Nothing Special   »   [go: up one dir, main page]

skip to main content
research-article

Examining Voice Community Use

Published: 05 February 2024 Publication History

Abstract

Visual online communities can present accessibility challenges to older adults or people with vision and motor disabilities. Motivated by this challenge, accessibility and HCI researchers have called for voice-based communities to support aging and disability. This paper extends prior work on voice community design and short-term use by providing empirical data on how people interact with voice communities over time and intentional instances of non-use. We conducted a one-year study with 43 blind and low vision older adults, of whom 21 used a voice-based community. We use vignettes to unpack five different voice community member roles - the obligatory poster, routine poster, cross-platform lurker, busy socialite, and visual expertise seeker - and discuss community interactions over time. Findings show how participation varied based on engagement in other communities and ways that participants sought interaction. We discuss (1) how to design voice communities for member roles and (2) the implications of synchronous and asynchronous voice community interaction in voice-only communities.

References

[1]
Dawn Alley, Phoebe Liebig, Jon Pynoos, Tridib Banerjee, and In Hee Choi. 2007. Creating elder-friendly communities: Preparations for an aging society. Journal of Gerontological Social Work 49, 1–2 (2007), 1–18.
[2]
Monica Anderson and Andrew Perrin. 2017. Technology use among seniors. Washington, DC: Pew Research Center for Internet & Technology (2017).
[3]
Judd Antin and Coye Cheshire. 2010. Readers are not free-riders: Reading as a form of participation on Wikipedia. In Proceedings of the 2010 ACM Conference on Computer Supported Cooperative Work (Savannah, Georgia, USA) (CSCW’10). Association for Computing Machinery, New York, NY, USA, 127–130.
[4]
Paul M. A. Baker, John C. Bricout, Nathan W. Moon, Barry Coughlan, and Jessica Pater. 2013. Communities of participation: A comparison of disability and aging identified groups on Facebook and LinkedIn. Telematics and Informatics 30, 1 (2013), 22–34.
[5]
T. Basu. 2021. The future of social networks might be audio.
[6]
Anja Bechmann and Stine Lomborg. 2013. Mapping actor roles in social media: Different perspectives on value creation in theories of user participation. New Media & Society 15, 5 (2013), 765–781.
[7]
Natilene Bowker and Keith Tuffin. 2002. Disability discourses for online identities. Disability & Society 17, 3 (2002), 327–344.
[8]
Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative Research in Psychology 3, 2 (2006), 77–101.
[9]
Virginia Braun and Victoria Clarke. 2019. Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health 11, 4 (2019), 589–597.
[10]
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 Trans. Access. Comput. 8, 2, Article 6 (Jan. 2016), 20 pages.
[11]
Robin Brewer, Casey Pierce, Pooja Upadhyay, and Leeseul Park. 2022. An empirical study of older adult’s voice assistant use for health information seeking. 12, 2, Article 13 (Jul. 2022), 32 pages.
[12]
Robin N. Brewer and Anne Marie Piper. 2017. xPress: Rethinking design for aging and accessibility through an IVR blogging system. Proceedings of the ACM on Human-Computer Interaction 1, CSCW (2017), 1–17.
[13]
Robin N. Brewer, Sarita Schoenebeck, Kerry Lee, and Haripriya Suryadevara. 2021. Challenging passive social media use: Older adults as caregivers online. Proceedings of the ACM on Human-Computer Interaction 5, CSCW1 (2021), 1–20.
[14]
Moira Burke, Cameron Marlow, and Thomas Lento. 2010. Social network activity and social well-being. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Atlanta, Georgia, USA) (CHI’10). Association for Computing Machinery, New York, NY, USA, 1909–1912.
[15]
Laura Caroleo and Giuseppe Maiello. 2022. Understanding polarization effects on voice-based social media: A clubhouse analysis \(^1\). Italian Sociological Review 12, 7S (2022), 749–770.
[16]
Sheldon Cohen, Robin Mermelstein, Tom Kamarck, and Harry M. Hoberman. 1985. Measuring the functional components of social support. In Social Support: Theory, Research and Applications. Springer, 73–94.
[17]
Michela Del Vicario, Alessandro Bessi, Fabiana Zollo, Fabio Petroni, Antonio Scala, Guido Caldarelli, H. Eugene Stanley, and Walter Quattrociocchi. 2016. The spreading of misinformation online. Proceedings of the National Academy of Sciences 113, 3 (2016), 554–559.
[18]
Kerry Dobransky and Eszter Hargittai. 2006. The disability divide in internet access and use. Information, Communication & Society 9, 3 (2006), 313–334.
[19]
Noella Edelmann. 2013. Reviewing the definitions of “lurkers” and some implications for online research. Cyberpsychology, Behavior, and Social Networking 16, 9 (2013), 645–649.
