Explanation strategies in humans versus current explainable artificial intelligence: Insights from image classification.

Explainable AI (XAI) methods provide explanations of AI models, but our understanding of how they compare with human explanations remains limited. Here, we examined human participants' attention strategies when classifying images and when explaining how they classified the images through eye‐trackin...

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Detalles Bibliográficos
Publicado en:British Journal of Psychology Vol. 117; no. 2; pp. 479 - 503
Autores principales: Qi, Ruoxi, Zheng, Yueyuan, Yang, Yi, Cao, Caleb Chen, Hsiao, Janet H.
Formato: Artículo
Publicado: Wiley-Blackwell May2026
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Acceso en línea:Ver este registro en EBSCOhost