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An adaptive and customizable feedback system for VR-based training simulators

Published: 12 May 2008 Publication History

Abstract

This paper describes a proposal to build an intelligent feedback selection system for Virtual Reality-based training simulators. The system is aimed at generating multimodal feedback in real-time for advising the students while training with the simulator. Focused on driving tasks, we analyze how to customize the system to exhibit different behaviors. We examine educational and human factors that have influence on the behavior, so that the instructors can use or refine the behavior they prefer in each training session. The selection process is based on the analysis of the information coming from a diagnostic component and adapts the feedback to the performance of each student, since the process takes into account whether previous feedbacks were ineffective. The objective is to emulate the behavior of the instructor. In this way, the feedback system can be helpful for him/her, as while the system decides which the appropriate feedback is, the instructor can focus on other instructional tasks.

References

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Brusilovsky, P., Ontology-based Framework for user Model Interoperability in Distributed Learning Environments. in World Conference on E-Learning, E-Learn 2005, (Vancouver, Canada, 2005), AACE, 2851--2855.
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Corbett, A. T. and Anderson, J. R., Locus of Feedback Control in Computer-Based Tutoring: Impact on Learning Rate, Achievement and Attitudes. in ACM CHI 2001 Human Factors in Computing Systems Conference, (Seattle, Washington, 2001), 245--252.
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Ganai, S., Donroe, J. A., Louis, M. R. S., Lewis, G. M. and Seymour, N. E. Virtual-reality training improves angled telescope skills in novice laparoscopists. American Journal of Surgery, 193 (2). 260--265.
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Hansen, E. The role of interactive video technology in higher education: Case study and proposed framework Educational Technology, 1990, 13--21.
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Johnson, W. L. and Rickel, J. STEVE: An Animated Pedagogical Agent for Procedural Training in Virtual Environments. SIGART Bulletin, 8 (1--4). 16--21.
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Lozano, A., Urretavizcaya, M., Ferrero, B., Castro, I. F. d., Ustarroz, A. and Matey, L. Integration of a Generic Diagnostic Tool in Virtual Environments for Procedural Training. Lecture Notes in Artificial intelligence, 3040.
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Cited By

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  • (2010)Assessing a virtual baby feeding training systemProceedings of the 7th International Conference on Computer Graphics, Virtual Reality, Visualisation and Interaction in Africa10.1145/1811158.1811165(37-44)Online publication date: 21-Jun-2010

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    Published In

    cover image ACM Conferences
    AAMAS '08: Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
    May 2008
    503 pages
    ISBN:9780981738123

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    International Foundation for Autonomous Agents and Multiagent Systems

    Richland, SC

    Publication History

    Published: 12 May 2008

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    Author Tags

    1. VR
    2. adaptive
    3. customizable
    4. feedback system
    5. simulators
    6. training

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    Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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    • (2010)Assessing a virtual baby feeding training systemProceedings of the 7th International Conference on Computer Graphics, Virtual Reality, Visualisation and Interaction in Africa10.1145/1811158.1811165(37-44)Online publication date: 21-Jun-2010

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