sciences · doi:10.3390/app12136510 · Cited by 36
Rapp, A., Boldi, A., Curti, L., Perrucci, A., & Simeoni, R. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580995 · Cited by 33
“, [17, 25]), which may not refect what actually happened during the interaction, or on experiments, in which people are given instructions on how to converse with the agent and are not pursuing their own situated goals [3, 79, 95]: nonetheless, if interaction is not driven by a real goal that refects the fulflment of…”
BackgroundZhang, L., Jiang, L., Washington, N. L., Liu, A. A., Shao, J., Fourney, A., Morris, M., & Findlater, L. (2021) · Proc. ACM Hum. Comput. Interact. · doi:10.1145/3449235 · Cited by 34
“Researchers have recently called for more work in voice design theory, particularly in specific contexts [10], and the above discussion can inform the extension of existing theory to users as producers of a voice.”
BackgroundDesigning Voice Interfaces: Back to the (Curriculum) Basics
Murad, C., & Munteanu, C. (2020) · International Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376522 · Cited by 34
Self-citationMental Workload and Language Production in Non-Native Speaker IPA Interaction
Wu, Y., Edwards, J., Cooney, O., Bleakley, A., Doyle, P. R., Clark, L., Rough, D., & Cowan, B. R. (2020) · CIU · doi:10.1145/3405755.3406118 · Cited by 33
“face interaction Current work on language productionin speech interface interactionalmostuniversally observes thelanguage choices ofL1 speakers. Even then, the volume of work on this topic is limited [9], with a focus on comparing language production in interactions between human-machine and human-human interlocutors.…”
BackgroundInfluentialSelf-citationParalinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation
Kim, H., Seo, S., Jeong, K., Kwon, O., Kim, S. Y., Kim, J., Lee, J., Song, E., Oh, M., Ha, J.-W., et al. (2024) · neural information processing systems · doi:10.52202/079017-4166 · Cited by 19
“Although automatic speech recognition (ASR) and text-to-speech (TTS) systems can be easily employed, the linguistic discrepancy between speech and text causes dialog inefficiencies and result in sub-optimal user experience [10, 11].”
Oh, J., Kim, W., Kim, S., Im, H., & Lee, S. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642193 · Cited by 35
“The WoZ method has been widely adopted in speech-based HCI studies [7, 12, 33].”
MethodWienrich, C., Carolus, A., Markus, A., Augustin, Y., Pfister, J., & Andreas Hotho, A. (2023) · Computers · doi:10.3390/computers12040077 · Cited by 31
“Intelligent voice assistants, or IVAs, which are integrated into smart speakers such as Amazon’s Alexa, are rapidly gaining popularity and becoming an integral part of everyday life [1,2].”
BackgroundShen, H., & Wang, M. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.107718 · Cited by 33
Do, T. D., McMahan, R. P., & Wisniewski, P. (2022) · International Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3517564 · Cited by 30
“Although early work found that there was no interaction between listener gender and speech fdelity [39], it is important to determine if older speech research applies to newer speech technologies [12, 56].”
BackgroundSpeech diversity and speech interfaces: considering an inclusive future through stammering
Clark, L., Cowan, B. R., Roper, A., Lindsay, S., & Sheers, O. (2020) · CIU · doi:10.1145/3405755.3406139 · Cited by 30
“3406139 [5], and attempts to move towards more conversational interactions with users [6], point to speech becoming more common in”
BackgroundSelf-citationCambre, J., Reig, S., Kravitz, Q., & Kulkarni, C. (2020) · Conference on Designing Interactive Systems · doi:10.1145/3357236.3395479 · Cited by 30
“Corresponding to a rise in voice assistant popularity, there has been a surge of interest within the HCI community in studying voice agents and other speech technology [15].”
BackgroundMaharjan, R., Rohani, D. A., Baekgaard, P., Bardram, J., & Doherty, K. (2021) · International Conference on Conversational User Interfaces · doi:10.1145/3469595.3469600 · Cited by 29
“And yet, there exists a general consensus among both HCI and healthcare researchers that limited design-oriented work has been conducted concerning CAs to date [12, 25, 28].”
