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 language | English (US) |
|---|---|
| Journal | CEUR Workshop Proceedings |
| Volume | 2327 |
| State | Published - Jan 1 2019 |
| Event | 2019 Joint ACM IUI Workshops, ACMIUI-WS 2019 - Los Angeles, United States Duration: Mar 20 2019 → … |
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All Science Journal Classification (ASJC) codes
- Computer Science(all)
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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 journal › Conference article
TY - JOUR
T1 - Designing explanation interfaces for transparency and beyond
AU - Brusilovsky, Peter
AU - Tsai, Chun Hua
PY - 2019/1/1
Y1 - 2019/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85063210460&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85063210460&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85063210460
VL - 2327
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
SN - 1613-0073
ER -