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Use of Intelligent Voice Assistants by Older Adults with Low Technology Use

Authors:

Alisha Pradhan,

Leah FindlaterAuthors Info & Claims

ACM Transactions on Computer-Human Interaction (TOCHI), Volume 27, Issue 4

Article No.: 31, Pages 1 - 27

https://doi.org/10.1145/3373759

Published: 16 September 2020 Publication History

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Abstract

Voice assistants embodied in smart speakers (e.g., Amazon Echo, Google Home) enable voice-based interaction that does not necessarily rely on expertise with mobile or desktop computing. Hence, these voice assistants offer new opportunities to different populations, including individuals who are not interested or able to use traditional computing devices such as computers and smartphones. To understand how older adults who use technology infrequently perceive and use these voice assistants, we conducted a 3-week field deployment of the Amazon Echo Dot in the homes of seven older adults. While some types of usage dropped over the 3-week period (e.g., playing music), we observed consistent usage for finding online information. Given that much of this information was health-related, this finding emphasizes the need to revisit concerns about credibility of information with this new interaction medium. Although features to support memory (e.g., setting timers, reminders) were initially perceived as useful, the actual usage was unexpectedly low due to reliability concerns. We discuss how these findings apply to other user groups along with design implications and recommendations for future work on voice-user interfaces.

References

[1]

Amr Alanwar, Bharathan Balaji, Tian Yuan, Shuo Yang, and Mani Srivastava. 2017. EchoSafe: Sonar-based verifiable interaction with intelligent digital agents. In Proceedings of the 1st ACM Workshop on the Internet of Safe Things (SafeThings’17). 38--43.

Digital Library

[2]

Tawfiq Ammari, Jofish Kaye, Janice Y. Tsai, and Frank Bentley. 2019. Music, search, and IoT. ACM Transactions on Computer-Human Interaction 26, 3 (2019), Article 17.

Digital Library

[3]

Monica Anderson and Andrew Perrin. 2017. Technology use among seniors. Pew Research Center. Retrieved September 20, 2018 from http://www.pewinternet.org/2017/05/17/technology-use-among-seniors/.

[4]

Monica Anderson and Andrew Perrin. 2017. Barriers to Adoption and Attitudes Towards Technology. Retrieved September 1, 2018 from http://www.pewinternet.org/2017/05/17/barriers-to-adoption-and-attitudes-towards-technology/.

[5]

Monica Anderson, Andrew Perrin, and JIingjing Jiang. 11% of Americans don't use the internet. Who are they? Retrieved August 18, 2018 from http://www.pewresearch.org/fact-tank/2018/03/05/some-americans-dont-use-the-internet-who-are-they/.

[6]

Anne Aula. 2005. User study on older adults’ use of the web and search engines. Universal Access in the Information Society 4, 1 (2005), 67--81.

Digital Library

[7]

Momotaz Begum, Rosalie Wang, Rajibul Huq, and Alex Mihailidis. 2013. Performance of daily activities by older adults with dementia: The role of an assistive robot. In Proceedings of the IEEE International Conference on Rehabilitation Robotics. 1--8.

[8]

Diana Beirl, Nicola Yuill, and Yvonne Rogers. 2019. Using Voice Assistant Skills in Family Life. International Society of the Learning Sciences. Retrieved from https://repository.isls.org//handle/1/1750.

[9]

Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative Research in Pyschology 3, 2 (2006), 77--101.

[10]

R. N. Brewer, M. R. Morris, and S. E. Lindley. 2017. How to remember what to remember: Exploring possibilities for digital reminder systems. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 1, 3 (2017), Article 38.

[11]

Robin Brewer, Raymundo Cornejo Garcia, Tedmond Schwaba, Darren Gergle, and Anne Marie Piper. 2016. Exploring traditional phones as an e-mail interface for older adults. ACM Transactions on Accessible Computing 8, 2 (2016), Article 6.

Digital Library

[12]

Robin N. Brewer and Anne Marie Piper. 2017. xPress: Rethinking design for aging and accessibility through a voice-based online blogging community. Proceedings of the ACM on Human-Computer Interaction 1, CSCW (2017), Article 26.

[13]

Robin Brewer and Anne Marie Piper. 2016. “Tell It like it really is”: A case of online content creation and sharing among older adult bloggers. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. 5529--5542.

