论文标题
通过对比解释朝着透明的机器人计划
Towards Transparent Robotic Planning via Contrastive Explanations
论文作者
论文摘要
提供所选机器人动作的解释可以帮助提高机器人计划的透明度并提高用户的信任。社会科学表明，最好的解释是对比的，不仅解释了为什么采取一种行动，还解释了为什么采取一种行动而不是另一种行动。我们将基于马尔可夫决策过程的机器人计划政策的对比解释形式化，并借鉴了社会科学的见解。我们介绍了具有三个关键因素的对比解释的自动产生的方法：选择性，限制性和责任。亚马逊机械Turk平台上有100名参与者的用户研究结果表明，我们生成的对比解释可以帮助增加用户对机器人计划政策的理解和信任，同时减少用户的认知负担。
Providing explanations of chosen robotic actions can help to increase the transparency of robotic planning and improve users' trust. Social sciences suggest that the best explanations are contrastive, explaining not just why one action is taken, but why one action is taken instead of another. We formalize the notion of contrastive explanations for robotic planning policies based on Markov decision processes, drawing on insights from the social sciences. We present methods for the automated generation of contrastive explanations with three key factors: selectiveness, constrictiveness, and responsibility. The results of a user study with 100 participants on the Amazon Mechanical Turk platform show that our generated contrastive explanations can help to increase users' understanding and trust of robotic planning policies while reducing users' cognitive burden.
