Hernandez-Bocanegra, Diana Carolina; Ziegler, Jürgen:
Explaining Review-Based Recommendations : Effects of Profile Transparency, Presentation Style and User Characteristics
In: i-com : Journal of Interactive Media, Vol. 19 (2021), No. 3, pp. 181 - 200
2021article/chapter in journalOA Bronze
Computer ScienceFaculty of Engineering » Computer Science and Applied Cognitive Science
Title in English:
Explaining Review-Based Recommendations : Effects of Profile Transparency, Presentation Style and User Characteristics
Author:
Hernandez-Bocanegra, Diana CarolinaORCID iDSCOPUSLSF; Ziegler, JürgenSCOPUSLSF
Year of publication:
2021
Open Access?:
OA Bronze
Scopus ID:
Language of text:
English
Keyword, Topic:
explanations ; Recommender systems ; user study

Abstract in English:

Providing explanations based on user reviews in recommender systems (RS) may increase users' perception of transparency or effectiveness. However, little is known about how these explanations should be presented to users, or which types of user interface components should be included in explanations, in order to increase both their comprehensibility and acceptance. To investigate such matters, we conducted two experiments and evaluated the differences in users' perception when providing information about their own profiles, in addition to a summarized view on the opinions of other customers about the recommended hotel. Additionally, we also aimed to test the effect of different display styles (bar chart and table) on the perception of review-based explanations for recommended hotels, as well as how useful users find different explanatory interface components. Our results suggest that the perception of an RS and its explanations given profile transparency and different presentation styles, may vary depending on individual differences on user characteristics, such as decision-making styles, social awareness, or visualization familiarity.