Digital Library

[14]

Rebecca Cherng Shiow Chang, Hsi Peng Lu, and Peishan Yang. 2018. Stereotypes or golden rules? Exploring likable voice traits of social robots as active aging companions for tech-savvy baby boomers in Taiwan. Computers in Human Behavior 84 (2018), 194--210.

[15]

Wonchan Choi. 2013. What makes online health information credible for older adults? In Proceedings of the CHI’13 Extended Abstracts on Human Factors in Computing Systems (CHI EA’13). 2671--2676.

Digital Library

[16]

Michael Crabb and Vicki L. Hanson. 2016. An analysis of age, technology usage, and cognitive characteristics within information retrieval tasks. ACM Transactions on Accessible Computing 8, 3 (2016), 10.

Digital Library

[17]

Sara J. Czaja, Neil Charness, Arthur D. Fisk, Christopher Hertzog, Sankaran N. Nair, Wendy A. Rogers, and Joseph Sharit. 2006. Factors predicting the use of technology: Findings from the center for research and education on aging and technology enhancement (CREATE). Psychology and Aging 21, 2 (2006), 333--352.

[18]

Gilbert Dizon. 2017. Using intelligent personal assistants for second language learning: A case study of alexa. TESOL Journal 8, 4 (2017), 811--830.

[19]

Stefania Druga, Randi Williams, Cynthia Breazeal, and Mitchel Resnick. 2017. “Hey google is it ok if i eat you ?” Initial explorations in child-agent interaction. In Proceedings of the 2017 Conference on Interaction Design and Children (IDC’17). 595--600.

Digital Library

[20]

Aarthi Easwara Moorthy and Kim-Phuong L. Vu. 2015. Privacy concerns for use of voice activated personal assistant in the public space. International Journal of Human-Computer Interaction 31, 4 (2015), 307--335.

[21]

Flávio Ferreira, Nuno Almeida, Ana Filipa. Rosa, André Oliveira, António Teixeira, and José Casimiro Pereira. 2013. Multimodal and adaptable medication assistant for the elderly: A prototype for interaction and usability in smartphones. In Proceedings of the 8th Iberian Conference on Information Systems and Technologies. 1--6.

[22]

Joel E. Fischer, Stuart Reeves, Martin Porcheron, and Rein Ove Sikveland. 2019. Progressivity for voice interface design. In Proceedings of the 1st International Conference on Conversational User Interfaces (CUI’19). Paper 26.

Digital Library

[23]

Thomas N. Friemel. 2016. The digital divide has grown old: Determinants of a digital divide among seniors. New Media and Society 18, 2 (2016), 313--331.

[24]

Nathaniel Fruchter and Ilaria Liccardi. 2018. Consumer attitudes towards privacy and security in home assistants. In Proceedings of the 2018 CHI Conference Extended Abstracts on Human Factors in Computing Systems. Paper LBW050.

Digital Library

[25]

Susan L. Gatto and Sunghee H. Tak. 2008. Computer, internet, and e-mail use among older adults: Benefits and barriers. Educational Gerontology 34, 9 (2008), 800--811.

[26]

Vinícius P. Gonçalves, Vânia P. de Almeida Neris, Sibelius Seraphini, Teresa C. M. Dias, Gustavo Pessin, Thienne Johnson, and Jó Ueyama. 2017. Providing adaptive smartphone interfaces targeted at elderly people: An approach that takes into account diversity among the elderly. Universal Access in the Information Society 16, 1 (2017), 129--149.

Digital Library

[27]

Eric Griffith and Rob Marvin. 2017. The best amazon alexa skills. PCMag.com. Retrieved March 25, 2018 from https://www.pcmag.com/article/352136/the-best-amazon-alexa-skills.

[28]

Matt Hanson and Jon Porter. 2018. The best Alexa Skills and commands: The ultimate Amazon Echo tips and tricks. TechRadar. Retrieved December 6, 2017 from https://www.techradar.com/how-to/the-best-amazon-echo-alexa-skills-and-how-to-install-them.

[29]

Christina N. Harrington, Kristin J. Hare, and Wendy A. Rogers. 2017. Developing a quick-start guide to aid older adults in interacting with gesture-based video games. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, 1 (2017), 32--36.

[30]

Julia Himmelsbach, Markus Garschall, Sebastian Egger, Susanne Steffek, and Manfred Tscheligi. 2015. Enabling accessibility through multimodality? interaction modality choices of older adults. In Proceedings of the 14th International Conference on Mobile and Ubiquitous Multimedia (MUM’15). 195--199.

