Combining individual user models for group adaptation

Abstract for keynote invited talk

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationPapers for the UM’03 Workshop
Subtitle of host publicationUser and Group Models for Web-based Adaptive Collaborative Environments
EditorsElena Gaudioso
Pages67
Number of pages1
Publication statusPublished - 2003
EventThe 9th International Conference on User Modeling (UM'2003) - Johnstown, PA, United States
Duration: 22 Jun 200326 Jun 2003

Conference

ConferenceThe 9th International Conference on User Modeling (UM'2003)
CountryUnited States
CityJohnstown, PA
Period22/06/0326/06/03

Fingerprint

Interactive television
Experiments
Television

Keywords

  • group adaptation group modeling
  • Group modeling

Cite this

Masthoff, J. (2003). Combining individual user models for group adaptation: Abstract for keynote invited talk. In E. Gaudioso (Ed.), Papers for the UM’03 Workshop: User and Group Models for Web-based Adaptive Collaborative Environments (pp. 67)

Combining individual user models for group adaptation : Abstract for keynote invited talk. / Masthoff, Judith.

Papers for the UM’03 Workshop: User and Group Models for Web-based Adaptive Collaborative Environments. ed. / Elena Gaudioso. 2003. p. 67.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Masthoff, J 2003, Combining individual user models for group adaptation: Abstract for keynote invited talk. in E Gaudioso (ed.), Papers for the UM’03 Workshop: User and Group Models for Web-based Adaptive Collaborative Environments. pp. 67, The 9th International Conference on User Modeling (UM'2003), Johnstown, PA, United States, 22/06/03.
Masthoff J. Combining individual user models for group adaptation: Abstract for keynote invited talk. In Gaudioso E, editor, Papers for the UM’03 Workshop: User and Group Models for Web-based Adaptive Collaborative Environments. 2003. p. 67
Masthoff, Judith. / Combining individual user models for group adaptation : Abstract for keynote invited talk. Papers for the UM’03 Workshop: User and Group Models for Web-based Adaptive Collaborative Environments. editor / Elena Gaudioso. 2003. pp. 67
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