[20]
Nicole B. Ellison, Penny Triu, Sarita Schoenebeck, Robin Brewer, and Aarti Israni. 2020. Why we don’t click: Interrogating the relationship between viewing and clicking in social media contexts by exploring the “non-click”. Journal of Computer-Mediated Communication 25, 6 (2020), 402–426.
[21]
Mary Elizabeth Hughes, Linda J. Waite, Louise C. Hawkley, and John T. Cacioppo. 2004. A short scale for measuring loneliness in large surveys: Results from two population-based studies. Research on Aging 26, 6 (2004), 655–672.
[22]
Sohyeon Hwang and Jeremy D. Foote. 2021. Why do people participate in small online communities? Proc. ACM Hum.-Comput. Interact. 5, CSCW2, Article 462 (Oct. 2021), 25 pages.
[23]
Kyuha Jung, Yoobin Park, Hanwool Kim, and Joonhwan Lee. 2022. Let’s talk @clubhouse: Exploring voice-centered social media platform and its opportunities, challenges, and design guidelines. In Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI EA’22). Association for Computing Machinery, New York, NY, USA, Article 450, 6 pages.
[24]
Ines Kožuh, Anja Poznič, and Matjaž Debevc. 2016. A content analysis of online communities for the deaf and hard of hearing. In Proceedings of the 7th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-Exclusion (Vila Real, Portugal) (DSAI 2016). Association for Computing Machinery, New York, NY, USA, 370–377.
[25]
Rachel Kowert and Emory Daniel Jr. 2021. The one-and-a-half sided parasocial relationship: The curious case of live streaming. Computers in Human Behavior Reports 4 (2021), 100150.
[26]
Ecosse L. Lamoureux, Julie F. Pallant, Konrad Pesudovs, Alan Tennant, Gwyn Rees, Patricia M. O’Connor, and Jill E. Keeffe. 2008. Assessing participation in daily living and the effectiveness of rehabiliation in age related macular degeneration patients using the impact of vision impairment scale. Ophthalmic Epidemiology 15, 2 (2008), 105–113.
[27]
Cliff A. C. Lampe, Nicole Ellison, and Charles Steinfield. 2007. A familiar Face(book): Profile elements as signals in an online social network. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (San Jose, California, USA) (CHI’07). Association for Computing Machinery, New York, NY, USA, 435–444.
[28]
James S. Larson. 1993. The measurement of social well-being. Social Indicators Research (1993), 285–296.
[29]
Zhicong Lu, Michelle Annett, Mingming Fan, and Daniel Wigdor. 2019. “I feel it is my responsibility to stream”: Streaming and engaging with intangible cultural heritage through livestreaming. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland UK) (CHI’19). Association for Computing Machinery, New York, NY, USA, 1–14.
[30]
Anna-Karin Magnusson. 2006. Nonverbal conversation-regulating signals of the blind adult. Communication Studies 57, 4 (2006), 421–433.
[31]
Aqueasha Martin-Hammond, Sravani Vemireddy, and Kartik Rao. 2019. Exploring older adults’ beliefs about the use of intelligent assistants for consumer health information management: A participatory design study. JMIR Aging 2, 2 (2019), e15381.
[32]
Engineering National Academies of Sciences and Medicine. 2020. Social Isolation and Loneliness in Older Adults: Opportunities for the Health Care System. National Academies Press.
[33]
Ruth Naughton-Doe, Jenny Barke, Helen Manchester, Paul Willis, and Andrea Wigfield. 2022. Ethical issues when interviewing older people about loneliness: Reflections and recommendations for an effective methodological approach. Ageing & Society (2022), 1–19.
[34]
Shuo Niu, Ava Bartolome, Cat Mai, and Nguyen Binh Ha. 2021. #StayHome #WithMe: How do YouTubers help with COVID-19 loneliness?. 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 338, 15 pages.
[35]
Patricia Obst and Jana Stafurik. 2010. Online we are all able bodied: Online psychological sense of community and social support found through membership of disability-specific websites promotes well-being for people living with a physical disability. Journal of Community & Applied Social Psychology 20, 6 (2010), 525–531.
[36]
Neil Patel, Deepti Chittamuru, Anupam Jain, Paresh Dave, and Tapan S. Parikh. 2010. Avaaj Otalo: A field study of an interactive voice forum for small farmers in rural india. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 733–742.
[37]
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.
[38]
Alisha Pradhan, Amanda Lazar, and Leah Findlater. 2020. Use of intelligent voice assistants by older adults with low technology use. 27, 4, Article 31 (Sep. 2020), 27 pages.
[39]
Alisha Pradhan, Kanika Mehta, and Leah Findlater. 2018. “Accessibility came by accident”: Use of voice-controlled intelligent personal assistants by people with disabilities(CHI’18). Association for Computing Machinery, New York, NY, USA, 1–13.