Digital Library

[31]

Daniel J. Hruschka, Deborah Schwartz, Daphne Cobb St. John, Erin Picone-Decaro, Richard A. Jenkins, and James W. Carey. 2004. Reliability in coding open-ended data: Lessons learned from HIV behavioral research. Field Methods 16, 3 (2004), 307--331.

[32]

Lesa Huber and Carol Watson. 2014. Technology: Education and training needs of older adults. Educational Gerontology 40, 1 (2014), 16--25.

[33]

Matthew Jamieson, Brian O'Neill, Breda Cullen, Marilyn Lennon, Stephen Brewster, and Jonathan Evans. 2017. ForgetMeNot: Active reminder entry support for adults with acquired brain injury. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. 6012--6023.

Digital Library

[34]

Jakob D. Jensen, Andy J. King, LaShara A. Davis, and Lisa M. Guntzviller. 2010. Utilization of internet technology by low-income adults: The role of health literacy, health numeracy, and computer assistance. Journal of Aging and Health 22, 6 (2010), 804--826.

[35]

Heekyoung Jung, Heather Wiltse, Mikael Wiberg, and Erik Stolterman. 2017. Metaphors, materialities, and affordances: Hybrid morphologies in the design of interactive artifacts. Design Studies 53 (2017), 24--46.

[36]

Evangelos Karapanos, Jean-Bernard Martens, and Marc Hassenzahl. 2010. On the retrospective assessment of users’ experiences over time. In Proceedings of the 28th of the International Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA’10). 4075--4080.

Digital Library

[37]

Bran Knowles and Vicki L. Hanson. 2018. Older adults’ deployment of ‘distrust.’ ACM Transactions on Computer-Human Interaction 25, 4 (2018), Article 21.

Digital Library

[38]

Amanda Lazar, Mark Diaz, Robin Brewer, Chelsea Kim, and Anne Marie Piper. 2017. Going gray, failure to hire, and the ick factor: Analyzing how older bloggers talk about ageism. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. 655--668.

Digital Library

[39]

Amanda Lazar, Christian Koehler, Joshua Tanenbaum, and David H. Nguyen. 2015. Why we use and abandon smart devices. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp’15). 635--646.

[40]

Chaiwoo Lee and Joseph F. Coughlin. 2015. PERSPECTIVE: Older adults’ adoption of technology: An integrated approach to identifying determinants and barriers. Journal of Product Innovation Management 32, 5 (2015), 747--759.

[41]

Q. Vera Liao and Wai-Tat Fu. 2014. Age differences in credibility judgments of online health information. ACM Transactions on Computer-Human Interaction 21, 1 (2014), Article 2.

[42]

Siân E. Lindley, Richard Harper, and Abigail Sellen. 2009. Desiring to be in touch in a changing communications landscape: Attitudes of older adults. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 1693--1702.

Digital Library

[43]

Irene Lopatovska and Harriet Williams. 2018. Personification of the amazon alexa: BFF or a mindless companion? In Proceedings of the 2018 Conference on Human Information Interaction 8 Retrieval. 265--268.

Digital Library

[44]

Taylor Martin. 2016. 50 Alexa skills worth using—CNET. Retrieved December 6, 2017 from https://www.cnet.com/how-to/amazon-echo-most-useful-alexa-skills/.

[45]

Roisin McNaney, John Vines, Daniel Roggen, Madeline Balaam, Pengfei Zhang, Ivan Poliakov, Patrick Olivier, Rísin McNaney, John Vines, Daniel Roggen, Madeline Balaam, Pengfei Zhang, Ivan Poliakov, and Patrick Olivier. 2014. Exploring the acceptability of google glass as an everyday assistive device for people with parkinson's. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’14). 2551--2554.

Digital Library

[46]

Indrani Medhi, Somani Patnaik, Emma Brunskill, S.N. Nagasena Gautama, William Thies, and Kentaro Toyama. 2011. Designing mobile interfaces for novice and low-literacy users. ACM Transactions on Computer-Human Interaction 18, 1 (2011), Article 2.

Digital Library

[47]

Stephanie Medlock, Saeid Eslami, Marjan Askari, Derk L. Arts, Danielle Sent, Sophia E. De Rooij, and Ameen Abu-Hanna. 2015. Health information-seeking behavior of seniors who use the internet: A survey. Journal of Medical Internet Research 17, 1 (2015), e10.

