How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey
arxiv(2024)
摘要
Despite its technological breakthroughs, eXplainable Artificial Intelligence
(XAI) research has limited success in producing the effective
explanations needed by users. In order to improve XAI systems' usability,
practical interpretability, and efficacy for real users, the emerging area of
Explainable Interfaces (EIs) focuses on the user interface and user
experience design aspects of XAI. This paper presents a systematic survey of 53
publications to identify current trends in human-XAI interaction and promising
directions for EI design and development. This is among the first systematic
survey of EI research.
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