BackgroundFinding a New Voice: Transitioning Designers from GUI to VUI Design
Murad, C., Munteanu, C., Cowan, B. R., & Clark, L. (2021) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3469595.3469617 · Cited by 30
“Research on designing usable VUIs is more limited than for other interaction types, as only recently have significant inroads been made in the VUI consumer space [9].”
BackgroundSelf-citationFrownOnError: Interrupting Responses from Smart Speakers by Facial Expressions
Yan, Y., Yu, C., Zheng, W., Tang, R., Xu, X., & Shi, Y. (2020) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376810 · Cited by 25
“For those who decides to interact with VUI, an important issue that affects user experience during the interaction is the conversation errors [7, 14], which require extra efforts for conversation recovery or lead to breakdowns [10].”
BackgroundCan Voice Assistants Sound Cute? Towards a Model of Kawaii Vocalics
Seaborn, K., Nam, S., Keckeis, J., & Itagaki, T. (2023) · CHI Extended Abstracts · doi:10.1145/3544549.3585656 · Cited by 28
“A variety of vocal qualities have been explored in computer voice over the past several decades [10, 43, 46].”
BackgroundHow context shapes the appropriateness of a robot’s voice
Torre, I., Latupeirissa, A., & McGinn, C. (2020) · IEEE International Symposium on Robot and Human Interactive Communication · doi:10.1109/ro-man47096.2020.9223449 · Cited by 28
A need for trust in conversational interface research
Edwards, J., & Sanoubari, E. (2019) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3342775.3342809 · Cited by 26
“Combining subjective, behavioral, and physiological measures of trust not only enrich the mixed methods approach proposed here for studying trust, but they may also, in combination, allow for creation of robust validated measures which are lacking in conversational HCI in general [2].”
BackgroundSelf-citationChin, J., Desai, S., Lin, S. (.-H., & Mejia, S. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3637365 · Cited by 27
“Conversely, the phenomenon of commercial VAs is nascent and lacks design guidelines and research on metaphors [16].”
BackgroundBräuer, P., & Mazarakis, A. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107362 · Cited by 39
Commercial video games as a resource for mental health: A systematic literature review
Boldi, A., & Rapp, A. (2021) · Behaviour and Information Technology · doi:10.1080/0144929x.2021.1943524 · Cited by 49
Edwards, J., Liu, H., Zhou, T., Gould, S. J. J., Clark, L., Doyle, P. R., & Cowan, B. R. (2019) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3342775.3342785 · Cited by 44
“This would also answer calls in the field for more theory-based understanding of speech interface interactions more generally [13].”
BackgroundSelf-citationBräuer, P., & Mazarakis, A. (2022) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2160228 · Cited by 36
“As a result, the use of speech to interact with automated systems has grown in popularity (Clark et al., 2019; Lopatovska et al., 2020).”
BackgroundDoyle, P. R., Gessinger, I., Edwards, J., Clark, L., Dumbleton, O., Garaialde, D., Rough, D. J., Bleakley, A., Branigan, H. P., & Cowan, B. R. (2025) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3729170 · Cited by 44
“However, although subjective measures are widely deployed, questions have been raised about the reliability and validity of the largely bespoke questionnaires normally used in these studies [19, 24, 52, 80].”
InfluentialSelf-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 36
“We derived the key-words directly from similar papers which performed meta-analyses on speech-based and conversational interfaces –the most relevant being a best paper from CHI 2019 which performed a large-scale survey on speech and voice interface papers in HCI [23] (see Table 1).”
MethodSelf-citationFaruk, L. I. D., Pal, D., Funilkul, S., Perumal, T., & Mongkolnam, P. (2024) · International journal of human computer interactions · doi:10.1080/10447318.2024.2359206 · Cited by 24
“Consequently, how to measure the UX of the CAs is an urgent yet unsolved question that has been pointed out by several recent research too (Clark et al., 2019; Dutsinma et al., 2022; Guerino & Valentim, 2020; Silva & Canedo, 2022; Tubin et al., 2022).”
Transcending the “Male Code”: Implicit Masculine Biases in NLP Contexts
Seaborn, K., Chandra, S., & Fabre, T. (2023) · International Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581017 · Cited by 24
“While speakingwith and listening to computers has a long history within the field of human-computer interaction (HCI), these recent industrial and commercial trends have reinvigorated interest in the voice of the machine [28, 95].”
