Hernandez-Bocanegra, Diana Carolina; Ziegler, Jürgen:
Argumentative explanations for recommendations : Effect of display style and profile transparency
In: Mensch und Computer 2020 : Workshopband / Hansen, Christian; Nürnberger, Andreas; Preim, Bernhard (Eds.). - Mensch und Computer 2020 (MuC '20) "Digitaler Wandel im Fluss der Zeit", 6-9 September 2020, Magdeburg, Germany (online) - Bonn: Gesellschaft für Informatik, 2020
2020book article/chapter in ProceedingsOA Bronze
Computer ScienceFaculty of Engineering » Computer Science and Applied Cognitive Science
Title in English:
Argumentative explanations for recommendations : Effect of display style and profile transparency
Author:
Hernandez-Bocanegra, Diana CarolinaORCID iDLSF; Ziegler, JürgenLSF
Year of publication:
2020
Open Access?:
OA Bronze
Language of text:
English
Keyword, Topic:
Recommender systems, explanations, user study

Abstract in English:

Providing explanations based on user reviews in recommender systems may increase users’ perception of transparency. However, little is known about how these explanations should be presented to users in order to increase both their understanding and acceptance. We present in this paper a user study to investigate the effect of different display styles (visual and text only) on the perception of review-based explanations for recommended hotels. Additionally, we also aim to test the differences in users’ perception when providing information about their own profiles, in addition to a summarized view on the opinions of other users about the recommended hotel. Our results suggest that the perception of explanations regarding these aspects may vary depending on user characteristics, such as decision-making styles or social awareness.