Sunyoung Kim
Krzysztof Z. Gajos
ABSTRACT
Mobile technologies offer the potential for enhanced healthcare, especially by supporting self-management of chronic care. For these technologies to impact chronic care, they need to work for older adults, because the majority of people with chronic conditions are older. A major challenge remains: integrating the appropriate use of such technologies into the lives of older adults. We investigated how older adults would accept mobile technologies by interviewing two groups of older adults (technology adopters and non-adopters who aged 60+) about their experiences and perspectives to mobile technologies. Our preliminary results indicate that there is an additional phase, the intention to learn, and three relating factors, self-efficacy, conversion readiness, and peer support, that significantly influence the acceptance of mobile technologies among the participants, but are not represented in the existing models. With these findings, we propose a tentative theoretical model that extends the existing theories to explain the ways in which our participants came to accept mobile technologies. Future work should investigate the validity of the proposed model by testing our findings against younger people.
- Icek Ajzen. 1985. From intentions to actions: A theory of planned behavior. Springer.Google Scholar
- Icek Ajzen. 1991. The theory of planned behavior. Organizational behavior and human decision processes 50, 2 (1991), 179--211.Google Scholar
- M. Anderson. 2015. The demographics of device ownership. Pew Research Center: Washington DC (2015).Google Scholar
- 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 (TACCESS) 8, 2 (2016), 6. Google ScholarDigital Library
- Luca Buccoliero and Elena Bellio. 2014. The adoption of silver e-Health technologies: first hints on technology acceptance factors for elderly in Italy. In Proceedings of the 8th International Conference on Theory and Practice of Electronic Governance. ACM, 304--307. Google ScholarDigital Library
- Emil Chiauzzi, Carlos Rodarte, and Pronabesh DasMahapatra. 2015. Patient-centered activity monitoring in the self-management of chronic health conditions. BMC medicine 13, 1 (2015), 77.Google Scholar
- Miha Cimperman, Maja Makovec Brenčič, Peter Trkman, and Mateja de Leonni Stanonik. 2013. Older adults' perceptions of home telehealth services. Telemedicine and e-Health 19, 10 (2013), 786--790.Google ScholarCross Ref
- Adele Clarke. 2005. Situational analysis: Grounded theory after the postmodern turn. Sage.Google Scholar
- Mario Conci, Fabio Pianesi, and Massimo Zancanaro. 2009. Useful, social and enjoyable: Mobile phone adoption by older people. In Human-Computer Interaction--INTERACT 2009. Springer, 63--76. Google ScholarDigital Library
- Fred D. Davis. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly (1989), 319--340. Google ScholarDigital Library
- Anna Dickinson, Alan F. Newell, Michael J. Smith, and Robin L. Hill. 2005. Introducing the Internet to the over-60s: Developing an email system for older novice computer users. Interacting with Computers 17, 6 (2005), 621--642. Google ScholarDigital Library
- Arthur D. Fisk, Wendy A. Rogers, Neil Charness, Sara J. Czaja, and Joseph Sharit. 2009. Designing for older adults: Principles and creative human factors approaches. CRC press.Google Scholar
- Helene Gelderblom, Tobie van Dyk, and Judy van Biljon. 2010. Mobile phone adoption: Do existing models adequately capture the actual usage of older adults?. In Proceedings of the 2010 annual research conference of the south african institute of computer scientists and information technologists. ACM, 67--74. Google ScholarDigital Library
- Nancy M. Gell, Dori E. Rosenberg, George Demiris, Andrea Z. LaCroix, and Kushang V. Patel. 2013. Patterns of technology use among older adults with and without disabilities. The Gerontologist (2013), gnt166.Google Scholar
- Mary C. Gilly and Valarie A. Zeithaml. 1985. The elderly consumer and adoption of technologies. Journal of consumer research (1985), 353--357.Google Scholar
- Mark S. Granovetter. 1973. The strength of weak ties. American journal of sociology (1973), 1360--1380.Google Scholar
- Vicki L. Hanson. 2011. Technology skill and age: what will be the same 20 years from now? Universal Access in the Information Society 10, 4 (2011), 443--452. Google ScholarDigital Library
- Zhao Xia Jin, Tom Plocher, and Liana Kiff. 2007. Touch screen user interfaces for older adults: button size and spacing. In Universal acess in human computer interaction. coping with diversity. Springer, 933--941. Google ScholarDigital Library
- Sri Kurniawan. 2008. Older people and mobile phones: A multi-method investigation. International Journal of Human-Computer Studies 66, 12 (2008), 889--901. Google ScholarDigital Library
- Chaiwoo Lee and Joseph F. Coughlin. 2014. PERSPECTIVE: Older Adults' Adoption of Technology: An Integrated Approach to Identifying Determinants and Barriers. Journal of Product Innovation Management (2014).Google Scholar
