模型考虑听众情绪，更好预测医生如何解释疾病原因。
Empathy in Explanation
- 构建情感感知解释模型，评估解释对听者情绪的影响。
- 在患者后悔倾向情境下，模型预测人类直觉准确度优于忽略情绪的版本。
- 适合研究人机交互、医疗沟通或具身认知的学者参考。
我们为何给出这样的解释？近期研究认为解释是一种解释者与提问者之间的合作社交互动。本文从这一视角出发，探讨情感在此类互动中的作用。我们提出一个计算框架，用于建模会考虑解释对听者情绪影响的解释者。通过模拟医生向有后悔倾向的患者解释疾病成因的情境，验证该框架。模型对人类直觉的预测效果优于忽略情绪的对照组，表明人们在提供解释时确实会考量情感因素。
原文摘要 · Abstract (English)
Why do we give the explanations we do? Recent work has suggested that we should think of explanation as a kind of cooperative social interaction, between a why-question-asker and an explainer. Here, we apply this perspective to consider the role that emotion plays in this social interaction. We develop a computational framework for modeling explainers who consider the emotional impact an explanation might have on a listener. We test our framework by using it to model human intuitions about how a doctor might explain to a patient why they have a disease, taking into account the patient's propensity for regret. Our model predicts human intuitions well, better than emotion-agnostic ablations, suggesting that people do indeed reason about emotion when giving explanations.
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