Seniors’ Perception of Smart Speakers: Challenges and Opportunities Elicited in the Silver&Home Living Lab
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Older adults often find it challenging to remember commands associated with voice assistant features and skills, even simple wake words.
“they often find it challenging to remember commands associated with VA features and skills [49, 57]-even those as simple as a wake word [1, 15, 49].”
From Situated Understanding of Errors in Older Adults' Interactions with Voice Assistants: A Month-Long, In-Home Study (2026) · cites this paper as [1]
Cites
Use of Intelligent Voice Assistants by Older Adults with Low Technology Use
Pradhan, A., Lazar, A., & Findlater, L. (2020) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3373759 · Cited by 285 · see citing works
Pradhan, A., Findlater, L., & Lazar, A. (2019) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3359316 · Cited by 223 · see citing works
Older Adults and Voice Interaction: A Pilot Study with Google Home
Kowalski, J., Jaskulska, A., Skorupska, K., Abramczuk, K., Biele, C., Kopeć, W., & Marasek, K. (2019) · Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290607.3312973 · Cited by 125 · see citing works
Voice assistants and older people: some open issues
Sayago, S., Neves, B. B., & Cowan, B. R. (2019) · Proceedings of the 1st International Conference on Conversational User Interfaces · doi:10.1145/3342775.3342803 · Cited by 97 · see citing works
Understanding Older Adults' Participation in Design Workshops
Pradhan, A., Jelen, B., Siek, K. A., Chan, J., & Lazar, A. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376299 · Cited by 75 · see citing works
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Mahmood, A., Wang, J., & Huang, C.-M. (2026) · ACM Transactions on Accessible Computing · doi:10.1145/3796236 · Cited by 6 · see citing works
“In this work, we explore if incorporating LLMs into VAs can reduce errors for older adults as seen in our prior work for young adults [48] and what new error and recovery patterns might emerge.”
- Authors
- Angelini, L., Caon, M., Michielan, E., Khaled, O. A., & Mugellini, E.
- Affiliations
- HES-SO University of Applied Sciences and Arts Western Switzerland (CH)
- HES-SO Fribourg (CH)
- Corresponding author
- Angelini, Leonardo
- Venue
- Lecture Notes in Networks and Systems
- Publisher
- Springer International Publishing
- Published
- 2021
- Pages
- 137-144
- ISSN
- 2367-3370 (ISSN-L)
- 2367-3389
- OpenAlex
- W3159746645
- Cited by
- 4
- References
- 5
- Citations by year
- 2025: 2 · 2023: 1 · 2022: 1
- FWCI
- 1.44
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in networks and systems (publishedVersion)
- ArODES (HES-SO (https://www.hes-so.ch/)) (submittedVersion)
- Topics
- Social Sciences › Demography › Technology Use by Older Adults
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- smart speakers, older adults, voice assistants, UTAUT2, technology acceptance, independent living at home, smart lighting, quality of life, living alone, barriers to adoption
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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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