Older adults use of smart phones: An investigation of the factors influencing the acceptance of new functions

Behaviour and Information Technology

Volumn 33, Issue 6, 2014, Pages 552-560

  Zhou, Jia ^a   Rau, Pei Luen Patrick ^a   Salvendy, Gavriel ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

acceptance; functions; mobile phones; older adults; smart phones; usability

Indexed keywords

E-LEARNING; FUNCTIONS; LINEAR REGRESSION; MOBILE DEVICES; MOBILE PHONES; SMARTPHONES;

ACCEPTANCE; FEATURE PHONES; MULTIPLE LINEAR REGRESSION ANALYSIS; NEW FUNCTIONS; OLDER ADULTS; SOCIAL INFLUENCE; USABILITY;

SURVEYS;

EID: 84899995950     PISSN: 0144929X     EISSN: 13623001     Source Type: Journal    
DOI: 10.1080/0144929X.2013.780637     Document Type: Article

References (37)

1. Arning, K. and Ziefle, M., 2006. What older users expect from mobile devices: An empirical survey. Paper presented at the 16thWorld Congress on Ergonomics (IEA 2006), Maastricht, Netherlands
2. Arning, K. and Ziefle, M., 2007a. Understanding age differences in PDA acceptance and performance. Computers in Human Behavior, 23 (6), 2904-2927
3. Arning, K. and Ziefle, M., 2007b. Barriers of information access in small screen device applications: The releVance of user characteristics for a transgenerational design. Paper presented at the 9th Conference on User Interfaces for All (ERCIM'06), Königswinter, Germany
4. Chiou, C.F., et al., 2006. Development and validation of the revised Cedars-Sinai health-related quality of life for rheumatoid arthritis instrument. Arthritis & Rheumatism-Arthritis Care & Research, 55 (6), 856-863
5. Darroch, I., et al., 2005. The effect of age and font size on reading text on handheld computers. Paper presented at the Human-Computer Interaction-INTERACT 2005, Rome, Italy
6. Davis, F.D., Bagozzi, R.P., and Warshaw, P.R., 1989. User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35 (8), 982-1003
7. Gorsuch, R.L., 1997. Exploratory factor analysis: Its role in item analysis. Journal of Personality Assessment, 68 (3), 532-560
8. Hair, J.E., et al., 1995. Multivariate data analysis: With readings. 4th ed. Upper Saddle River, NJ: Prentice-Hall, Inc
9. Hourcade, J.P. and Berkel, T.R., 2006. Tap or touch? Pen-based selection accuracy for the young and old. Paper presented at the CHI' 06 Conference on Human Factors in Computing Systems, Montreal, Canada
10. Hourcade, J.P. and Berkel, T.R., 2008. Simple pen interaction performance of young and older adults using handheld computers. Interacting with Computers, 20 (1), 166-183
11. Jastrzembski, T., 2006. The model human processor and the old adult: Validation and error extension to GOMS in a mobile phone task. Unpublished doctoral dissertation. Florida State University, Florida
12. Kahn, J.H., 2006. Factor analysis in counseling psychology research, training, and practice: Principles, adVances, and applications. Counseling Psychologist, 34 (5), 684-718
13. Kang, N.E. and Yoon, W.C., 2008. Age-And experience-related user behavior differences in the use of complicated electronic devices. International Journal of Human-Computer Studies, 66 (6), 425-437
14. Kim, H., et al., 2007. Contextual research on elderly users' needs for developing universal design mobile phone. In: C. Stephanidis, ed. Universal access in human computer interaction. Coping with diversity. Berlin: Springer, 950-959
15. Kurniawan, S., 2006. An exploratory study of how older women use mobile phones. Ubiquitous Computing, 4206, 105-122
16. Kurniawan, S., 2008. Older people and mobile phones: A multimethod investigation. International Journal of Human-Computer Studies, 66 (12), 889-901
17. Kurniawan, S., Mahmud, M., and Nugroho, Y., 2006.Astudy of the use of mobile phones by older persons. Paper presented at the Human Factors in Computing Systems, Montreal, Quebec, Canada
