Author ORCID Identifier
Document Type
Article
Publication Date
9-26-2020
Publication Title
In CEUR Workshop Proceedings (IntRS)
Volume
2682
First Page
1
Last Page
13
Abstract
Controllable and explainable intelligent user interfaces have been used to provide transparent recommendations. Many researchers have explored interfaces that support user control and provide explanations of the recommendation process and models. To extend the works to real-world decision-making scenarios, we need to understand further the users’ mental models of the enhanced system components. In this paper, we make a step in this direction by investigating a free form feedback left by users of social recommender systems to specify the reasons of selecting prompted social recommendations. With a user study involving 50 subjects (N=50), we present the linguistic changes in using controllable and explainable interfaces for a social information-seeking task. Based on our findings, we discuss design implications for controllable and explainable recommender systems.
Recommended Citation
Tsai, C. H. & Brusilovsky, P. (2020). User Feedback in Controllable and Explainable Social Recommender Systems: a Linguistic Analysis. In CEUR Workshop Proceedings (IntRS ‘20), 2682, 1-13. https://ceur-ws.org/Vol-2682/paper1.pdf
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This work is licensed under a Creative Commons Attribution 4.0 License.
Comments
This is an open access publication that is licensed under Creative Commons Attribution