How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866910377838641152 |
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| author | Nguyen, Thu Canossa, Alessandro Zhu, Jichen |
| author_facet | Nguyen, Thu Canossa, Alessandro Zhu, Jichen |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2403_14496 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey Nguyen, Thu Canossa, Alessandro Zhu, Jichen Human-Computer Interaction Artificial Intelligence 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. |
| title | How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey |
| topic | Human-Computer Interaction Artificial Intelligence |
| url | https://arxiv.org/abs/2403.14496 |