How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey
<|reference_start|>How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey: 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.<|reference_end|>
@article{nguyen2024how,
    title={How Human-Centered Explainable AI Interface Are Designed and Evaluated:
  A Systematic Survey},
    author={Thu Nguyen, Alessandro Canossa, Jichen Zhu},
    journal={arXiv preprint arXiv:2403.14496},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.14496},
    primaryClass={cs.HC cs.AI}
}