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arXiv · 2505.10454

Emotion-sensitive Explanation Model

Christian Schütze·Birte Richter·Britta Wrede
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Abstract

Explainable AI (XAI) research has traditionally focused on rational users, aiming to improve understanding and reduce cognitive biases. However, emotional factors play a critical role in how explanations are perceived and processed. Prior work shows that prior and task-generated emotions can negatively impact the understanding of explanation. Building on these insights, we propose a three-stage model for emotion-sensitive explanation grounding: (1) emotional or epistemic arousal, (2) understanding, and (3) agreement. This model provides a conceptual basis for developing XAI systems that dynamically adapt explanation strategies to users emotional states, ultimately supporting more effective and user-centered decision-making.

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Christian Schütze, Birte Richter, Britta Wrede. 2025-05-15. Emotion-sensitive Explanation Model. https://arxiv.org/abs/2505.10454

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