Multi-Modal Study of the Effect of Time Pressure in a Crisis Management Game

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In this paper, we study the effect of time pressure on player behaviour during a dilemma-based crisis management game. We employ in-game action tracking, physiological sensor data and self-reporting in order to create multi-modal predictive models of player stress responses during a crisis management scenario. We were able to predict the experimental condition (time pressure vs. no time pressure) with 84.5% accuracy, using a game-only feature set. However, lower accuracy was observed when physiological sensor data was used for the same task. The method presented in this paper can be employed in crisis management training, aiming at assessing players’ responses to stressful conditions and manipulating player stress levels to provide personalised training scenarios.
Original languageEnglish
Title of host publicationInternational Conference on the Foundations of Digital Games
Place of PublicationNew York, NY, USA
PublisherAssociation for Computing Machinery
ISBN (Print)9781450388078
Publication statusPublished - 2020
EventFoundations of Digital Games 2020 - , Malta
Duration: 15 Sept 202018 Sept 2020

Publication series

NameFDG '20
PublisherAssociation for Computing Machinery


ConferenceFoundations of Digital Games 2020
Abbreviated titleFDG 2020
Internet address


  • multi-modal player modeling
  • serious games
  • crisis management
  • Game-based training


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