Author ORCID Identifier
Document Type
Article
Publication Date
3-20-2019
Publication Title
IUI Workshops
Volume
19
Abstract
In this work-in-progress paper, we presented a participatory process of designing explanation interfaces for a social recommender system with multiple explanatory goals. We went through four stages to identify the key components of the recommendation model, expert mental model, user mental model, and target mental model. We reported the results of an online survey of current system users (N=14) and a controlled user study with a group of target users (N=15). Based on the findings, we proposed five set of explanation interfaces for five recommendation models (N=25) and discussed the user preference of the interface prototypes.
Recommended Citation
Tsai, Chun-Hua and Brusilovsky, Peter, "Designing Explanation Interfaces for Transparency and Beyond" (2019). Information Systems and Quantitative Analysis Faculty Publications. 129.
https://digitalcommons.unomaha.edu/isqafacpub/129
Creative Commons License
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 and can be accessed at https://ceur-ws.org/Vol-2327/IUI19WS-IUIATEC-4.pdf or https://ceur-ws.org/Vol-2682/