BackgroundTicTacToes: Assessing Toe Movements as an Input Modality
Muller, F., Schmitt, D., Matviienko, A., Schön, D., Günther, S., Kosch, T., & Schmitz, M. (2023) · International Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580954 · Cited by 24
“Besides voice-based interaction [12] which is known to be limited to quiet environments and poses privacy issues [46, 95], research proposed leveraging the movements of other body parts.”
The impact of the physical and social embodiment of voice user interfaces on user distraction
Moore, B. A., & Urakami, J. (2022) · Int. J. Hum. Comput. Stud. · doi:10.1016/j.ijhcs.2022.102784 · Cited by 24
Barger, A. S. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1364054 · Cited by 27
“…interaction field with its varied ways to conduct research with new technologies – hosting co-design workshops, facilitating interviews or focus groups, gathering feedback through prototype testing, implementing WOz experiments, and assessing established commercial systems (Clark et al., 2019).”
Feijóo-García, P. G., Zalake, M. S., de Siqueira, A. G., Lok, B. C. L., & Hamza-Lup, F. G. (2021) · ACM International Conference on Intelligent Virtual Agents (IVA) · doi:10.1145/3472306.3478367 · Cited by 28
“Human-Computer Interaction (HCI) researchers have also explored the role that speech has on listeners’ perceptions of spoken interfaces’ credibility [11, 9, 8, 36], and some of them have done so concerning virtual humans [25, 33, 10].”
BackgroundCorrect Pronunciation Detection of the Arabic Alphabet Using Deep Learning
Ziafat, N., Ahmad, H. F., Fatima, I., Zia, M., Alhumam, A., & Rajpoot, K. (2021) · Applied Sciences · doi:10.3390/app11062508 · Cited by 23
“Automatic speech recognition (ASR) [4] has received considerable attention and recently made significant progress with its applications in mobile computing [5], human– computer interaction [6,7], information retrieval [8], and assisted communication [9].”
Background"Hi! I am the Crowd Tasker" Crowdsourcing through Digital Voice Assistants
Hettiachchi, D., Sarsenbayeva, Z., Allison, F., van Berkel, N., Dingler, T., Marini, G., Kostakos, V., & Gonçalves, J. (2020) · International Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376320 · Cited by 23
“However, research highlights that voice interfaces require better theories and more design guidelines, due to persistent usability issues [14, 48].”
BackgroundExploring Verbal Uncanny Valley Effects with Vague Language in Computer Speech
Clark, L., Ofemile, A., & Cowan, B. R. (2020) · Prosody, phonology and phonetics · doi:10.1007/978-981-15-6627-1_17 · Cited by 23
Self-citationCross-Corpora Spoken Language Identification with Domain Diversification and Generalization
Dey, S., Sahidullah, M., & Saha, G. (2023) · Computer Speech and Language · doi:10.1016/j.csl.2023.101489 · Cited by 22
“Across the globe, the number of users relying upon modern-day speech applications, such as automatic speech recognition (ASR), speaker recognition and verification , speech synthesis , speech emotion recognition (SER), will keep on increasing [14].”
BackgroundExploring Smart Speaker User Experience for People Who Stammer
Bleakley, A., Rough, D., Roper, A., Lindsay, S., Porcheron, M., Lee, M., Nicholson, S., Cowan, B. R., & Clark, L. (2022) · International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3517428.3544823 · Cited by 22
“Prior research on speech as a modality in human-computer interaction (HCI) has demonstrated its benefts in improving access to interactive systems [12].”
BackgroundSelf-citationWhere is Vincent? Expanding our emotional selves with AI
Lee, M., Frank, L. E., de Kort, Y. A. W., & IJsselsteijn, W. A. (2022) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3543829.3543835 · Cited by 24
“With rapid commercialization, we now see a growing use of CUIs like Alexa in everyday places; research interests accompany this growing use [22, 55].”
BackgroundCUI@CHI: Mapping Grand Challenges for the Conversational User Interface Community
Candello, H., Munteanu, C., Clark, L., Sin, J., Torres, M. I., Porcheron, M., Myers, C. M., Cowan, B. R., Fischer, J., Schlögl, S., et al. (2020) · CHI Extended Abstracts · doi:10.1145/3334480.3375152 · Cited by 22
“Second, this workshop is intended to further grow the Conversational User Interfaces (CUIs) community and scaffold this area at CHI.”
