Abstract
The prevalence of visual impairment increases with age and has become a big threat that causes elders’ depression and social isolation. While digital technology is believed to be a solution for social inclusion, the challenge is that visually impaired elders (VIEs hereafter) lack the visual capability to use digital products. Thanks to the innovation of AI voice technology, VIEs are able to connect to the digital world with their speaking and hearing functions. Drawing on the framework of technology affordance, this paper is among the first to examine the effect of AI voice technology on VIEs’ psychological well-being. Our findings show that VIEs recognize functional affordance (i.e., human-likeness, interactivity, personalization and sourceness) and emotional attachment (i.e., flow state, intimacy, companionship, and trust) in their using of AI voice technology. Results also reveal a virtuous cycle between functional affordance and emotional attachment. More importantly, functional affordance and emotional attachment are found to positively influence VIEs’ psychological well-being. The findings not only have theoretical implications but inform the design of AI voice technology to tailor VIEs’ needs.
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World population ageing 2009: United Nations, New York (2010)
Friemel, T.N.: The digital divide has grown old: Determinants of a digital divide among seniors. New Media Soc. 18(2), 313–331 (2016)
Tecent Technology: Over 61 million elderly users on WeChat, the elderly also live a smart life. https://tech.qq.com/a/20181016/013129.htm. Accessed 30 Dec 2019
Sohu News. Playing Games is not for young people. More than 40 million elderly players over the age of 50 in the United States. https://www.sohu.com/a/81181091_352928. Accessed 17 Jan 2020
Adams, N., Stubbs, D., et al.: Psychological barriers to Internet usage among older adults in the UK. Med. Inform. Internet Med. 30(1), 3–17 (2005)
Wang, X., Gu, J., Hu, A., Ling, H.: Impact of online social media communication and offline geographical distance on elder users’ intergenerational isolation: from technology affordance perspective. In: Zhou, J., Salvendy, G. (eds.) ITAP 2018. LNCS, vol. 10926, pp. 547–559. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-92034-4_41
Wang, X., Yao, X., Gu, J.: Attraction and addiction factors of online games on older adults: a qualitative study. In: Zhou, J., Salvendy, G. (eds.) HCII 2019. LNCS, vol. 11593, pp. 256–266. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22015-0_20
World Health Organization: Blindness and vision impairment. https://www.who.int/news-room/fact-sheets/detail/blindness-and-visual-impairment#targetText=Globally%2C%20it%20is%20estimated%20that,people%20are%20blind%20(1). Accessed 28 Jan 2020
Pinquart, M., Pfeiffer, J.P.: Psychological well-being in visually impaired and unimpaired individuals: a meta-analysis. Br. J. Visual Impairment 29(1), 27–45 (2011)
IFeng: Artificial intelligence voice speaker becomes necessary for the elderly. http://kr.ifeng.com/a/20181009/6932192_0.shtml. Accessed 18 Jan 2020
Sohu News: Finally I don’t have to worry about my kids being unaccompanied at home!. http://www.sohu.com/a/309644691_469307. Accessed 18 Jan 2020
OECD: Understanding the Digital Divide. OECD Digital Economy Papers, no. 49. OECD Publishing, Paris (2001). https://doi.org/10.1787/236405667766
Wei, K.K., Teo, H.H., Chan, H.C., Tan, B.C.: Conceptualizing and testing a social cognitive model of the digital divide. Inf. Syst. Res. 22(1), 170–187 (2011)
Chen, Y.R.R., Schulz, P.J.: The effect of information communication technology interventions on reducing social isolation in the elderly: a systematic review. J. Med. Internet Res. 18(1), 1–11 (2016)
Chopik, W.J.: The benefits of social technology use among older adults are mediated by reduced loneliness. Cyberpsychology Behav. Soc. Networking 19(9), 551–556 (2016)
Hage, E., et al.: The dual impact of online communication on older adults’ social connectivity. Inf. Technol. People 29(1), 31–50 (2016)
Royal National Institute of Blind People: How technology can help older people with sight issues. https://www.abilitynet.org.uk/news-blogs/how-technology-can-help-older-people-sight-issues. Accessed 28 Jan 2020
Cimarolli, V.R., Boerner, K.: Social support and well-being in adults who are visually impaired. J. Vis. Impairment Blindness 99(9), 521–534 (2005)
Kef, S., Hox, J.J., Habekothe, H.T.: Social networks of visually impaired and blind adolescents. Structure and effect on well-being. Soc. Networks 22(1), 73–91 (2000)
Bloomfield, B.P., Latham, Y., Vurdubakis, T.: Bodies, technologies and action possibilities: when is an affordance? Sociology 44(3), 415–433 (2010)
Sundar, S.S. The MAIN Model: A Heuristic Approach to Understanding Technology Effects on Credibility, pp. 73–100. MacArthur Foundation Digital Media and Learning Initiative (2008)
Bell, G., Brooke, T., Churchill, E., & Paulos, E.: Intimate ubiquitous computing. In: Proceedings UbiComp Workshop, pp. 3–6 (2003)
Ryff, C.D.: Psychological well-being revisited: advances in the science and practice of eudaimonia. Psychother. Psychosom. 83(1), 10–28 (2014)
Yao, X., Wang, X., Gu, J., Zhao, Y.C.A.: A qualitative investigation on miscommunication of everyday health information between older parents and adult children. In: Zhou, J., Salvendy, G. (eds.) HCII 2019. LNCS, vol. 11593, pp. 109–121. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22015-0_9
Magsamen-Conrad, K., Upadhyaya, S., Joa, C.Y., Dowd, J.: Bridging the divide: using UTAUT to predict multigenerational tablet adoption practices. Comput. Hum. Behav. 50, 186–196 (2015)
Baird, A., Jørgensen, S.H., Parada-Cabaleiro, E., Cummins, N., Hantke, S., Schuller, B.: The perception of vocal traits in synthesized voices: age, gender, and human likeness. J. Audio Eng. Soc. 66(4), 277–285 (2018)
Fink, J.: Anthropomorphism and human likeness in the design of robots and human-robot interaction. In: Ge, S.S., Khatib, O., Cabibihan, J.-J., Simmons, R., Williams, M.-A. (eds.) ICSR 2012. LNCS (LNAI), vol. 7621, pp. 199–208. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-34103-8_20
Sundar, S.S., Marathe, S.S.: Personalization versus customization: the importance of agency, privacy, and power usage. Hum. Commun. Res. 36(3), 298–322 (2010)
Bickmore, T., Picard, R.: Establishing and maintaining long-term human–computer relationships. ACM Trans. Comput. Hum. Interact. 12(2), 293–327 (2005)
Bickmore, T.W., Caruso, L., Clough-Gorr, K., Heeren, T.: It’s just like you talk to a friend relational agents for older adults. Interact. Comput. 17(6), 711–735 (2005)
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Gu, J., Wang, X., Yao, X., Hu, A. (2020). Understanding the Influence of AI Voice Technology on Visually Impaired Elders’ Psychological Well-Being: An Affordance Perspective. In: Gao, Q., Zhou, J. (eds) Human Aspects of IT for the Aged Population. Technology and Society. HCII 2020. Lecture Notes in Computer Science(), vol 12209. Springer, Cham. https://doi.org/10.1007/978-3-030-50232-4_16
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