Dynamic game adaptation based on detection of behavioral patterns in the player learning curve

D. Vassileva, B. Bontchev

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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Abstract

In educational serious games, the learning curve of a player represents his/her progress in acquiring cognitive abilities and new knowledge necessary for solving the game challenges. Hence, it is very important for an adaptive serious game to have a mechanism for detection of patterns of player´s learning curve in playing time. The paper presents the application of a game adaptation method based on automatic and dynamically detection of specific learning curves at runtime within a 3D video game of car driving in various weather conditions. The method uses a client-side software component called “Player-centric rule-and-pattern-based adaptation asset” and developed within the scope of the RAGE (Realising and Applied Gaming Ecosystem) H2020 project. The component is incorporated into a 3D car driving video game in order to enable a dynamic detection of different patterns of player performance. It allows the video game scenario to be adapted to each player by providing appropriately for him/her challenges and game features. We carried out a practical experiment with students from Sofia University, Bulgaria, where we found that adaptation of game difficulty by applying the RAGE software component resulted to improved game playability.
Original languageEnglish
Title of host publicationProceedings of the 10th Annual International Conference on Education and New Learning Technologies
Subtitle of host publicationEDULEARN2018
Place of PublicationPalma de Mallorca
PublisherIATED Academy
Pages8182-8191
ISBN (Electronic)978-84-09-02709-5
ISBN (Print)978-84-09-02709-5
DOIs
Publication statusPublished - 2018
Externally publishedYes
EventEDULearn18: 10th annual International Conference on Education and New Learning Technologies - Mallorca, Palma, Spain
Duration: 2 Jul 20184 Jul 2018
https://iated.org/edulearn18/

Conference

ConferenceEDULearn18
Abbreviated titleEDULearn18
CountrySpain
CityPalma
Period2/07/184/07/18
Internet address

Keywords

  • game adaptation
  • player learning curve
  • detection
  • behaviour pattern
  • game component
  • RAGE

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  • Projects

    Rage: Realising an Applied Gaming Eco-system

    Westera, W., Georgiadis, K., Saveski, G., van Lankveld, G., Bahreini, K., van der Vegt, W., Berkhout, J., Nyamsuren, E., Kluijfhout, E. & Nadolski, R.

    1/02/1531/07/19

    Project: Research

    Cite this

    Vassileva, D., & Bontchev, B. (2018). Dynamic game adaptation based on detection of behavioral patterns in the player learning curve. In Proceedings of the 10th Annual International Conference on Education and New Learning Technologies: EDULEARN2018 (pp. 8182-8191). IATED Academy. https://doi.org/10.21125/edulearn.2018.1905