Analyzing Player Engagement for Biofeedback Games

Lamana Mulaffer, M. Abdullah Zafar, Beena Ahmed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Stress is currently one of society's dominant health problems with far-reaching effects on human health. Traditional methods of stress therapy are expensive and have low adherence levels. There is growing research in the area of biofeedback (BF) games, in order to provide cheaper and more engaging alternatives. In our previous work, we presented three BF games, and showed how these games helped manage stress better than traditional stress therapy activities, like Paced Breathing. Given the crucial role engagement can play in determining the effectiveness of learning stress self-regulation in our biofeedback games, in this paper we investigate how best to quantify engagement physiologically. To achieve this, we pursue two main goals: 1) provide a framework for evaluating player engagement, and 2) develop machine learning models to predict levels of engagement during these stress therapy activities. Our main contributions are to present a metric for engagement based on physiological profiles, provide a benchmark for engagement levels and present a combination of evaluation criteria to determine if a BF game session was Highly Engaged (HE) or Poorly Engaged (PE). Additionally, for each evaluation criterion, we build a Support Vector Machine (SVM) to predict if the BF game session can be labelled as HE or PE. Our work, especially relating to levels of engagement, can easily be generalized to analyzing other physiological profiles using breathing rate and Heart Rate Variability (HRV).

Original languageEnglish
Title of host publication2019 IEEE 7th International Conference on Serious Games and Applications for Health, SeGAH 2019
EditorsDuarte Duque, Jeremy White, Nuno Rodrigues, Joao L. Vilaca, Nuno Dias
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728103006
DOIs
Publication statusPublished - Aug 2019
Event7th IEEE International Conference on Serious Games and Applications for Health, SeGAH 2019 - Kyoto, Japan
Duration: 5 Aug 20197 Aug 2019

Publication series

Name2019 IEEE 7th International Conference on Serious Games and Applications for Health, SeGAH 2019

Conference

Conference7th IEEE International Conference on Serious Games and Applications for Health, SeGAH 2019
CountryJapan
CityKyoto
Period5/8/197/8/19

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ASJC Scopus subject areas

  • Health Informatics
  • Health(social science)
  • Computer Science Applications
  • Human-Computer Interaction
  • Media Technology

Cite this

Mulaffer, L., Zafar, M. A., & Ahmed, B. (2019). Analyzing Player Engagement for Biofeedback Games. In D. Duque, J. White, N. Rodrigues, J. L. Vilaca, & N. Dias (Eds.), 2019 IEEE 7th International Conference on Serious Games and Applications for Health, SeGAH 2019 [8882481] (2019 IEEE 7th International Conference on Serious Games and Applications for Health, SeGAH 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SeGAH.2019.8882481