Skip to main content

Which Factors Form Older Adults’ Acceptance of Mobile Information and Communication Technologies?

  • Conference paper
HCI and Usability for e-Inclusion (USAB 2009)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5889))

Included in the following conference series:

Abstract

Technology acceptance has become a key concept for the successful rollout of technical devices. Though the concept is intensively studied for nearly 20 years now, still, many open questions remain. This especially applies to technology acceptance of older users, which are known to be very sensitive to suboptimal interfaces and show considerable reservations towards the usage of new technology. This study investigates long- und short-term effects on technology acceptance for a personal digital assistant (PDA) in older users. We examined the influence of users’ personal factors (computer expertise, technical self-confidence) on acceptance (long-term effects). To assess short-term effects on acceptance, PDA acceptance was measured, after participants were given a PDA tutor training and interacted with a simulated PDA. According to the findings, individual factors largely determine people’s acceptance showing that acceptance is mainly influenced by the individuals’ learning history with technology. Though, also the tutorial training significantly affected acceptance outcomes, especially in the older group.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Selwyn, N., Gorad, S., Furlong, J., Madden, L.: Older adults’ use of information and communications technology in everyday life. Ageing and Society 23(5), 561–582 (2003)

    Article  Google Scholar 

  2. Evans, G., Simkin, M.: What best predicts computer proficiency? Communications of the ACM 32, 1322–1327 (1989)

    Article  Google Scholar 

  3. Pruitt, J., Adlin, T.: The Persona Lifecycle: Keeping People in Mind throughout Product Design. Elsevier/Morgan Kaufmann, Amsterdam (2006)

    Google Scholar 

  4. Mulder, S., Yaar, Z.: The User Is Always Right: A Practical Guide to Creating and Using Personas for the Web. New Riders Press (2005)

    Google Scholar 

  5. Kuniavsky, M.: User profiles. In: Observing the User Experience: A Practitioner’s Guide to User Research, pp. 128–157. Morgan Kaufmann, San Francisco (2003)

    Google Scholar 

  6. Morrow, D., Miller, L.S., Ridolfo, H., Kokaye, N., Chang, D., Fischer, U., Stine-Morrow, E.: Expertise and aging in a pilot decision-making task. In: Proc. of the Human Factors and Ergonomics Society 48th Annual Meeting, pp. 228–232. Human Factors Society, Santa Monica (2002)

    Google Scholar 

  7. Arning, K., Ziefle, M.: Understanding age differences in PDA acceptance and performance. Computers in Human Behavior 23, 2904–2927 (2007)

    Article  Google Scholar 

  8. Arning, K., Ziefle, M.: Barriers of information access in small screen device applications: The relevance of user characteristics for a transgenerational design. In: Stephanidis, C., Pieper, M. (eds.) ERCIM Ws UI4ALL 2006. LNCS, vol. 4397, pp. 117–136. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  9. Adams, D.A., Nelson, R., Todd, P.A.: Perceived usefulness, ease of use, and usage of information technology: A replication. MIS Quarterly 16, 227–247 (1992)

    Article  Google Scholar 

  10. Wirtz, S., Jakobs, E.-M., Ziefle, M.: Age-specific issues of software interfaces. In: 9th International Conference on Work With Computer Systems, Beijing, China (2009)

    Google Scholar 

  11. Ziefle, M., Bay, S.: Transgenerational Designs in Mobile Technology. In: Lumsden, J. (ed.) Handbook of Research on User Interface Design and Evaluation for Mobile Technology, pp. 122–140. IGI Global (2008)

    Google Scholar 

  12. Pötzsch, O., Sommer, B.: Bevölkerung Deutschlands bis 2050 - Ergebnisse der 10. koordinierten Bevölkerungsvorausberechnung. Pressestelle Statistisches Bundesamt, Wiesbaden (2003)

    Google Scholar 

  13. Shiffler, G., Smulders, C., Correia, J.M., Hale, K., Hahn, W.M.: Gartner dataquest market databook (2005)

    Google Scholar 

  14. Wyeth, P., Austin, D., Szeto, H.: Designing Ambient Computing for use in the mobile healthcare domain. In: Online-Proceedings of the CHI (2001)

    Google Scholar 

  15. Leonhardt, S.: Personal Healthcare Devices. In: Mekherjee, S., et al. (eds.) Malware: Hardware Technology Drivers of Ambient Intelligence, pp. 349–370. Springer, Dordrecht (2005)

    Google Scholar 

  16. Arning, K., Ziefle, M.: What older user expect from mobile devices: An empirical survey. In: Pikaar, R.N., Konigsveld, E.A., Settels, P.J. (eds.) Proceedings of the 16th World Congress on Ergonomics (IEA). Elsevier, Amsterdam (2006)

    Google Scholar 

  17. Fisk, A.D., Rogers, W.A.: Handbook of Human Factors and the Older Adult. Academic Press, San Diego (1999)

    Google Scholar 

  18. Craik, F.I.M., Salthouse, T.A.: Handbook of Aging and Cognition. Lawrence Erlbaum, Hillsdale (1992)

    Google Scholar 

  19. Melenhorst, A.S., Rogers, W.A., Caylor, E.C.: The use of communication technologies by older adults: Exploring the benefits from an users perspective. In: Proc. of the Human Factors and Ergonomics Society, 45th Annual Meeting (2001)