BackgroundInfluentialSelf-citation“I Didn’t Catch That, But I’ll Try My Best”: Anticipatory Error Handling in a Voice Controlled Game
Zargham, N., Pfau, J., Schnackenberg, T., & Malaka, R. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3502115 · Cited by 20
“Although the technical aspects of VUIs have been largely investigated, researchers agree on the stance that the user side of speech interaction is relatively less explored [8, 22, 47, 49].”
BackgroundIs Alexa like a computer? A search engine? A friend? A silly child? Yes.
Desai, S., & Twidale, M. (2022) · Proceedings of the 4th Conference on Conversational User Interfaces · doi:10.1145/3543829.3544535 · Cited by 20
“Others have even questioned whether some conversational user interfaces are (or indeed should be) in effect conversational [7, 10– 12, 15, 25, 26, 29].”
BackgroundKlein, A. M., Deutschländer, J., Kölln, K., Rauschenberger, M., & Escalona, M. J. (2023) · Journal of Software Evolution and Process · doi:10.1002/smr.2618 · Cited by 23
“31 Furthermore, there is a lack of appropriate attention to the context of use, as UX evaluation questionnaires usually focus on perceived product qualities or emotions.”
Building and Designing Expressive Speech Synthesis
Aylett, M., Clark, L., Cowan, B. R., & Torre, I. (2021) · The Handbook on Socially Interactive Agents · doi:10.1145/3477322.3477329 · Cited by 19
Self-citationVölkel, S., Meindl, S., & Hussmann, H. (2021) · International Conference on Conversational User Interfaces · doi:10.1145/3469595.3469605 · Cited by 19
“Voice assistants (VAs) have permeated our daily lives, being ubiquitous across a range of devices such as smartphones, smart speakers, and computers [10, 45], and in a variety of environments such as the”
BackgroundConversational User Interfaces on Mobile Devices
Jaber, R., & McMillan, D. (2020) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3405755.3406130 · Cited by 17
“Despite this, the majority of research on CUIs seems to focus elsewhere, with only 15% of papers referenced in the recent review by Clark et al. [19] focusing on mobile interaction even after excluding embodied interaction with devices such as stand-alone smart speakers and robots.”
BackgroundIntelligent Attributes of Voice Assistants and User’s Love for AI: A SEM-Based Study
Pal, D., Babakerkhell, M. D., Papasratorn, B., & Funilkul, S. (2023) · IEEE Access · doi:10.1109/access.2023.3286570 · Cited by 25
“Hence, from the user’s perspective since it helps in reducing their information redundancy or overload and create personalized offerings for them, thereby it makes the VAs suitable as life companions on which the users can trust and depend upon [52], [53], [54].”
BackgroundCognitive Load Estimation From Speech Commands to Simulated Aircraft
Vukovic, M., Stolar, M. N., & Lech, M. (2021) · IEEE/ACM Transactions on Audio Speech and Language Processing · doi:10.1109/taslp.2021.3057492 · Cited by 25
Designing AI Personalities: Enhancing Human-Agent Interaction Through Thoughtful Persona Design
Zargham, N., Dubiel, M., Desai, S., Mildner, T., & Belz, H.-J. (2024) · International Conference on Mobile and Ubiquitous Multimedia (MUM) · doi:10.1145/3701571.3701608 · Cited by 15
Liesenfeld, A., Lopez, A., & Dingemanse, M. (2023) · SIGDIAL Conferences · doi:10.18653/v1/2023.sigdial-1.45 · Cited by 18
“As voice-based interactive technologies increasingly become part of everyday life, weaknesses in speech-to-text systems are rapidly becoming a key bottleneck (Clark et al., 2019).”
BackgroundConversational User Interfaces in Smart Homecare Interactions: A Conversation Analytic Case Study
Albert, S., Hamann, M., & Stokoe, E. (2023) · International Conference on Conversational User Interfaces · doi:10.1145/3571884.3597140 · Cited by 18
“For example, studies of the potential of CUIs for accessibility in a survey by Clark et al. 2019 tend to focus on the potential of speech technologies to enable people with a range of impairments to complete a specific set of performance-measurable tasks (see e.g., [5, 61, 71, 72]).”
