Understanding age differences in PDA acceptance and performance

Computers in Human Behavior

Volumn 23, Issue 6, 2007, Pages 2904-2927

  Arning, Katrin ^a   Ziefle, Martina ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

Age; Gender; Perceived ease of use; Perceived usefulness; Subjective technical confidence; Technical performance; Technology acceptance; Technology experience

Indexed keywords

COMPUTER SIMULATION; HUMAN COMPUTER INTERACTION; PERSONNEL TRAINING; SOCIAL ASPECTS; TECHNOLOGY TRANSFER;

PERCEIVED EASE OF USE; PERCEIVED USEFULNESS; SUBJECTIVE TECHNICAL CONFIDENCE; TECHNICAL PERFORMANCE; TECHNOLOGY ACCEPTANCE; TECHNOLOGY EXPERIENCE;

INFORMATION TECHNOLOGY;

EID: 34249947611     PISSN: 07475632     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chb.2006.06.005     Document Type: Article

References (39)

1. Adams D.A., Nelson R., and Todd P.A. Perceived usefulness, ease of use, and usage of information technology: A replication. MIS Quarterly 16 (1992) 227-247
2. Ajzen I., and Fishbein M. Belief, attitude, intention, and behavior: An introduction to theory and research (1975), Addison-Wesley, Reading, MA
3. Anandarajan M., Simmers C., and Igbaria M. An exploratory investigation of the antecedents and impact of internet usage: an individual perspective. Behaviour and Information Technology 19 (2000) 69-85
4. Argarwal R., and Prasad J. Are differences Germane to the acceptance of new Information technologies?. Decision Sciences 30 (1999) 361-391
5. Arning, K., & Ziefle, M. (2006). What older users expect from mobile devices: an empirical survey. In Proceedings IEA 2006.
6. Arning, K., & Ziefle, M. (submitted). Effects of cognitive and personal factors on PDA menu navigation performance. Behaviour and Information Technology.
7. Bay, S., & Ziefle, M. (2003). Design for all: user characteristics to be considered for the design of devices with hierarchical menu structures. In Luczak, H., & Zink, K. (Eds.), Human factors in organizational design and management (pp. 503-508). IEA 2003.
8. Bay, S., & Ziefle, M. (under revision). Landmarks or surveys? The impact of different instructions on children's performance in hierarchical menu structures. Computers in Human Behavior.
9. Beier G. Locus of control when interacting with technology (Kontrollüberzeugungen im Umgang mit Technik). Report Psychologie 24 (1999) 684-693
10. Brosnan M.J. The impact of computer anxiety and self-efficacy upon performance. Journal of Computer Assisted Learning 14 (1998) 223-234
11. Busch T. Gender differences in self-efficacy and attitudes toward computers. Journal of Educational Computing Research 12 (1995) 147-158
12. Chua S., Chen D., and Wong A. Computer anxiety and its correlations: a meta analysis. Computers in Human Behavior 15 (1999) 609-623
13. Davis F.D. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13 (1989) 319-340
14. Downing R.E., Moore J.L., and Brown S.W. The effects and interaction of spatial visualization and domain expertise on information seeking. Computers in Human Behavior 21 (2005) 195-209
15. Gefen D., and Straub D.W. Gender differences in the perception and use of email: an extension to the technology acceptance model. MIS Quarterly 21 (1997) 389-400
16. Goodhue D.L., and Thompson R.L. Task-technology fit and individual performance. MIS Quarterly 19 (1995) 213-236
17. Goodman, J., Gray, P., Khammampad, K., & Brewster, S. (2004). Using landmarks to support older people in navigation. In: Brewster, S., & Dunlop, M. (Eds.), MobileHCI 2004, LNCS 3160, pp. 38-48.
18. Harrison A.W., and Rainer R.K. The influence of individual differences on skill in end-user computing. Journal of Management Information Systems 9 (1992) 93-111
19. Lin D.M. Age differences in the performance of hypertext perusal. Proceedings of the human factors and ergonomics society 45th annual meeting (2001), Human Factors and Ergonomics Society, Santa Monica, CA 211-215
20. Liu L., and Grandon E.E. How performance and self-efficacy influence the ease of use of object-orientation: the moderating effect of prior training. HICSS (2003) 327
21. Melenhorst A.S., Rogers W.A., and Caylor E.C. The use of communication technologies by older adults: exploring the benefits from the user's perspective. Proceedings of the human factors and ergonomics society 45th annual meeting (2001), Human Factors and Ergonomics Society, Santa Monica, CA
22. Pak R. A further examination of the influence of spatial abilities on computer task performance in younger and older adults. Proceedings of the human factors and ergonomics society 45th annual meeting (2001), Human Factors and Ergonomics Society, Santa Monica, CA 1551-1555
23. Rotter J.B. The role of the psychological situation in determining the direction of human behavior. Nebraska Symposium on Motivation 3 (1955) 245-268
24. Salthouse T.A. Mechanisms of age-cognition relations in adulthood (1992), Lawrence Erlbaum Associates
25. Sein M.K., Olfman L., Bostrom R.P., and Davis S.A. Visualization ability as a prediction of user learning success. International Journal of Man-Machine Studies 39 (1993) 599-620
26. Shiffler G., Smulders C., Correia J.M., Hale K., and Hahn W.M. Gartner dataquest market databook (2005), Gartner Dataquest Inc.
27. Stanney K., and Salvendy G. Information visualization: assisting low-spatial individuals with information access tasks through the use of visual mediators. Ergonomics 38 (1995) 1184-1198
28. Straub D., Limayem M., and Karahanna-Evaristo E. Measuring system usage: implications for IS theory testing. Management Science 41 (1995) 1328-1342
29. Szajna B. Empirical evaluation of the revised technology acceptance model. Management Science 42 (1996) 85-92
30. Thompson L.R., Higgins A.C., and Howell M.J. Influence of experience on personal computer utilization: testing a conceptual model. Journal of Management Information Systems 11 (1994) 167-187
31. Venkatesh V. Determinants of perceived ease of use: integrating perceived behavioral control, computer anxiety and enjoyment into the technology acceptance model. Information Systems Research 11 (2000) 342-365
32. Venkatesh V., and Davis F.D. A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science 46 (2000) 186-204
33. Westermann S.J. Individual differences in the use of command line and menu computer interfaces. International Journal for Human-Computer Interaction 9 (1995) 183-198
34. Zajicek M., and Hall S. Solutions for elderly visually impaired people using the Internet. HCI (2000) 299-307
35. 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 (2002) 303-311
36. Ziefle, M., & Bay, S. (2006). How to overcome disorientation in mobile phone menus: a comparison of two different types of navigation aids. Human-Computer Interaction, 21, in press.
37. Ziefle M., Bay S., and Schwade A. On keys meanings and modes: the impact of navigation key solutions on children's efficiency using a mobile phone. Behaviour and Information Technology 25 (2006) 413-431
38. Ziefle M., Künzer A., and Bodendieck A. The impact of user characteristics on the utility of adaptive help systems. In: Khalid H.M., Helander M.G., and Yeo A.W. (Eds). Proceedings of the 7th international conference on work with computing systems 2004 (2004), Damai Sciences, Kuala Lumpur 71-76
39. Zmud R.W. Individual differences and MIS success. Management Science 25 (1979) 966-979