Abstract
Research on adaptation has, as implied by the term “personalisation”, mainly focussed on adapting systems to individual users. There are situations, however, when adaptation needs to occur to groups of users rather than to individuals. Adaptive interactive television is one such example, as watching television tends to be a social activity. In this presentation (based on Masthoff, 2003), we will discuss different strategies for combining individual user models to adapt to groups, some of which are inspired by Social Choice Theory. In a first experiment, we explore how humans select a sequence of items for a group to watch, based on data about the individuals’ preferences. The results show that humans use some of the strategies such as the Average Strategy (a.k.a. Additive Utilitarian), the Average Without Misery Strategy and the Least Misery Strategy, and care about fairness and avoiding individual misery. In a second experiment, we investigate how satisfied people believe they would be with sequences chosen by different strategies, and how their satisfaction corresponds with that predicted by a number of satisfaction functions. The results show that subjects use normalization, deduct misery, and use the ratings in a nonlinear
way. One of the satisfaction functions produced reasonable, though not
completely correct predictions. According to our subjects, the sequences produced by five strategies give satisfaction to all individuals in the group, and Multiplicative Utilitarianism is the preferred strategy. In a final experiment, we explore the influence viewing an item can have on the ratings of other items. This is important for deciding the order in which to present items. The results show an effect of both mood and topical relatedness.
way. One of the satisfaction functions produced reasonable, though not
completely correct predictions. According to our subjects, the sequences produced by five strategies give satisfaction to all individuals in the group, and Multiplicative Utilitarianism is the preferred strategy. In a final experiment, we explore the influence viewing an item can have on the ratings of other items. This is important for deciding the order in which to present items. The results show an effect of both mood and topical relatedness.
Original language | English |
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Title of host publication | Papers for the UM’03 Workshop |
Subtitle of host publication | User and Group Models for Web-based Adaptive Collaborative Environments |
Editors | Elena Gaudioso |
Pages | 67 |
Number of pages | 1 |
Publication status | Published - 2003 |
Event | The 9th International Conference on User Modeling (UM'2003) - Johnstown, PA, United States Duration: 22 Jun 2003 → 26 Jun 2003 |
Conference
Conference | The 9th International Conference on User Modeling (UM'2003) |
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Country/Territory | United States |
City | Johnstown, PA |
Period | 22/06/03 → 26/06/03 |
Bibliographical note
Abstract for invited talk at The 9th International Conference on User Modeling (UM'2003), 22-26 June 2003, at Conference Center of the University of Pittsburgh, Johnstown, PA, USA, hosted by the School of Information Sciences, University of Pittsburgh and organized under the auspices of User Modeling, Inc.Keywords
- group adaptation group modeling
- Group modeling