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 |
Files in This Item:
File | Size | Format | |
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1101-1102.pdf | 278.17 kB | Adobe PDF | View/Open |
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