Impact of Interaction Context on the Student Affect-Learning Relationship in Child-Robot Interaction

Prior work in affect-aware educational robots has often relied on a common belief that the relationship between student affect and learning is independent of agent behaviors (child's/robot's) or unidirectional (positive/negative but not both) throughout the entire student-robot interaction...

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Bibliographic Details
Published in:	2020 15th ACM/IEEE International Conference on Human-Robot Interaction (HRI) pp. 389 - 397
Main Authors:	Chen, Huili, Park, Hae Won, Zhang, Xiajie, Breazeal, Cynthia
Format:	Conference Proceeding
Language:	English
Published:	New York, NY, USA ACM 09.03.2020
Series:	ACM Conferences
Subjects:	affective computing Correlation Educational robots Human-centered computing > Human computer interaction (HCI) > HCI design and evaluation methods > Laboratory experiments Human-centered computing > Human computer interaction (HCI) > HCI design and evaluation methods > User models Human-centered computing > Human computer interaction (HCI) > HCI theory, concepts and models Human-centered computing > Human computer interaction (HCI) > Interaction paradigms > Collaborative interaction Human-robot interaction pedagogical agent social robotics Task analysis Vocabulary human-robot interaction affective computing pedagogical robotics
ISBN:	1450367461, 9781450367462
ISSN:	2167-2148
Online Access:	Get full text
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