Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/7418
Title: Designing Artificial Intelligence (AI) in Virtual Humans for Simulation-Based Training with Graduate Teaching Assistants
Authors: Dai, Chih-Pu
Ke, Fengfeng
Dai, Zhaihuan
West, Luke
Bhowmik, Saptarshi
Yuan, Xin
Keywords: Learning Sciences
Issue Date: Jun-2021
Publisher: International Society of the Learning Sciences
Citation: Dai, C., Ke, F., Dai, Z., West, L., Bhowmik, S., & Yuan, X. (2021). Designing Artificial Intelligence (AI) in Virtual Humans for Simulation-Based Training with Graduate Teaching Assistants. In de Vries, E., Hod, Y., & Ahn, J. (Eds.), Proceedings of the 15th International Conference of the Learning Sciences - ICLS 2021. (pp. 1101-1102). Bochum, Germany: International Society of the Learning Sciences.
Abstract: In this case study, we explored the design and usability of an AI virtual human design architecture. Data from 50 hours of project meetings and 35 hours of user-testing and prototyping sessions contributed to the preliminary results. The study findings indicated the potential of using AI-integrated virtual humans to support conversational and interactive training for student instructors in an open-source virtual reality environment. Moreover, the AI student prototyped was found to be authentic and semantically meaningful.
URI: https://doi.dx.org/10.22318/icls2021.1101
https://repository.isls.org//handle/1/7418
Appears in Collections:ISLS Annual Meeting 2021

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