[40]
Maria-Eugenia Prieto-Flores, Maria João Forjaz, Gloria Fernandez-Mayoralas, Fermina Rojo-Perez, and Pablo Martinez-Martin. 2011. Factors associated with loneliness of noninstitutionalized and institutionalized older adults. Journal of Aging and Health 23, 1 (2011), 177–194.
[41]
Damian Radcliffe. 2021. Audio chatrooms like clubhouse have become the hot new media by tapping into the age-old appeal of the human voice. The Conversation (2021).
[42]
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 (Montreal QC, Canada) (CHI’18). Association for Computing Machinery, New York, NY, USA, 1–12.
[43]
Christoph Riedl, Felix Köbler, Suparna Goswami, and Helmut Krcmar. 2013. Tweeting to feel connected: A model for social connectedness in online social networks. International Journal of Human-Computer Interaction 29, 10 (2013), 670–687.
[44]
Ethan Z. Rong, Mo Morgana Zhou, Zhicong Lu, and Mingming Fan. 2022. “It feels like being locked in a cage”: Understanding blind or low vision streamers’ perceptions of content curation algorithms. In Designing Interactive Systems Conference (Virtual Event, Australia) (DIS’22). Association for Computing Machinery, New York, NY, USA, 571–585.
[45]
Dan Russell, Letitia Anne Peplau, and Mary Lund Ferguson. 1978. Developing a measure of loneliness. Journal of Personality Assessment 42, 3 (1978), 290–294.
[46]
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. 1–3.
[47]
Rebecca I. B. Schnittger, Joseph Wherton, David Prendergast, and Brian A. Lawlor. 2012. Risk factors and mediating pathways of loneliness and social support in community-dwelling older adults. Aging & Mental Health 16, 3 (2012), 335–346.
[48]
Ellen Simpson and Bryan Semaan. 2021. For you, or for “you”? Everyday LGBTQ+ encounters with TikTok. Proc. ACM Hum.-Comput. Interact. 4, CSCW3, Article 252 (Jan. 2021), 34 pages.
[49]
Sarit Felicia Anais Szpiro, Shafeka Hashash, Yuhang Zhao, and Shiri Azenkot. 2016. How people with low vision access computing devices: Understanding challenges and opportunities. In Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility (Reno, Nevada, USA) (ASSETS’16). Association for Computing Machinery, New York, NY, USA, 171–180.
[50]
John C. Tang, Gina Venolia, and Kori M. Inkpen. 2016. Meerkat and periscope: I stream, you stream, apps stream for live streams. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. 4770–4780.
[51]
Kentaro Toyama. 2015. Geek Heresy: Rescuing Social Change from the Cult of Technology. PublicAffairs.
[52]
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.
[53]
[54]
Aditya Vashistha, Edward Cutrell, Gaetano Borriello, and William Thies. 2015. Sangeet Swara: A community-moderated voice forum in rural India. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (Seoul, Republic of Korea) (CHI’15). Association for Computing Machinery, New York, NY, USA, 417–426.
[55]
Andrew J. Vickers and Douglas G. Altman. 2001. Analysing controlled trials with baseline and follow up measurements. BMJ 323, 7321 (2001), 1123–1124.
[56]
Greg Wadley, Marcus Carter, and Martin Gibbs. 2015. Voice in virtual worlds: The design, use, and influence of voice chat in online play. Human–Computer Interaction 30, 3–4 (2015), 336–365.
[57]
Bei Wu. 2020. Social isolation and loneliness among older adults in the context of COVID-19: A global challenge. Global Health Research and Policy 5, 1 (2020), 1–3.
[58]
Lotus Zhang, Lucy Jiang, Nicole Washington, Augustina Ao Liu, Jingyao Shao, Adam Fourney, Meredith Ringel Morris, and Leah Findlater. 2021. Social media through voice: Synthesized voice qualities and self-presentation. Proc. ACM Hum.-Comput. Interact. 5, CSCW1, Article 161 (Apr. 2021), 21 pages.

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Transactions on Computer-Human Interaction
ACM Transactions on Computer-Human Interaction  Volume 31, Issue 2
April 2024
576 pages
EISSN:1557-7325
DOI:10.1145/3613620
Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 February 2024
Online AM: 13 December 2023
Accepted: 13 October 2023
Revised: 24 August 2023
Received: 16 February 2023
Published in TOCHI Volume 31, Issue 2

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. IVR systems
  2. voice community
  3. older adults
  4. aging
  5. blind and low vision
  6. disability

Qualifiers

  • Research-article

Funding Sources

  • Retirement Research Foundation - Award

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 339
    Total Downloads
  • Downloads (Last 12 months)339
  • Downloads (Last 6 weeks)34
Reflects downloads up to 19 Nov 2024

Other Metrics

Citations

View Options

Login options

Full Access

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Full Text

View this article in Full Text.

Full Text

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media