如何管理儿童-机器人辅导互动中的情感状态?

Thorsten Schodde, Laura Hoffmann, S. Kopp
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引用次数: 17

摘要

社交机器人代表了智能辅导系统卓有成效的增强,可以用于一对一辅导。到目前为止,在这种系统中,情感状态在学习过程中的作用几乎没有被考虑过,因为尚不清楚应该跟踪哪些线索,如何解释这些线索,以及系统应该如何对它们做出反应。因此,我们对学龄前教师进行了专家访谈,并基于这些结果提出了一个概念模型,用于跟踪和管理机器人儿童辅导期间学龄前儿童的情感状态。
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How to manage affective state in child-robot tutoring interactions?
Social robots represent a fruitful enhancement of intelligent tutoring systems that can be used for one-to-one tutoring. The role of affective states during learning has so far only scarcely been considered in such systems, because it is unclear which cues should be tracked, how they should be interpreted, and how the system should react to them. Therefore, we conducted expert interviews with preschool teachers, and based on these results suggest a conceptual model for tracing and managing the affective state of preschool children during robot-child tutoring.
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