Abstract
The idea that a computer system could be used to motivate people to perform a certain task on the basis of a user model is certainly not novel. As early as the 80s, intelligent tutoring systems would encourage students to learn by means of tailored feedback and hints [24], and in the 90s patient education systems would attempt to address the problem of compliance to a medical regimen by means of information and personalised advice [1] or would encourage people to adopt healthier lifestyles [19]. It is however only recently that a number of, seemingly non correlated, extensive research efforts, from various perspectives, have started to focus on a more complex cognitive model of rational and extra-rational features, involving emotions, persuasion, motivation and argumentation. We can distinguish three parallel strands of research that have become prominent.
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References
De Carolis, B., de Rosis, F., Grasso, F., Rossiello, A., Berry, D., Gillie, T.: Generating Recipient-Centred Explanations About Drug Prescription. Artificial Intelligence in Medicine 8(2), 123–145 (1996)
Fishbein, M., Triandis, H.C., Kanfer, F.H., Becker, M., Middlestadt, S.E., Eichler, A.: Factors influencing behaviour and behaviour change. In: Baum, A., Revenson, T.A., Singer, J.E. (eds.) Handbook of Health Psychology, vol. 317, Lawrence Erlbaum Associates, Mahwah (2001)
Fogg, B.J.: Persuasive technology: using computers to change what we think and do. In: Ubiquity 2002 (December 2002)
Greenwald, A.G., McGhee, D.E., Schwartz, J.K.L.: Measuring individual differences in implicit cognition: The Implicit Association Test. Journal of Personality and Social Psychology 74, 1464–1480 (1998)
Ham, J., Van den Bos: The merits of unconscious processing of directly and indirectly obtained information about social justice. Social Cognition 28, 180–191 (2010)
Ham, J., Midden, C.: Ambient Persuasive Technology Needs Little Cognitive Effort: The Differential Effects of Cognitive Load on Lighting Feedback Versus Factual Feedback. In: Ploug, T., Hasle, P., Oinas-Kukkonen, H. (eds.) PERSUASIVE 2010. LNCS, vol. 6137, pp. 132–142. Springer, Heidelberg (2010)
De Carolis, B., Mazzotta, I.: Motivating People in Smart Environments. In: [20], pp. 47–58 (2011)
Jackson, T.: Motivating sustainable consumption: a review of models of consumer behaviour and behavioural change. In: A Report to the Sustainable Development Research Network. Policy Studies Institute, London (2005)
Leventhal, H., Cameron, L.: Behavioral theories and the problem of compliance. Patient Education and Counceling 10, 117–138 (1987)
Lloyd-Kelly, M., Wyner, A.: Arguing with Emotions. In: [20], pp. 59–70 (2011)
Lopez, C., Brusilovsky, P.: Adapting Engagement e-mails to Users’ Characteristics. In: [20], pp. 71–83 (2011)
Michie, S., Johnston, M., Abraham, C., Lawton, R., Parker, D., Walker, A.: Making psychological theory useful for implementing evidence based practice: a consensus approach. Quality and Safety in Health Care 14, 26–33 (2005)
Michie, S., Johnston, M., Francis, J., Hardeman, W., Eccles, M.: From theory to intervention: Mapping theoretically derived behavioural determinants to behaviour change techniques. Applied Psychology: An International Review 57(4), 660–680 (2008)
Nguyen, H., Masthoff, J.: Designing Persuasive Dialogue Systems: Using Argumentation with Care. In: Oinas-Kukkonen, H., Hasle, P., Harjumaa, M., Segerståhl, K., Øhrstrøm, P. (eds.) PERSUASIVE 2008. LNCS, vol. 5033, pp. 201–212. Springer, Heidelberg (2008)
Nguyen, H., Masthoff, J.: Developing personalised digital behaviour interventions: A multi stage process. In: User Models for Motivational Systems Workshop, Associated with UMAP, Hawaii, US, pp. 43–52 (2010)
Paramythis, A., Weibelzahl, S., Masthoff, J.: Layered evaluation of interactive adaptive systems: framework and formative methods. User Modelling and User-Adapted Interaction 20(5), 383–453 (2010)
Picard, R.W.: Affective Computing. MIT Press (1997)
Poggi, I., D’Errico, F., Vincze, L.: Discrediting Moves in Political Debates. In: [20], pp. 84–99 (2011)
Reiter, E., Robertson, R., Osman, L.: Lessons from a failure: Generating tailored smoking cessation letters. Artificial Intelligence 144, 41–58 (2003)
Ricci, F., Semeraro, G., de Gemmis, M., Lops, P., Masthoff, J., Grasso, F., Ham, J. (eds.): Joint Proceedings of the Workshop on Decision Making and Recommendation Acceptance Issues in Recommender Systems (DEMRA 2011) and the 2nd Workshop on User Models for Motivational Systems: The Affective and the Rational Routes to Persuasion (UMMS 2011). CEUR Workshop Proceedings, vol. 740. RWTH, Aachen (2011), http://ceur-ws.org/Vol-740/ , ISSN: 1613-0073
Ritterband, L.M., Thorndike, F.P., Cox, D.J., Kovatchev, B.P., Gonder-Frederick, L.A.: A behaviour change model for internet interventions. Annals of Behavioural Medicine 38, 18–27 (2009)
Romero, P., Calvillo-Gamez, E.: Towards an Embodied View of Flow. In: [20], pp. 100–105 (2011)
Simari, G.R., Reed, C., Rahwan, I., Grasso, F.: Introducing Argument & Computation. Argument and Computation 1(1), 1–5 (2011)
Sleeman, D., Brown, J.S.: Introduction: Intelligent Tutoring Systems. In: Sleeman, D., Brown, J.S. (eds.) Intelligent Tutoring Systems, pp. 1–11. Academic Press, New York (1982)
Tkalcic, M., Kunaver, M., Kosir, A., Tasic, J.: Addressing the New User Problem with a Personality Based User Similarity Measure. In: [20], pp. 106–111 (2011)
Tkalcic, M., Odic, A., Kosir, A., Tasic, J.: Impact of Implicit and Explicit Affective Labeling on a Recommender System’s Performance. In: [20], pp. 112–123 (2011)
Webb, T.L., Joseph, J., Yardley, L., Michie, S.: Using the internet to promote health behaviour change: A systematic review and meta-analysis of the impact of theoretical basis, use of behaviour change techniques, and mode of delivery on efficacy. Journal of Medical Internet Research 12(1) (2010)
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Grasso, F., Ham, J., Masthoff, J. (2012). User Models for Motivational Systems. In: Ardissono, L., Kuflik, T. (eds) Advances in User Modeling. UMAP 2011. Lecture Notes in Computer Science, vol 7138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28509-7_31
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