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

Paris Mavromoustakos-Blom; Sander Bakkes; Pieter Spronck

doi:10.1145/3402942.3403006

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

Paris Mavromoustakos-Blom, Sander Bakkes, Pieter Spronck

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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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 language	English
Title of host publication	International Conference on the Foundations of Digital Games
Place of Publication	New York, NY, USA
Publisher	Association for Computing Machinery
ISBN (Print)	9781450388078
DOIs	https://doi.org/10.1145/3402942.3403006
Publication status	Published - 2020
Event	Foundations of Digital Games 2020 - , Malta Duration: 15 Sept 2020 → 18 Sept 2020 http://fdg2020.org/

Publication series

Name	FDG '20
Publisher	Association for Computing Machinery

Conference

Conference	Foundations of Digital Games 2020
Abbreviated title	FDG 2020
Country/Territory	Malta
Period	15/09/20 → 18/09/20
Internet address	http://fdg2020.org/

Keywords

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

Access to Document

10.1145/3402942.3403006

MavromoustakosFDG2020

Cite this

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title = "Multi-Modal Study of the Effect of Time Pressure in a Crisis Management Game",

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{\textquoteright} responses to stressful conditions and manipulating player stress levels to provide personalised training scenarios.",

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Multi-Modal Study of the Effect of Time Pressure in a Crisis Management Game. / Mavromoustakos-Blom, Paris; Bakkes, Sander; Spronck, Pieter.
International Conference on the Foundations of Digital Games. New York, NY, USA: Association for Computing Machinery, 2020. (FDG '20).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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AU - Spronck, Pieter

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N2 - 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.

AB - 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.

KW - multi-modal player modeling

KW - serious games

KW - crisis management

KW - Game-based training

U2 - 10.1145/3402942.3403006

DO - 10.1145/3402942.3403006

M3 - Conference contribution

SN - 9781450388078

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BT - International Conference on the Foundations of Digital Games

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T2 - Foundations of Digital Games 2020

Y2 - 15 September 2020 through 18 September 2020

ER -

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

Abstract

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Keywords

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