18. Kwon, H.S. and Chidambaram, L., 2000. A test of the technology acceptance model: The case of cellular telephone adoption. Paper presented at the 33rd Annual Hawaii International Conference on System Sciences, Maui, Hawaii
19. Kwon, T. and Moon, H., 2007. Knowledge-based user authentication associated with biometrics. In: C. Stephanidis, ed. Universal access in human computer interaction. Coping with diversity. Berlin: Springer, 414-419
20. Laetitia, F., Gyusung, L., and Natalia, D., 2008. Origins of submovements in movements of elderly adults. Journal of NeuroEngineering and Rehabilitation, 5 (1), 1-14
21. Massimi, M., Baecker, R.M., and Wu, M., 2007. Using participatory activities with seniors to critique, build, and evaluate mobile phones. Paper presented at the 9th InternationalACM SIGACCESS Conference, New York
22. Nichols, T.A., Rogers, W.A., and Fisk, A.D., 2006. Design for aging. In: G. Salvendy, ed. Handbook of human factors and ergonomics. 3rd ed. NJ: John Wiley & Sons, Inc., 1418-1445
23. Omori, M., et al., 2002. Visibility and characteristics of the mobile phones for elderly people. Behaviour & Information Technology, 21 (5), 313-316
24. Renaud, K. andVan Biljon, J., 2008. Predicting technology acceptance and adoption by the elderly: A qualitative study. Paper presented at the 2008 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists on IT Research in Developing Countries, New York
25. Smith, B., CapUti, P., and Rawstorne, P., 2007. The development of a measure of subjective computer experience. Computers in Human Behavior, 23 (1), 127-145
26. Stiggelbout, A.M., et al., 2004. Ideals of patient autonomy in clinical decision making: A study on the development of a scale to assess patients' and physicians' views. Journal of Medical Ethics, 30 (3), 268-274
27. Tuomainen, K. and Haapanen, S., 2003. Needs of the active elderly for mobile phones. In: C. Stephanidis, ed. Universal access in HCI: Inclusive design in the information society. NJ: Lawrence Erlbaum Associates, 494-498
28. Van Biljon, J. and Renaud, K., 2008. A qualitative study of the applicability of technology acceptance models to senior mobile phone users. AdVances in Conceptual Modeling-Challenges and Opportunities, 5232, 228-237
29. Venkatesh, V., et al., 2003. User acceptance of information technology: Toward a unified view. MIS Quarterly, 27 (3), 425-478
30. Wang, L., 2010. Variables contributing to old adults' acceptance of IT in China, Korea and USA. Unpublished doctoral dissertation. Tsinghua University, Beijing
31. Wright, P., et al., 2000. Text entry on handheld computers by older users. Ergonomics, 43 (6), 702-716
32. Zao, J., et al., 2008. Activity-oriented design of Health Pal: A smart phone for elders' healthcare support. EURASIP Journal on Wireless Communications and Networking, 2008, 1-10
33. Zhou, J., Rau, P.L.P., and Salvendy, G., 2012. Use and design of handheld computers for older adults: A review and appraisal. International Journal of Human-Computer Interaction, 28 (12), 799-826
34. Ziefle, M., 2010. Information presentation in small screen devices: The trade-off between visual density and menu foresight. Applied Ergonomics, 41 (6), 719-730
35. Ziefle, M. and Bay, S., 2004. Mental models of a cellular phone menu. Comparing older and younger novice users. Paper presented at the Mobile Human-Computer Interaction-Mobile HCI 2004, Glasgow
36. Ziefle, M. and Bay, S., 2005. How older adults meet complexity: Aging effects on the usability of different mobile phones. Behaviour & Information Technology, 24 (5), 375-389
37. Ziefle, M. and Bay, S., 2006. How to overcome disorientation in mobile phone menus: A comparison of two different types of navigation aids. Human Computer Interaction, 21 (4), 393-433