- Carolyn S. Malchodi, Cheryl Oncken, Ellen A Dornelas, Laura Caramanica, Elizabeth Gregonis, and Stephen L. Curry. 2003. The effects of peer counseling on smoking cessation and reduction. Obstetrics & Gynecology 101, 3 (2003), 504--510.Google Scholar
- Matthew B. Miles and A. Michael Huberman. 1994. Qualitative data analysis: An expanded sourcebook. Sage.Google Scholar
- Tracy L. Mitzner, Wendy A. Rogers, Arthur D. Fisk, Walter R. Boot, Neil Charness, Sara J. Czaja, and Joseph Sharit. 2014. Predicting older adults' perceptions about a computer system designed for seniors. Universal Access in the Information Society (2014), 1--10. Google ScholarDigital Library
- Michael G. Morris and Viswanath Venkatesh. 2000. Age differences in technology adoption decisions: Implications for a changing work force. Personnel psychology 53, 2 (2000), 375--403.Google Scholar
- H. H. Nap and H. P. de Greef. 2010. Self-efficacy & stress in senior computer interaction. In Proceedings of the 28th Annual European Conference on Cognitive Ergonomics. ACM, 227--230. Google ScholarDigital Library
- Björn Niehaves and Ralf Plattfaut. 2014. Internet adoption by the elderly: employing IS technology acceptance theories for understanding the age-related digital divide. European Journal of Information Systems 23, 6 (2014), 708--726.Google ScholarCross Ref
- Chee Wei Phang, Juliana Sutanto, Atreyi Kankanhalli, Yan Li, Bernard CY Tan, and Hock-Hai Teo. 2006. Senior citizens' acceptance of information systems: A study in the context of e-government services. Engineering Management, IEEE Transactions on 53, 4 (2006), 555--569.Google ScholarCross Ref
- Karen Renaud and Judy Van Biljon. 2008. Predicting technology acceptance and adoption by the elderly: a qualitative study. In Proceedings of the 2008 annual research conference of the South African Institute of Computer Scientists and Information Technologists on IT research in developing countries: riding the wave of technology. ACM, 210--219. Google ScholarDigital Library
- Toni Robertson, Tuck W. Leong, Jeannette Durick, and Treffyn Koreshoff. 2014. Mutual learning as a resource for research design. In Proceedings of the 13th Participatory Design Conference: Short Papers, Industry Cases, Workshop Descriptions, Doctoral Consortium papers, and Keynote abstracts-Volume 2. ACM, 25--28. Google ScholarDigital Library
- Mary E. Sesto, Curtis B. Irwin, Karen B. Chen, Amrish O. Chourasia, and Douglas A. Wiegmann. 2012. Effect of touch screen button size and spacing on touch characteristics of users with and without disabilities. Human Factors: The Journal of the Human Factors and Ergonomics Society 54, 3 (2012), 425--436.Google ScholarCross Ref
- Aaron Smith. 2015. US smartphone use in 2015. http://www.pewinternet.org/2015/04/01/chapter-one-a-portrait-of-smartphone-ownership/, Pew Research Center (2015), 18--29.Google Scholar
- Janan Al-Awar Smither and Curt C. Braun. 1994. Technology and older adults: Factors affecting the adoption of automatic teller machines. The Journal of General Psychology 121, 4 (1994), 381--389.Google ScholarCross Ref
- Anselm Strauss and Juliet Corbin. 1994. Grounded theory methodology. Handbook of qualitative research (1994), 273--285.Google Scholar
- Hironobu Takagi, Akihiro Kosugi, Tatsuya Ishihara, and Kentarou Fukuda. 2014. Remote IT education for senior citizens. In Proceedings of the 11th Web for All Conference. ACM, 41. Google ScholarDigital Library
- Keith J. Topping. 2005. Trends in peer learning. Educational psychology 25, 6 (2005), 631--645.Google Scholar
- Phil Turner, Susan Turner, and Guy Van de Walle. 2007. How older people account for their experiences with interactive technology. Behaviour & Information Technology 26, 4 (2007), 287--296. Google ScholarDigital Library
- Viswanath Venkatesh, Michael G. Morris, Gordon B. Davis, and Fred D. Davis. 2003. User acceptance of information technology: Toward a unified view. MIS quarterly (2003), 425--478. Google ScholarDigital Library
- Kerryellen G. Vroman, Sajay Arthanat, and Catherine Lysack. 2015. "Who over 65 is online?" Older adults' dispositions toward information communication technology. Computers in Human Behavior 43 (2015), 156--166. Google ScholarDigital Library
- Wiktoria Wilkowska and Martina Ziefle. 2009. Which factors form older adults' acceptance of mobile information and communication technologies? Springer.Google Scholar
- Yurong Yao and Lisa Murphy. 2007. Remote electronic voting systems: an exploration of voters' perceptions and intention to use. European Journal of Information Systems 16, 2 (2007), 106--120.Google ScholarCross Ref
- Valarie A. Zeithaml and William L. Fuerst. 1983. Age differences in response to grocery store price information. Journal of consumer affairs 17, 2 (1983), 402--420.Google ScholarCross Ref
Index Terms
- Acceptance of mobile technology by older adults: a preliminary study
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