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User-controllable personalization: A case study with SetFusion

Parra, D and Brusilovsky, P (2015) User-controllable personalization: A case study with SetFusion. International Journal of Human Computer Studies, 78. 43 - 67. ISSN 1071-5819

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In this research we investigated the role of user controllability on personalized systems by implementing and studying a novel interactive recommender interface, SetFusion. We examined whether allowing the user to control the process of fusing or integrating different algorithms (i.e., different sources of relevance) resulted in increased engagement and a better user experience. The essential contribution of this research stems from the results of a user study (N=40) of controllability in a scenario where users could fuse different recommendation approaches, with the possibility of inspecting and filtering the items recommended. First, we introduce an interactive Venn diagram visualization, which combined with sliders, can provide an efficient visual paradigm for information filtering. Second, we provide a three-fold evaluation of the user experience: objective metrics, subjective user perception, and behavioral measures. Through the analysis of these metrics, we confirmed results from recent studies, such as the effect of trusting propensity on accepting the recommendations and also unveiled the importance of features such as being a native speaker. Our results present several implications for the design and implementation of user-controllable personalized systems.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Parra, D
Brusilovsky, Ppeterb@pitt.eduPETERB0000-0002-1902-1464
Date: 1 January 2015
Date Type: Publication
Journal or Publication Title: International Journal of Human Computer Studies
Volume: 78
Page Range: 43 - 67
DOI or Unique Handle: 10.1016/j.ijhcs.2015.01.007
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISSN: 1071-5819
Date Deposited: 11 Aug 2015 14:37
Last Modified: 30 Mar 2021 15:55


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