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Enhancing VR Based Serious Games and Simulations Design: Bayesian Knowledge Tracing and Pattern-Based Approaches

Published: 09 October 2023 Publication History

Abstract

This paper explores how Bayesian Knowledge Tracing (BKT) can be integrated with a pattern-based approach to enhance the development of virtual reality (VR) based serious games and simulations. These technologies allow for the prediction of user progress and the utilization of Artificial Intelligence (AI) methods to tailor difficulty levels based on individual needs. By combining BKT, pattern-based mechanics, and affective feedback, comprehensive data on user interactions, skills, and emotional states can be collected. This data enables the estimation of learners’ knowledge levels and the prediction of their progress.

References

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Clark C Abt. 1987. Serious games. University press of America.
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Ernest Adams and Joris Dormans. 2012. Game mechanics: advanced game design. New Riders.
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Jan K Argasiński and Paweł Węgrzyn. 2019. Affective patterns in serious games. Future Generation Computer Systems 92 (2019), 526–538.
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Staffan Bjork and Jussi Holopainen. 2004. Patterns in game design (game development series). Charles River Media, Inc.
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Iwona Grabska-Gradzińska and Jan K Argasiński. 2021. Graph-Based Method for the Interpretation of User Activities in Serious Games. In Human-Computer Interaction–INTERACT 2021: 18th IFIP TC 13 International Conference, Bari, Italy, August 30–September 3, 2021, Proceedings, Part III 18. Springer, 87–96.
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Radek Pelánek. 2017. Bayesian knowledge tracing, logistic models, and beyond: an overview of learner modeling techniques. User Modeling and User-Adapted Interaction 27 (2017), 313–350.
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Miguel Sicart. 2008. Defining game mechanics. Game studies 8, 2 (2008), 1–14.
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Yan Wang, Wei Song, Wei Tao, Antonio Liotta, Dawei Yang, Xinlei Li, Shuyong Gao, Yixuan Sun, Weifeng Ge, Wei Zhang, 2022. A systematic review on affective computing: Emotion models, databases, and recent advances. Information Fusion 83 (2022), 19–52.

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      cover image ACM Conferences
      VRST '23: Proceedings of the 29th ACM Symposium on Virtual Reality Software and Technology
      October 2023
      542 pages
      ISBN:9798400703287
      DOI:10.1145/3611659
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 09 October 2023

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      Author Tags

      1. Bayesian Knowledge Tracing
      2. design patterns
      3. serious games
      4. simulations
      5. virtual reality

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      • European Union?s Horizon 2020

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      VRST 2023

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      Overall Acceptance Rate 66 of 254 submissions, 26%

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