ABSTRACT
Voice User Interfaces (VUIs) are quickly becoming ubiquitous. The natural language interface of VUIs may be more usable for some groups of users, such as those who may face challenges using physical input methods including older adults and people living with a disability. This study explores research on the use of VUIs by one such group, older adults. We conducted a systematic literature review of research published in the Association of Computing Machinery Digital Library that addresses perception and use of VUIs by older adults. We identified an emerging body of research examining older adults' use and perceptions of VUIs. This research revealed several potential benefits of voice interaction for older adults while also highlighting how the novelty of the technology may be a barrier to adoption. We conclude with a call for further HCI research in this area.
- Mohammad Rafayet Ali, Kimberly Van Orden, Kimberly Parkhurst, Shuyang Liu, Viet-Duy Nguyen, Paul Duberstein, and M Ehsan Hoque. 2018. Aging and Engaging: A Social Conversational Skills Training Program for Older Adults. In 23rd International Conference on Intelligent User Interfaces (IUI '18). ACM, New York, NY, USA, 55--66. https://doi.org/10.1145/3172944.3172958Google ScholarDigital Library
- Australian Communications and Media Autority. 2018. Report communications. Communications report 2017-2018 (2018), 162.Google Scholar
- Steven Baker, Jenny Waycott, Sonja Pedell, Thuong Hoang, and Elizabeth Ozanne. 2016. Older People and Social Participation: From Touch-Screens to Virtual Realities. In Proceedings of the International Symposium on Interactive Technology and Ageing Populations (ITAP '16). ACM, New York, NY, USA, 34--43. https://doi.org/10.1145/2996267.2996271Google ScholarDigital Library
- Timothy W Bickmore, Lisa Caruso, and Kerri Clough-Gorr. 2005. Acceptance and Usability of a Relational Agent Interface by Urban Older Adults. In CHI '05 Extended Abstracts on Human Factors in Computing Systems (CHIEA '05). ACM, New York, NY, USA, 1212--1215. https://doi.org/10.1145/1056808.1056879Google ScholarDigital Library
- Robin N Brewer and Anne Marie Piper. 2017. xPress: Rethinking Design for Aging and Accessibility Through an IVR Blogging System. Proc. ACM Hum.-Comput. Interact. 1, CSCW (dec 2017), 26:1----26:17. https://doi.org/10.1145/3139354Google ScholarDigital Library
- Michael H. Cohen, James P. Giangola, and Jennifer Balogh. 2004. Voice User Interface Design. Addison-Wesley, Boston.Google ScholarDigital Library
- Aurora Constantin, Catherine Lai, Elaine Farrow, Beatrice Alex, Ruth Pel-Littel, Henk Herman Nap, and Johan Jeuring. 2019. "Why is the Doctor a Man": Reactions of Older Adults to a Virtual Training Doctor. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (CHIEA '19). ACM, New York, NY, USA, LBW1719:1----LBW1719:6. https://doi.org/10.1145/3290607.3312811Google ScholarDigital Library
- Wan He, Daniel Goodkind, and Paul Kowal. 2016. An Aging World: 2015 International Population Reports. Aging March (2016), 165. https://doi.org/P95/09-1Google Scholar
- Adineh Hosseinpanah, Nicole C Krämer, and Carolin Stra\ssmann. 2018. Empathy for Everyone?: The Effect of Age When Evaluating a Virtual Agent. In Proceedings of the 6th International Conference on Human-Agent Interaction (HAI '18). ACM, New York, NY, USA, 184--190. https://doi.org/10.1145/3284432.3284442Google ScholarDigital Library
- Jack Sidnell Tanya Stivers. 2012. The Handbook of Conversation Analysis. John Wiley & Sons, Ltd, Chichester, UK. https://doi.org/10.1002/9781118325001Google Scholar
- Jaros\law Kowalski, Anna Jaskulska, Kinga Skorupska, Katarzyna Abramczuk, Cezary Biele, Wies\law Kopeć, and Krzysztof Marasek. 2019. Older Adults and Voice Interaction: A Pilot Study with Google Home. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (CHIEA '19). ACM, New York, NY, USA, LBW0187:1----LBW0187:6. https://doi.org/10.1145/3290607.3312973Google ScholarDigital Library
- Eun Ju Lee, Clifford Nass, and Scott Brave. 2000. Can Computer-generated Speech Have Gender?: An Experimental Test of Gender Stereotype. In CHI '00 Extended Abstracts on Human Factors in Computing Systems (CHIEA '00). ACM, New York, NY, USA, 289--290. https://doi.org/10.1145/633292.633461Google ScholarDigital Library
- John Lyons. 1991. Natural Language and Universal Grammar: Essays in Linguistic Theory. Vol. 1. Cambridge University Press. https://doi.org/10.1017/CBO9781139165877Google Scholar
