Abstract
Marketing is essential to the survival of any product. Marketing a product is persuading people that the product can benefit them and meet their needs. Due to the diversity among people, a successful marketing strategy needs to adapt to individuals. Moreover, for certain products such as houses, the final decision tends to involve a group of people rather than an individual. In this paper, we propose an architecture for a system that produces an interactive video, which can adapt to a user or a group of users to promote a new product.
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References
Hawkins, I., Best, R.J., Coney, K.A.: Consumer behaviour: Building a marketing strategy. Irwin/McGraw-Hill, New York (1998)
Brusilovsky, P.: Methods and techniques of adaptive hypermedia. User Modelling and User Adapted Interaction 6, 87–129 (2001)
Masthoff, J.: Group Modelling: Selecting a Sequence of Television Items. User Modelling and User Adapted Interaction 14, 37–85 (2004)
Wilson, T.D., Gilbert, D.T.: Affective forecasting. Advances in Experimental Social Psychology 35, 345–411 (2003)
Asch, S.: Effects of group pressure on the modification and distortion of judgements. In: Guetzkow, H. (ed.) Groups, leadership and men, pp. 177–190. Carnegie Press, Pittsburgh (1951)
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© 2006 Springer-Verlag Berlin Heidelberg
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Nguyen, H., Masthoff, J. (2006). Towards an Architecture for an Adaptive Persuasive System. In: IJsselsteijn, W.A., de Kort, Y.A.W., Midden, C., Eggen, B., van den Hoven, E. (eds) Persuasive Technology. PERSUASIVE 2006. Lecture Notes in Computer Science, vol 3962. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11755494_16
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DOI: https://doi.org/10.1007/11755494_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34291-5
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