[48]

Oussama Metatla, Alison Oldfield, Taimur Ahmed, Antonis Vafeas, and Sunny Miglani. 2019. Voice user interfaces in schools: Co-designing for Inclusion with visually-impaired and sighted pupils. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI’19). Paper 378.

Digital Library

[49]

Momoko Nakatani, Takehiko Ohno, Ai Nakane, Akinori Komatsubara, and Shuji Hashimoto. 2012. How to motivate people to use internet at home: Understanding the psychology of non-active users. In Proceedings of the 2012 Asia Pacific Conference on Computer-Human Interaction (APCHI’12). 259--268.

Digital Library

[50]

Jakob Nielsen. 1994. 10 Usability Heuristics for User Interface Design. Retrieved May 14, 2019 from https://www.nngroup.com/articles/ten-usability-heuristics/.

[51]

Tara Renee O'Brien, Frank Treiber, Carolyn Jenkins, and Angela Mercier. 2014. Use of computer and cellular phone technology by older rural adults. CIN: Computers Informatics Nursing 32, 8 (2014), 390--396.

[52]

Douglas A. Orr and Laura Sanchez. 2018. Alexa, did you get that? Determining the evidentiary value of data stored by the amazon® echo. Digital Investigation 24 (2018), 72--78.

[53]

Andrew Perrin and Jingjing Jiang. 2018. About a quarter of U.S. adults say they are ‘almost constantly’ online. Pew Research Center. Retrieved September 10, 2018 from http://www.pewresearch.org/fact-tank/2018/03/14/about-a-quarter-of-americans-report-going-online-almost-constantly/.

[54]

Pew Research Center. 2018. Mobile fact sheet. Pew Research Center. Retrieved from http://www.pewinternet.org/fact-sheet/mobile/.

[55]

Sam Pinney and James Laird. 2017. Best Alexa Skills: 17 Essential Skills for Your New Amazon Echo Speaker | Trusted Reviews. Retrieved December 6, 2017 from http://www.trustedreviews.com/news/alexa-skills-amazon-echo-2946222

[56]

Anne Marie Piper, Robin Brewer, and Raymundo Cornejo. 2017. Technology learning and use among older adults with late-life vision impairments. Universal Access in the Information Society 16, 3 (2017), 699--711.

Digital Library

[57]

Anne Marie Piper, Nadir Weibel, and James D. Hollan. 2013. Audio-enhanced paper photos: Encouraging social interaction at age 105. In Proceedings of the 2013 Conference on Computer Supported Cooperative Work. 215--224.

[58]

Carlos Galinho Pires, Fernando Miguel Pinto, Vítor Duarte Teixeira, João Freitas, and Miguel Sales Dias. 2012. Living home center—A personal assistant with multimodal interaction for elderly and mobility impaired e-inclusion. Proceedings of the International Conference on Computational Processing of the Portuguese Language (PROPOR’12).

[59]

Martin Porcheron, Joel E Fischer, Stuart Reeves, and Sarah Sharples. 2018. Voice interfaces in everyday life. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. Paper 640.

Digital Library

[60]

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 (2013), 127--144.

Digital Library

[61]

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. Paper 459.

Digital Library

[62]

Amanda Purington, Jessie G. Taft, Shruti Sannon, Natalya N. Bazarova, and Samuel Hardman Taylor. 2017. “Alexa is my new BFF”: Social roles, user satisfaction, and personification. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA’17). 2853--2859.

Digital Library

[63]

Agha Ali Raza, Bilal Saleem, Shan Randhawa, Zain Tariq, Awais Athar, Umar Saif, and Roni Rosenfeld. 2018. Baang: A viral speech-based social platform for under-connected populations. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI’18). Paper 643.

Digital Library

[64]

Simon Robinson, Jennifer Pearson, Shashank Ahire, Rini Ahirwar, Bhakti Bhikne, Nimish Maravi, and Matt Jones. 2018. Revisiting “hole-in-the-wall” computing: private smart speakers and public slum settings. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI’18). Paper 498.

Digital Library

[65]

Yvonne Rogers, Jeni Paay, Margot Brereton, Kate L. Vaisutis, Gary Marsden, and Frank Vetere. 2014. Never too old: Engaging retired people inventing the future with makey makey. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 3913--3922.

Digital Library

[66]

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 7, 2 (2015), Article 6.