- Siddharth Mehrotra, Vivian Genaro Motti, Helena Frijns, Tugce Akkoc, Sena Bü\csra Yengeç, Oguz Calik, Marieke M M Peeters, and Mark A Neerincx. 2016. Embodied Conversational Interfaces for the Elderly User. In Proceedings of the 8th Indian Conference on Human Computer Interaction (IHCI '16). ACM, New York, NY, USA, 90--95. https://doi.org/10.1145/3014362.3014372Google ScholarDigital Library
- David Moher. 2009. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. Annals of Internal Medicine 151, 4 (2009), 264. https://doi.org/10.7326/0003-4819-151-4-200908180-00135Google ScholarCross Ref
- Christiane Opfermann, Karola Pitsch, Ramin Yaghoubzadeh, and Stefan Kopp. 2017. The Communicative Activity of âĂIJMaking SuggestionsâĂİ as an Interactional Process: Towards a Dialog Model for HAI. In Proceedings of the 5th International Conference on Human Agent Interaction (HAI '17). Association for Computing Machinery, New York, NY, USA, 161--170. https://doi.org/10.1145/3125739.3125752Google ScholarDigital Library
- Lingyun Qiu and Izak Benbasat. 2005. Online Consumer Trust and Live Help Interfaces: The Effects of Text-to-Speech Voice and Three-Dimensional Avatars. International Journal of HumanâĂŞComputer Interaction 19, 1 (2005), 75--94. https://doi.org/10.1207/s15327590ijhc1901_6Google ScholarCross Ref
- 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). ACM, New York, NY, USA, 52:1----52:2. https://doi.org/10.1145/2504335.2504391Google ScholarDigital Library
- Candace L Sidner, Timothy Bickmore, Bahador Nooraie, Charles Rich, Lazlo Ring, Mahni Shayganfar, and Laura Vardoulakis. 2018. Creating New Technologies for Companionable Agents to Support Isolated Older Adults. ACM Trans. Interact. Intell. Syst. 8, 3 (jul 2018), 17:1----17:27. https://doi.org/10.1145/3213050Google ScholarDigital Library
- Jaisie Sin and Cosmin Munteanu. 2019. A Preliminary Investigation of the Role of Anthropomorphism in Designing Telehealth Bots for Older Adults. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (CHIEA '19). ACM, New York, NY, USA, LBW1820:1--LBW1820:6. https://doi.org/10.1145/3290607.3312941Google ScholarDigital Library
- Anjeli Singh, Andrea Johnson, Hanan Alnizami, and Juan E Gilbert. 2011. The Potential Benefits of Multi_modal Social Interaction on the Web for Senior Users. J. Comput. Sci. Coll. 27, 2 (dec 2011), 135--141. https://doi.org/10.5555/2038836.2038856Google ScholarDigital Library
- Nirmalya Thakur and Chia Y Han. 2018. An Approach to Analyze the Social Acceptance of Virtual Assistants by Elderly People. In Proceedings of the 8th International Conference on the Internet of Things (IOT '18). Association for Computing Machinery, New York, NY, USA, 1--6. https://doi.org/10.1145/3277593.3277616Google ScholarDigital Library
- Christiana Tsiourti, Emilie Joly, Cindy Wings, Maher Ben Moussa, and Katarzyna Wac. 2014. Virtual Assistive Companions for Older Adults: Qualitative Field Study and Design Implications. In Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth '14). ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), ICST, Brussels, Belgium, Belgium, 57--64. https://doi.org/10.4108/icst.pervasivehealth.2014.254943Google ScholarDigital Library
- Michel Vacher, Sybille Caffiau, François Portet, Brigitte Meillon, Camille Roux, Elena Elias, Benjamin Lecouteux, and Pedro Chahuara. 2015. Evaluation of a Context-Aware Voice Interface for Ambient Assisted Living: Qualitative User Study vs. Quantitative System Evaluation. ACM Trans. Access. Comput. 7, 2 (may 2015), 5:1----5:36. https://doi.org/10.1145/2738047Google ScholarDigital Library
- Toshiki Yamanaka, Yutaka Takase, and Yukiko I Nakano. 2016. Assessing the Communication Attitude of the Elderly Using Prosodic Information and Head Motions. In The Eleventh ACM/IEEE International Conference on Human Robot Interaction (HRI '16). IEEE Press, Piscataway, NJ, USA, 539--540. https://doi.org/10.5555/2906831.2906966Google ScholarDigital Library
- 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 (CHIEA '18). ACM, New York, NY, USA, LBW591:1----LBW591:6. https://doi.org/10.1145/3170427.3188575Google ScholarDigital Library
Index Terms
- Older Adults' Perception and Use of Voice User Interfaces: A Preliminary Review of the Computing Literature
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