User Interfaces for Counteracting Decision Manipulation in Group Recommender Systems
| Autor: | Viet Man Le, Martin Stettinger, Ralph Samer, Thi Ngoc Trang Tran, Alexander Felfernig, Müslüm Atas |
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| Rok vydání: | 2019 |
| Předmět: |
03 medical and health sciences
0302 clinical medicine Human–computer interaction Group (mathematics) Computer science 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 030212 general & internal medicine 02 engineering and technology Recommender system User interface Transparency (behavior) Group decision-making |
| Zdroj: | UMAP (Adjunct Publication) Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization-UMAP19 Adjunct Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization -UMAP'19 Adjunct Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization-UMAP'19 Adjunct |
| DOI: | 10.1145/3314183.3324977 |
| Popis: | In group recommender systems,decision manipulation refers to an attack in which a group member makes attempts to push his/her favorite options. In this paper, we propose user interfaces to counteract decision manipulation in group recommender systems. The proposed user interfaces visualize information dimensions regarding rating adaptations of group members at different transparency levels. The results show that the user interface at the highest transparency level best helps to discourage users from decision manipulation. Besides, the ability of the user interfaces to counteract decision manipulation differs depending on the dimensions represented in the user interfaces. The information dimensions regarding "\textititem ratings " and "\textitgroup recommendations " have the strongest impacts on preventing users from decision manipulation. |
| Databáze: | OpenAIRE |
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