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

Author:

Chen Huili1,Park Hae Won1,Zhang Xiajie1,Breazeal Cynthia1

Affiliation:

1. Massachusetts Institute of Technology, Cambridge, MA, USA

Funder

Intel Graduate Fellowship

NRI

NSF

Publisher

ACM

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Integrating Flow Theory and Adaptive Robot Roles: A Conceptual Model of Dynamic Robot Role Adaptation for the Enhanced Flow Experience in Long-term Multi-person Human-Robot Interactions;Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction;2024-03-11

2. Designing Conversational Agents for Emotional Self-Awareness;2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW);2023-09-10

3. The minds of machines: Children's beliefs about the experiences, thoughts, and morals of familiar interactive technologies.;Developmental Psychology;2023-06

4. User Interface for Child-Robot Interaction in Education: Perspective and Challenges;2022 2nd International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS);2022-11-04

5. Are Two Heads Better Than One?: The Effect of Student-AI Collaboration on Students' Learning Task Performance;TechTrends;2022-10-14

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