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

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    Abstract

    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
    DOIs
    Publication statusPublished - 2020
    EventFoundations of Digital Games 2020 - , Malta
    Duration: 15 Sept 202018 Sept 2020
    http://fdg2020.org/

    Publication series

    NameFDG '20
    PublisherAssociation for Computing Machinery

    Conference

    ConferenceFoundations of Digital Games 2020
    Abbreviated titleFDG 2020
    Country/TerritoryMalta
    Period15/09/2018/09/20
    Internet address

    Keywords

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

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