Digital Library

[67]

Daisuke Sato, Masatomo Kobayashi, Hironobu Takagi, Chieko Asakawa, and Jiro Tanaka. 2011. How voice augmentation supports elderly web users. In Proceedings of the 13th International ACM SIGACCESS Conference on Computers and Accessibility. 155--162.

Digital Library

[68]

Sergio Sayago, Barbara Barbosa Neves, and Benjamin R. Cowan. 2019. Voice assistants and older people: some open issues. In Proceedings of the 1st International Conference on Conversational User Interfaces. Paper 7.

[69]

Laura Sbaffi and Jennifer Rowley. 2017. Trust and credibility in web-based health information: A review and agenda for future research. Journal of Medical Internet Research 19, 6 (2017), e218.

[70]

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). Paper 52.

[71]

Julia Schwarz and Meredith Morris. 2011. Augmenting web pages and search results to support credibility assessment. In Proceedings of the 2011 Annual Conference on Human Factors in Computing Systems (CHI’11). 1245--1254.

Digital Library

[72]

Joseph Sharit, Mario A. Hernández, Sara J. Czaja, and Peter Pirolli. 2008. Investigating the roles of knowledge and cognitive abilities in older adult information seeking on the web. ACM Transactions on Computer-Human Interaction 15, 1 (2008), Article 3.

Digital Library

[73]

Ben Shneiderman. The Eight Golden Rules of Interface Design. Retrieved May 14, 2019 from https://www.cs.umd.edu/∼ben/goldenrules.html.

[74]

Elizabeth Sillence, Pam Briggs, Lesley Fishwick, and Peter Harris. 2004. Trust and mistrust of online health sites. In Proceedings of the 2004 Conference on Human Factors in Computing Systems (CHI’04). 663--670.

Digital Library

[75]

Amanda L. Smith and Barbara S. Chaparro. 2015. Smartphone text input method performance, usability, and preference with younger and older adults. Human Factors 57, 6 (2015), 1015--1028.

[76]

Daniel Smolyak, Bongshin Lee, and Eun Kyoung Choe. 2018. TandemTrack. In Proceedings of the 2018 CHI Conference Extended Abstracts on Human Factors in Computing Systems. Paper LBW543.

[77]

Yuling Sun, Silvia Lindtner, Xianghua Ding, Tun Lu, and Ning Gu. 2015. Reliving the past 8 making a harmonious society today : A study of elderly electronic hackers in china. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work 8 Social Computing. 44--55.

Digital Library

[78]

Gokhan Tur, Asli Celikyilmaz, Xiaodong He, Dilek Hakkani-Tür, and Li Deng. 2018. Deep Learning in Conversational Language Understanding. Springer Singapore.

[79]

Michel Vacher, Benjamin Lecouteux, Dan Istrate, Thierry Joubert, François Portet, Mohamed Sehili, and Pedro Chahuara. 2013. Experimental evaluation of speech recognition technologies for voice-based home automation control in a smart home. In Proceedings of the 4th Workshop on Speech and Language Processing for Assistive Technologies. 99--105.

[80]

Eleftheria Vaportzis, Maria Giatsi Clausen, and Alan J. Gow. 2017. Older adults perceptions of technology and barriers to interacting with tablet computers: A focus group study. Frontiers in Psychology 8 (2017), Article 1687.

[81]

John Vines, Mark Blythe, Paul Dunphy, Vasilis Vlachokyriakos, Isaac Teece, Andrew Monk, and Patrick Olivier. 2012. Cheque mates: Participatory design of digital payments with eighty somethings. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 1189--1198.

Digital Library

[82]

John Vines, Gary Pritchard, Peter Wright, Patrick Olivier, and Katie Brittain. 2015. An age-old problem: Examining the discourses of ageing in HCI and strategies for future research. ACM Transactions on Computer-Human Interaction 22, 1 (2015), Article 2.

Digital Library

[83]

Alexandra Vtyurina and Adam Fourney. 2018. Exploring the role of conversational cues in guided task support with virtual assistants. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI’18). Paper 208.

Digital Library

[84]

David Warnock, Marilyn McGee-Lennon, and Stephen Brewster. 2013. Multiple notification modalities and older users. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 1091--1094.

Digital Library

[85]

Zhuxiaona Wei and James A. Landay. 2018. Evaluating speech-based smart devices using new usability heuristics. IEEE Pervasive Computing 17, 2 (2018), 84--96.

Digital Library

[86]

Krzysztof Willman. 2017. 25 Best Amazon Echo Skills in the Alexa App | TurboFuture. Retrieved December 6, 2017 from https://turbofuture.com/consumer-electronics/The-20-Best-Amazon-Echo-Skills-in-the-Alexa-App.

[87]

Maria K. Wolters, Christine Johnson, Pauline E. Campbell, Christine G. De Placido, and Brian McKinstry. 2014. Can older people remember medication reminders presented using synthetic speech? Journal of the American Medical Informatics Association 22, 1 (2014), 35--42.

[88]

Maria Klara Wolters, Fiona Kelly, and Jonathan Kilgour. 2016. Designing a spoken dialogue interface to an intelligent cognitive assistant for people with dementia. Health Informatics Journal 22, 4 (2016), 854--866.

[89]

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. 203--206.

Digital Library

[90]

Eric Zeng, Shrirang Mare, and Franziska Roesner. 2017. End user security 8 privacy concerns with smart homes. In Proceedings of the Symposium on Usable Privacy and Security (SOUPS’17).

Cited By

Yan ZDube VHeselton JJohnson KYan CJones VBlaskewicz Boron JShade M(2024)Understanding older people's voice interactions with smart voice assistants: a new modified rule-based natural language processing model with human inputFrontiers in Digital Health10.3389/fdgth.2024.13299106Online publication date: 14-May-2024
https://doi.org/10.3389/fdgth.2024.1329910
Bosco CShojaei FTheisz AOsorio Torres JCureton BHimes AJessup NBarnes PLu YHendrie HHill CShih P(2024)Testing Three Modalities - Voice Assistant, Chat Bot and Mobile App - to Assist Older African American/Black adults in Seeking Information on Alzheimer and related Dementias: Wizard of Oz Usability study. (Preprint)JMIR Formative Research10.2196/60650Online publication date: 24-May-2024
https://doi.org/10.2196/60650
Chang FSheng LGu Z(2024)Investigating the Integration and the Long-Term Use of Smart Speakers in Older Adults’ Daily Practices: Qualitative StudyJMIR mHealth and uHealth10.2196/4747212(e47472)Online publication date: 12-Feb-2024
https://doi.org/10.2196/47472
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Index Terms

Use of Intelligent Voice Assistants by Older Adults with Low Technology Use
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI

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cover image ACM Transactions on Computer-Human Interaction

ACM Transactions on Computer-Human Interaction Volume 27, Issue 4

Special Issue on HCI and the Body:?Reimagining Women's Health and Regular Papers

August 2020

358 pages

ISSN:1073-0516

EISSN:1557-7325

DOI:10.1145/3411214

Editor:
Kristina Höök
KTH Royal Institute of Technology, Sweden

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Publication History

Published: 16 September 2020

Online AM: 07 May 2020

Accepted: 01 November 2019

Revised: 01 November 2019

Received: 01 February 2019

Published in TOCHI Volume 27, Issue 4

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Cited By

Yan ZDube VHeselton JJohnson KYan CJones VBlaskewicz Boron JShade M(2024)Understanding older people's voice interactions with smart voice assistants: a new modified rule-based natural language processing model with human inputFrontiers in Digital Health10.3389/fdgth.2024.13299106Online publication date: 14-May-2024
https://doi.org/10.3389/fdgth.2024.1329910
Bosco CShojaei FTheisz AOsorio Torres JCureton BHimes AJessup NBarnes PLu YHendrie HHill CShih P(2024)Testing Three Modalities - Voice Assistant, Chat Bot and Mobile App - to Assist Older African American/Black adults in Seeking Information on Alzheimer and related Dementias: Wizard of Oz Usability study. (Preprint)JMIR Formative Research10.2196/60650Online publication date: 24-May-2024
https://doi.org/10.2196/60650
Chang FSheng LGu Z(2024)Investigating the Integration and the Long-Term Use of Smart Speakers in Older Adults’ Daily Practices: Qualitative StudyJMIR mHealth and uHealth10.2196/4747212(e47472)Online publication date: 12-Feb-2024
https://doi.org/10.2196/47472
Qu NLi JKongmanee JChignell M(2024)Public opinion on types of voice systems for older adultsJournal of Rehabilitation and Assistive Technologies Engineering10.1177/2055668324128741411Online publication date: 16-Oct-2024
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