    Google Scholar 

  20. Czaja, S.J., Sharit, J.: Age Differences in Attitudes Toward Computers. Journal of Gerontology 5, 329–340 (1998)

    Google Scholar 

  21. Mynatt, E.D., Melenhorst, A.-S., Fisk, A.-D., Rogers, W.A.: Aware technologies for aging in place: understanding user needs and attitudes. IEEE Pervasive Computing 20(3) (2004)

    Google Scholar 

  22. Morrell, R.W., Mayhorn, C.B., Bennet, J.: A Survey of World Wide Web Use in Middle-Aged and Older Adults. Human Factors 42(2), 175–182 (2000)

    Article  Google Scholar 

  23. Marquie, J.C., Jourdan-Boddaert, L., Huet, N.: Do older adults underestimate their actual computer knowledge? Behaviour and Information Technology 21(4), 273–280 (2002)

    Article  Google Scholar 

  24. Arning, K., Ziefle, M.: Effects of cognitive and personal factors on PDA menu navigation performance. Behavior and Information Technology 28(3), 251–269 (2009)

    Article  Google Scholar 

  25. Ziefle, M., Schroeder, U.: How young and older users master the use of hyperlinks in small screen devices. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems 2007, pp. 307–316. ACM, New York (2007)

    Chapter  Google Scholar 

  26. Ziefle, M.: The influence of user expertise and phone complexity on performance, ease of use and learnability of different mobile phones. Behaviour and Information Technology 21(5), 303–311 (2002)

    Article  Google Scholar 

  27. Zimmer, Z., Chappell, N.L.: Receptivity to new technology among older adults. Disability and Rehabilitation 21(5/6), 222–230 (1999)

    Google Scholar 

  28. Mynatt, E.D., Rogers, W.A.: Developing technology to support the functional independence of older adults. Ageing International 27(1), 24–41 (2001)

    Article  Google Scholar 

  29. Melenhorst, A.-S., Rogers, W.A., Bouwhuis, D.G.: Older adults’ motivated choice for technological innovation: Evidence for benefit-driven selectivity. Psychology and Aging 21(1), 190–195 (2006)

    Article  Google Scholar 

  30. Oetjen, S., Ziefle, M.: The Effects of LCD’s Anisotropy on the Visual Performance of Users of Different Ages. Human Factors 49(4), 619–627 (2007)

    Article  Google Scholar 

  31. Oetjen, S., Ziefle, M.: A visual ergonomic evaluation of different screen technologies. Journal of Applied Ergonomics 40, 69–81 (2009)

    Article  Google Scholar 

  32. Omori, M., Watanabe, T., Takai, J., Takada, H., Miyao, M.: Visibility and characteristics of the mobile phones for elderly people. Behaviour & Information Technology 21(5), 313–316 (2002)

    Article  Google Scholar 

  33. Ziefle, M.: Aging and mobile displays: Challenges and requirements for age-sensitive electronic information designs. In: 9th International Conference on Work With Computer Systems, Beijing, China (2009)

    Google Scholar 

  34. Zajicek, M., Hall, S.: Solutions for elderly visually impaired people using the Internet. Human Computer Interaction, 299–307 (2000)

    Google Scholar 

  35. Lin, D.-Y.: Age Differences in the Performance of Hypertext Perusal. In: Proceedings of the Human Factors And Ergonomic Society 45th Annual Meeting, pp. 211–215. Human Factors and Ergonomics Society, Santa Monica (2001)

    Google Scholar 

  36. Ziefle, M., Bay, S.: How to overcome disorientation in mobile phone menus: A comparison of two different types of navigation aids. Human Computer Interaction 21(4), 393–432 (2006)

    Article  Google Scholar 

  37. Ziefle, M., Bay, S.: How older adults meet cognitive complexity: Aging effects on the usability of different cellular phones. Behaviour and Information Technology 24(5), 375–389 (2005)

    Article  Google Scholar 

  38. Tuomainen, K., Haapanen, S.: Needs of the active elderly for mobile phones. In: Stephanidis, C. (ed.) Universal Access in HCI: Inclusive design in the information society, pp. 494–498. Lawrence Erlbaum, NJ (2003)

    Google Scholar 

  39. Freudenthal, D.: Age differences in the performance of information retrieval tasks. Behaviour and Information Technology 20, 9–22 (2001)

    Article  Google Scholar 

  40. Ellis, D.R., Allaire, J.C.: Modelling computer interest in older adults: The role of age, education, computer knowledge and computer anxiety. Human Factors 41, 345–364 (1999)

    Article  Google Scholar 

  41. Levine, T., Donitsa-Schmidt, S.: Computer use, confidence, attitudes and knowledge: a causal analysis. Computers in Human Behavior 1, 125–146 (1998)

