How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey

• URL: http://arxiv.org/abs/2403.14496v1
• Date: Thu, 21 Mar 2024 15:44:56 GMT
• Title: How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey
• Authors: Thu Nguyen, Alessandro Canossa, Jichen Zhu,
• Abstract summary: The emerging area of em 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.
• Score: 48.97104365617498
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Despite its technological breakthroughs, eXplainable Artificial Intelligence (XAI) research has limited success in producing the {\em effective explanations} needed by users. In order to improve XAI systems' usability, practical interpretability, and efficacy for real users, the emerging area of {\em 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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