BackgroundThe influence of conversational role on phonetic alignment toward voice-AI and human interlocutors
Zellou, G., Cohn, M., & Kline, T. (2021) · Language, Cognition and Neuroscience · doi:10.1080/23273798.2021.1931372 · Cited by 18
Systematic Review of Design Guidelines for Full-Body Interactive Games
Subramanian, S., Skjæret-Maroni, N., & Dahl, Y. (2020) · Interacting with Computers · doi:10.1093/iwc/iwaa026 · Cited by 18
Ringfort-Felner, R., Laschke, M., Neuhaus, R., Theofanou-Fülbier, D., & Hassenzahl, M. (2022) · Nordic Conference on Human-Computer Interaction · doi:10.1145/3546155.3546699 · Cited by 15
“In fact, recent reviews on voice assistants indicate a lack of concrete design guidance for the next generation of IPAs [12].”
BackgroundMethodInfluentialHow Do Illiterate People Interact with an Intelligent Voice Assistant?
da Silva, T. H. O., Furtado, V., Furtado, E. S., Mendes, M. S., Almeida, V. A. F., & Sales, L. (2022) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2121219 · Cited by 18
“…works previously described analyzed the accuracy of recognition of spoken vocabulary and the performance of users when performing tasks with an IVA, also known as task performance (Clark et al., 2019), in order to assess how prepared the system is to understand the diversity of users ’ discourses.”
BackgroundEthics of Conversational User Interfaces
Lee, M., Sin, J., Laban, G., Kraus, M., Clark, L., Porcheron, M., Cowan, B. R., Følstad, A., Munteanu, C., & Candello, H. (2022) · CHI Extended Abstracts · doi:10.1145/3491101.3503699 · Cited by 17
“Previous CUI research spans how to best design CUI interactions [4, 5, 9, 16, 17, 34, 44], such as tools and heuristics on voice-based interfaces [8, 36] and sociolinguistic considerations [9, 11, 27], as well as diverse ways to understand people’s difer-ent preferences or perceptions regarding…”
BackgroundSelf-citationHow do voice acoustics affect the perceived trustworthiness of a speaker? A systematic review
Maltezou-Papastylianou, C., Scherer, R., & Paulmann, S. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1495456 · Cited by 23
“…settings tends to refer to either canned speech (i.e., unchangeable pre-recorded speech samples) or synthesised speech, both seen in voice research (Nass and Brave, 2005; Kaur and Singh, 2023; Clark et al., 2019; Cambre and Kulkarni, 2019; Weinschenk and Barker, 2000; Kang and Heide, 1992).”
Qualitative Approaches to Voice UX
Seaborn, K., Urakami, J., Pennefather, P., & Miyake, N. (2024) · ACM Computing Surveys · doi:10.1145/3658666 · Cited by 18
“Qualitative research, however, is rarely characterized as posi-tivist.”
Influential
Metadata
- Authors
- Clark, L., Doyle, P., Garaialde, D., Gilmartin, E., Schlögl, S., Edlund, J., Aylett, M., Cabral, J., Munteanu, C., Edwards, J., & R Cowan, B.
- Affiliations
- University College Dublin (IE)
- Trinity College Dublin (IE)
- Universität Innsbruck (AT)
- KTH Royal Institute of Technology (SE)
- CereProc (United Kingdom) (GB)
- University of Toronto (CA)
- School of Information and Communication Studies, University College Dublin, Belfield, Dublin 4, Ireland
- Corresponding author
- Clark, Leigh
- ORCID
- Venue
- Interacting with Computers
- Publisher
- Oxford University Press (OUP)
- Published
- 2019-06-01
- Volume
- 31
- Issue
- 4
- Pages
- 349-371
- ISSN
- 0953-5438 (ISSN-L)
- 1873-7951
- OpenAlex
- W2896893982
- Cited by
- 193
- References
- 175
- Citations by year
- 2026: 12 · 2025: 27 · 2024: 28 · 2023: 34 · 2022: 37 · 2021: 27 · 2020: 19 · 2019: 9
- FWCI
- 10.61
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- Interacting with Computers (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Irish Research Council
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- speech interfaces, usability evaluation, Wizard of Oz, interactive voice response, assistive technology, accessibility, virtual assistants, user memory, speech production, modality comparison, research gaps, measurement reliability
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