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Title: Investigating Relationship Development Processes Between 3D Conversational Agents and Learners in Collaborative Discussions
Authors: Mochizuki, Toshio
Yuki, Natsumi
Egi, Hironori
Ishii, Yutaka
Kubota, Yoshihiko
Kato, Hiroshi
Takeuchi, Miwa Aoki
Keywords: CSCL
Issue Date: 2023
Publisher: International Society of the Learning Sciences
Citation: Mochizuki, T., Yuki, N., Egi, H., Ishii, Y., Kubota, Y., Kato, H., & Takeuchi, M. A. (2023). Investigating relationship development processes between 3D conversational agents and learners in collaborative discussions. In Damșa, C., Borge, M., Koh, E., & Worsley, M. (Eds.), Proceedings of the 16th International Conference on Computer-Supported Collaborative Learning - CSCL 2023 (pp. 201-204). International Society of the Learning Sciences.
Abstract: Social agents (SA) like robots or conversational agents can be great catalysts for fostering co-regulation of collaborative discussions as learning peers who help learners maintain apt participation in group discussions. However, prior CSCL studies have rarely addressed SA’s design of sociability, which should be a key for SA to become actual learning peers. This paper describes a qualitative analysis of face-to-face group discussions to investigate the relationship development between learners and a three-dimensional holographic SA. The analysis revealed that the learners’ initial impressions of the SA varied between positive and negative; sometimes the learners even ignored or refuted the SA’s prompt at first. However, the relationship between the SA and the learners improved as the learners recognized the SA’s abilities and potential, so they engaged in the discussion according to the SA’s prompt. The authors discussed the need for research in designing SA and its circumstances to achieve effective facilitation.
Description: Short Paper
Appears in Collections:ISLS Annual Meeting 2023

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