Interaction Tasks for Explainable Recommender Systems
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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
In the modern web experience, users interact with various types of recommender systems. In this literature study, we investigate the role of interaction in explainable recommender systems using 27 relevant papers from recommender systems, humancomputer interaction, and visualization fields. We structure interaction approaches into 1) the task, 2) the interaction intent, 3) the interaction technique, and 4) the interaction effect on explainable recommender systems. We present a preliminary interaction taxonomy for designers and developers to improve the interaction design of explainable recommender systems. Findings based on exploiting the descriptive power of the taxonomy emphasize the importance of interaction in creating effective and user-friendly explainable recommender systems.
Description
@inproceedings{10.2312:evp.20231062,
booktitle = {EuroVis 2023 - Posters},
editor = {Gillmann, Christina and Krone, Michael and Lenti, Simone},
title = {{Interaction Tasks for Explainable Recommender Systems}},
author = {Al-Hazwani, Ibrahim and Alahmadi, Turki and Wardatzky, Kathrin and Inel, Oana and El-Assady, Mennatallah and Bernard, Jürgen},
year = {2023},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-220-2},
DOI = {10.2312/evp.20231062}
}