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How do Older Adults Set Up Voice Assistants? Lessons Learned from a Deployment Experience for Older Adults to Set Up Standalone Voice Assistants (2403.09043v1)

Published 14 Mar 2024 in cs.HC

Abstract: While standalone Voice Assistants (VAs) are promising to support older adults' daily routine and wellbeing management, onboarding and setting up these devices can be challenging. Although some older adults choose to seek assistance from technicians and adult children, easy set up processes that facilitate independent use are still critical, especially for those who do not have access to external resources. We aim to understand the older adults' experience while setting up commercially available voice-only and voice-first screen-based VAs. Rooted in participants observations and semi-structured interviews, we designed a within-subject study with 10 older adults using Amazon Echo Dot and Echo Show. We identified the values of the built-in touchscreen and the instruction documents, as well as the impact of form factors, and outline important directions to support older adult independence with VAs.

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References (25)
  1. A Novel Instrument for Measuring Older People’s Attitudes Toward Technology (TechPH): Development and Validation. Journal of Medical Internet Research 21, 5 (2019). https://doi.org/10.2196/13951
  2. Joan Palmiter Bajorek. 2018. Voice First Versus the Multimodal User Interfaces of the Future. https://www.uxmatters.com/mt/archives/2018/10/voice-first-versus-the-multimodal-user-interfaces-of-the-future.php
  3. Older people’s decisions regarding ‘ageing in place’: A Western Australian case study. Australasian Journal on Ageing 30, 3 (2011), 136–142. https://doi.org/10.1111/j.1741-6612.2010.00469.x
  4. Computer Proficiency Questionnaire: Assessing Low and High Computer Proficient Seniors. The Gerontologist 55, 3 (2015), 404–411. https://doi.org/10.1093/geront/gnt117
  5. How Might an Intelligent Voice Assistant Address Older Adults’ Health-related Needs?. In Journal of the American Geriatrics Society, Vol. 69. Wiley 111 River St, Hoboken 07030-5774, NJ, USA, S243–S244.
  6. Understanding Barriers and Design Opportunities to Improve Healthcare and QOL for Older Adults through Voice Assistants. In The 22nd International ACM SIGACCESS Conference on Computers and Accessibility (Virtual Event, USA) (ASSETS’ 21). Association for Computing Machinery. https://doi.org/10.1145/3441852.3471218
  7. Toward a Unified Metadata Schema for Ecological Momentary Assessment with Voice-First Virtual Assistants. In CUI 2021 - 3rd Conference on Conversational User Interfaces (Bilbao (online), Spain) (CUI ’21). Association for Computing Machinery, New York, NY, USA, Article 31, 6 pages. https://doi.org/10.1145/3469595.3469626
  8. Feasibility of Smart Speaker Use to Support Aging in Place. Innovation in aging 2, suppl_1 (2018), 560–560. https://doi.org/10.1093/geroni/igy023.2073
  9. Sara J. Czaja. 1997. Computer Technology and the Older Adult. In Handbook of Human-Computer Interaction (Second Edition) (second edition ed.), Marting G. Helander, Thomas K. Landauer, and Prasad V. Prabhu (Eds.). North-Holland, Amsterdam, 797–812. https://doi.org/10.1016/B978-044481862-1.50100-X
  10. Preferences for Receipt of Care Among Community-dwelling Adults. Journal of aging & social policy 16, 2 (2004), 49–65. https://doi.org/10.1300/J031v16n02_04
  11. Towards Visualization of Time–Series Ecological Momentary Assessment (EMA) Data on Standalone Voice–First Virtual Assistants. In Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility (Athens, Greece) (ASSETS ’22). Association for Computing Machinery, New York, NY, USA, Article 60, 4 pages. https://doi.org/10.1145/3517428.3550398
  12. Perceptions of Technology Among Older Adults. Journal of gerontological nursing 39, 1 (2013), 42–51. https://doi.org/10.3928/00989134-20121204-04
  13. Barriers and Enablers for Older Adults Participating in A Home-Based Pragmatic Exercise Program Delivered and Monitored by Amazon Alexa: A Qualitative Study. (2022). https://doi.org/10.1186/s12877-022-02963-2
  14. Sunyoung Kim and Abhishek Choudhury. 2021. Exploring Older Adults’ Perception and Use of Smart Speaker-based Voice Assistants: A Longitudinal Study. Computers in Human Behavior 124 (2021), 106914. https://doi.org/10.1016/j.chb.2021.106914
  15. Bret Kinsella. 2020. Amazon Smart Speaker Market Share Falls to 53% in 2019 with Google The Biggest Beneficiary Rising to 31%, Sonos Also Moves Up. https://voicebot.ai/2020/04/28/amazon-smart-speaker-market-share-falls-to-53-in-2019-with-google-the-biggest-beneficiary-rising-to-31-sonos-also-moves-up/
  16. Can an Intelligent Virtual Assistant (IVA) Meet Older Adult Health-Related Needs in the Context of a Geriatric 5Ms Framework?. In Journal OF the American Geriatrics Society, Vol. 70. Wiley 111 River St., Hoboken 07030-5774, NJ, USA, S245–S246.
  17. Who Prefers to Age in Place? Cross-sectional Survey of Middle-aged People in Japan. Geriatrics & Gerontology International 16, 5 (2016), 631–637. https://doi.org/10.1111/ggi.12503
  18. Medical Question Understanding and Answering for Older Adults. (2021).
  19. A Question of Access: Exploring the Perceived Benefits and Barriers of Intelligent Voice Assistants for Improving Access to Consumer Health Resources Among Low-income Older Adults. Gerontology and Geriatric Medicine 6 (2020), 2333721420985975. https://doi.org/10.1177/2333721420985975
  20. Technology Adoption and Learning Preferences for Older Adults: Evolving Perceptions, Ongoing Challenges, and Emerging Design Opportunities. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (Yokohama, Japan) (CHI ’21). Association for Computing Machinery, New York, NY, USA, Article 490, 13 pages. https://doi.org/10.1145/3411764.3445702
  21. Improving the Measurement of Older Adults’ Mobile Device Proficiency: Results and Implications from a Study of Older Adult Smartphone Users. IEEE Access 7 (2019), 150412–150422. https://doi.org/10.1109/ACCESS.2019.2947765
  22. Voice Assistant Reminders and the Latency of Scheduled Medication Use in Older Adults With Pain: Descriptive Feasibility Study. JMIR Formative Research 5, 9 (2021), e26361. https://doi.org/10.2196/26361
  23. Fat Finger Worries: How Older and Younger Users Physically Interact with PDAs. In IFIP Conference on Human-Computer Interaction. Springer, 267–280. https://doi.org/10.1007/11555261_24
  24. Milka Trajkova and Aqueasha Martin-Hammond. 2020. “Alexa is a Toy”: Exploring Older Adults’ Reasons for Using, Limiting, and Abandoning Echo. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3313831.3376760
  25. Kathryn Whitenton. 2017. Voice First: The Future of Interaction? https://www.nngroup.com/articles/voice-first
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Authors (8)
  1. Chen Chen (752 papers)
  2. Ella T. Lifset (4 papers)
  3. Yichen Han (7 papers)
  4. Arkajyoti Roy (2 papers)
  5. Michael Hogarth (5 papers)
  6. Alison A. Moore (5 papers)
  7. Emilia Farcas (6 papers)
  8. Nadir Weibel (23 papers)
Citations (1)
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