Argumentative explanations for recommendations - Effect of display style and profile transparency
| dc.contributor.author | Hernandez-Bocanegra, Diana Carolina | |
| dc.contributor.author | Ziegler, Jürgen | |
| dc.contributor.editor | Hansen, Christian | |
| dc.contributor.editor | Nürnberger, Andreas | |
| dc.contributor.editor | Preim, Bernhard | |
| dc.date.accessioned | 2020-08-18T15:19:48Z | |
| dc.date.available | 2020-08-18T15:19:48Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | 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. | en |
| dc.identifier.doi | 10.18420/muc2020-ws111-338 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/33510 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Mensch und Computer 2020 - Workshopband | |
| dc.relation.ispartofseries | Mensch und Computer | |
| dc.subject | Recommender systems | |
| dc.subject | user study | |
| dc.subject | explanations | |
| dc.title | Argumentative explanations for recommendations - Effect of display style and profile transparency | en |
| dc.type | Text/Workshop Paper | |
| gi.citation.publisherPlace | Bonn | |
| gi.conference.date | 6.-9. September 2020 | |
| gi.conference.location | Magdeburg | |
| gi.conference.sessiontitle | MCI-WS02: UCAI 2020: Workshop on User-Centered Artificial Intelligence | |
| gi.document.quality | digidoc |
Dateien
Originalbündel
1 - 1 von 1