Designing explanation interfaces for transparency and beyond

Peter Brusilovsky, Chun Hua Tsai

Research output: Contribution to journalConference article

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.

Original languageEnglish (US)
JournalCEUR Workshop Proceedings
Volume2327
StatePublished - Jan 1 2019
Event2019 Joint ACM IUI Workshops, ACMIUI-WS 2019 - Los Angeles, United States
Duration: Mar 20 2019 → …

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Transparency
Recommender systems

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Cite this

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Designing explanation interfaces for transparency and beyond. / Brusilovsky, Peter; Tsai, Chun Hua.

In: CEUR Workshop Proceedings, Vol. 2327, 01.01.2019.

Research output: Contribution to journalConference article

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