Abstract
Older people often find it difficult to learn to use new technology. Although they may want to adopt it, they can find the learning process challenging and frustrating and subsequently lose motivation. This paper looks at how psychological theories of intrinsic motivation could be applied to make the ICT learning process more engaging for older users and describes an experiment set up to test the applicability of these theories to user interface (UI) design. The results of the experiment confirmed that intrinsic motivation theory is a valid lens through which to look at current ICT design and also uncovered significant gender differences in reaction to different kinds of learning tasks.
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Blaschke, C.M., Freddolino, P.P., Mullen, E.E.: Ageing and Technology: A Review of the Research Literature. Journal of Social Work 39(4), 641–656 (2009)
Hawthorn, D.: Possible implications of aging for interface designers. Interacting with Computers 12(5), 507–528 (2000)
Ofcom, Older people and communications technology, Ofcom Consumer Panel (2006)
Carstensen, L.L., Isaacowitz, D.M., Charles, S.T.: Taking time seriously - A theory of socioemotional selectivity. American Psychologist 54(3), 165–181 (1999)
Melenhorst, A.S., Rogers, W.A., Caylor, E.C.: The Use of Communication Technologies by Older Adults: Exploring the Benefits from the User’s Perspective. Human Factors and Ergonomics Society Annual Meeting Proceedings 45(3), 221–225 (2001)
Deci, E.L., Ryan, R.M.: The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry 11(4), 227–268 (2000)
Csikszentmihalyi, M.: Flow: the psychology of optimal experience. Harper & Row, New York (1990)
Malone, T.W.: Toward a theory of intrinsically motivating instruction. Cognitive Science 5(4), 333–369 (1981)
Cury, F., et al.: The social-cognitive model of achievement motivation and the 2x2 achievement goal framework. Journal of Personality and Social Psychology 90(4), 666–679 (2006)
Goldhaber, T., Langdon, P., Clarkson, J.: Intrinsic Motivation and Design of ICT for the Ageing Population. In: Langdon, P., et al. (eds.) Designing Inclusive Systems. Springer, London (2012)
Ryan, R.M., Koestner, R., Deci, E.L.: Varied forms of persistence: When free-choice behavior is not intrinsically motivated. Motivation and Emotion 15, 185–205 (1991)
Ryan, R.M., Mims, V., Koestner, R.: Relation of Reward Contingency and Interpersonal Context to Intrinsic Motivation - a Review and Test Using Cognitive Evaluation Theory. Journal of Personality and Social Psychology 45(4), 736–750 (1983)
University of Rochester Department of Clinical & Social Sciences in Psychology. Self-Determination Theory: An approach to human motivation & personality. Questionnaires (August 9, 2011), http://www.psych.rochester.edu/SDT/questionnaires.php (cited August 9, 2011)
Przybylski, A.K., Rigby, C.S., Ryan, R.M.: A Motivational Model of Video Game Engagement. Review of General Psychology 14(2), 154–166 (2010)
Hicks, W.D., Klimoski, R.J.: Entry into Training-Programs and Its Effects on Training Outcomes - a Field Experiment. Academy of Management Journal 30(3), 542–552 (1987)
Zweig, D., Webster, J.: Validation of a multidimensional measure of goal orientation. Canadian Journal of Behavioural Science-Revue Canadienne Des Sciences Du Comportement 36(3), 232–243 (2004)
Postkammer, P., Smith, P.L.: Sex-Differences in Career Self-Efficacy, Consideration, and Interests of 8th and 9th Graders. Journal of Counseling Psychology 32(4), 551–559 (1985)
Betz, N.E., Hackett, G.: The Relationship of Career-Related Self-Efficacy Expectations to Perceived Career Options in College-Women and Men. Journal of Counseling Psychology 28(5), 399–410 (1981)
Busch, T.: Gender Differences in Self-Efficacy and Attitudes toward Computers. Journal of Educational Computing Research 12(2), 147–158 (1995)
Murphy, C.A., Coover, D., Owen, S.V.: Development and Validation of the Computer Self-Efficacy Scale. Educational and Psychological Measurement 49(4), 893–899 (1989)
Booth, A.L.: Gender and Competition. IZA Discussion Papers, No. 4300, pp. 1–30 (2009)
Byrnes, J.P., Miller, D.C., Schafer, W.D.: Gender differences in risk taking: A meta-analysis. Psychological Bulletin 125(3), 367–383 (1999)
Niederle, M., Yestrumskas, A.H.: Gender Differences in Seeking Challenges: The Role of Institutions, Stanford University (2008)
Datta Gupta, N., Poulsen, A., Villeval, M.C.: Male and female competitive behaviour: Experimental evidence. IZA Discussion Papers, No. 1833 (2005)
Dweck, C.S.: Is Math a Gift? Beliefs That Put Females at Risk. In: Ceci, S.J., Williams, W. (eds.) Why Aren’t More Women in Science? Top Researchers Debate the Evidence, American Psychological Associaiton, Washington, DC (2006)
Licht, B.G., Dweck, C.S.: Determinants of Academic-Achievement - the Interaction of Childrens Achievement Orientations with Skill Area. Developmental Psychology 20(4), 628–636 (1984)
Koszegi, B.: Ego utility, overconfidence, and task choice. Journal of the European Economic Association 4(4), 673–707 (2006)
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Goldhaber, T.S., Langdon, P.M., Clarkson, P.J. (2013). Designing Intrinsically Motivating User Interfaces for the Ageing Population. In: Stephanidis, C., Antona, M. (eds) Universal Access in Human-Computer Interaction. User and Context Diversity. UAHCI 2013. Lecture Notes in Computer Science, vol 8010. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39191-0_8
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DOI: https://doi.org/10.1007/978-3-642-39191-0_8
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