    Article  Google Scholar 

  42. Goodman, J., Gray, P., Khammampad, K., Brewster, S.: Using Landmarks to Support Older People in Navigation. In: Brewster, S., Dunlop, M. (eds.) Mobile Human Computer Interaction, pp. 38–48. Springer, Berlin (2004)

    Google Scholar 

  43. Davis, F.D.: Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly 13, 319–337 (1989)

    Article  Google Scholar 

  44. Venkatesh, V., Davis, F.D.: A Model of the Antecedents of Perceived Ease of Use: Development and Test. Decision Sciences 27, 451–481 (1996)

    Article  Google Scholar 

  45. Venkatesh, V., Davis, F.D.: A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science 46, 186–204 (2000)

    Article  Google Scholar 

  46. Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: Toward a unified view. MIS Quarterly 27 (2003)

    Google Scholar 

  47. Schajna, B.: Empirical evaluation of the revised technology acceptance model. Management Science 42, 85–92 (1996)

    Article  Google Scholar 

  48. Schwarz, A., Chin, W.: Looking Forward: Toward an Understanding of the Nature and Definition of IT Acceptance. Journal of the Association for Information Systems 8, 232–243 (2007)

    Google Scholar 

  49. Arning, K., Ziefle, M.: Different perspectives on technology acceptance: The role of technology type and age. In: USAB 2009, Linz, Austria (submitted, 2009)

    Google Scholar 

  50. Argarwal, R., Prasad, J.: Are differences Germane to the acceptance of new Information technologies? Decision Sciences 30, 361–391 (1999)

    Article  Google Scholar 

  51. Ziefle, M.: Instruction formats and navigation aids in mobile devices. In: Holzinger, A. (ed.) USAB 2008. LNCS, vol. 5298, pp. 339–358. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  52. Bay, S., Ziefle, M.: Landmarks or surveys? The impact of different instructions on children’s performance in hierarchical menu structures. Computers in Human Behavior 24(3), 1246–1274 (2008)

    Article  Google Scholar 

  53. Kirschner, P., Gerjets, P.: Instructional design for effective and enjoyable computer-supported learning. Computers in Human Behavior 22, 1–8 (2006)

    Article  Google Scholar 

  54. Sarrafzadeh, A., Alexander, S., Dadgostar, F., Fan, C., Bigdeli, A.: How do you understand that I don’t understand? A look at the future of intelligent tutoring systems. Computers in Human Behavior 24, 1342–1363 (2008)

    Article  Google Scholar 

  55. Arning, K., Ziefle, M.: Ask and you will receive: Training older adults to use a PDA in an active learning environment. International Journal of Mobile Human-Computer Interaction (2009)

    Google Scholar 

  56. Arning, K., Ziefle, M.: Assessing computer experience in older adults: Development and validation of a computer expertise questionnaire for older adults. Behaviour and Information Technology 27, 89–93 (2008)

    Article  Google Scholar 

  57. Wilkowska, W., Ziefle, M., Arning, K.: Older adults’ navigation performance when using small-screen devices: does a tutor help? In: 9th International Conference on Work With Computer Systems, Beijing, China (2009)

    Google Scholar 

  58. EN ISO 9241-11: Ergonomic requirements for office work with visual display terminals. Part 11: Guidance on usability. Beuth, Berlin, Germany (1997)

    Google Scholar 

  59. Beier, G.: Locus of control when interacting with technology (Kontrollüberzeugungen im Umgang mit Technik). Report Psychologie 24, 684–693 (1999)

    Google Scholar 

  60. Brosnan, M.J.: The impact of computer anxiety and self-efficacy upon performance. Journal of Computer Assisted Learning 14, 223–234 (1998)

    Article  Google Scholar 

  61. Busch, T.: Gender differences in self-efficacy and attitudes toward computers. Journal of Educational Computing Research 12, 147–158 (1995)

    Article  Google Scholar 

  62. Chua, S., Chen, D., Wong, A.: Computer anxiety and its correlations: a meta analysis. Computers in Human Behavior 15, 609–623 (1999)

    Article  Google Scholar 

  63. Holzinger, A., Searle, G., Kleinberger, T., Seffah, A., Javahery, H.: Investigating Usability Metrics for the Design and Development of Applications for the Elderly. In: Miesenberger, K., Klaus, J., Zagler, W.L., Karshmer, A.I. (eds.) ICCHP 2008. LNCS, vol. 5105, pp. 98–105. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  64. Holzinger, A., Searle, G., Nischelwitzer, A.: On some Aspects of Improving Mobile Applications for the Elderly. In: Stephanidis, C. (ed.) HCI 2007. LNCS, vol. 4554, pp. 923–932. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wilkowska, W., Ziefle, M. (2009). Which Factors Form Older Adults’ Acceptance of Mobile Information and Communication Technologies?. In: Holzinger, A., Miesenberger, K. (eds) HCI and Usability for e-Inclusion. USAB 2009. Lecture Notes in Computer Science, vol 5889. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10308-7_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-10308-7_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10307-0

  • Online ISBN: 978-3-642-10308-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics