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

Tilburg University

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

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	FDG '20: International Conference on the Foundations of Digital Games
Editors	Georgios N. Yannakakis, Antonios Liapis, Penny Kyburz, Vanessa Volz, Foaad Khosmood, Phil Lopes
Place of Publication	New York
Publisher	Association for Computing Machinery
Pages	1-4
Number of pages	4
ISBN (Print)	978-1-4503-8807-8
DOIs	https://doi.org/10.1145/3402942.3403006
Publication status	Published - 15 Sept 2020
Event	15th International Conference on the Foundations of Digital Games, FDG 2020 - Bugibba, Malta Duration: 15 Sept 2020 → 18 Sept 2020

Conference

Conference	15th International Conference on the Foundations of Digital Games, FDG 2020
Country/Territory	Malta
City	Bugibba
Period	15/09/20 → 18/09/20

Keywords

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

Access to Document

10.1145/3402942.3403006

3402942.3403006Final published version, 3.09 MBLicence: Taverne

Cite this

Mavromoustakos-Blom, P., Bakkes, S., & Spronck, P. (2020). Multi-Modal Study of the Effect of Time Pressure in a Crisis Management Game. In G. N. Yannakakis, A. Liapis, P. Kyburz, V. Volz, F. Khosmood, & P. Lopes (Eds.), FDG '20: International Conference on the Foundations of Digital Games (pp. 1-4). Article 86 Association for Computing Machinery. https://doi.org/10.1145/3402942.3403006

Mavromoustakos-Blom, Paris ; Bakkes, Sander ; Spronck, Pieter. / Multi-Modal Study of the Effect of Time Pressure in a Crisis Management Game. FDG '20: International Conference on the Foundations of Digital Games. editor / Georgios N. Yannakakis ; Antonios Liapis ; Penny Kyburz ; Vanessa Volz ; Foaad Khosmood ; Phil Lopes. New York : Association for Computing Machinery, 2020. pp. 1-4

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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' responses to stressful conditions and manipulating player stress levels to provide personalised training scenarios.",

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author = "Paris Mavromoustakos-Blom and Sander Bakkes and Pieter Spronck",

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booktitle = "FDG '20: International Conference on the Foundations of Digital Games",

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Mavromoustakos-Blom, P, Bakkes, S & Spronck, P 2020, Multi-Modal Study of the Effect of Time Pressure in a Crisis Management Game. in GN Yannakakis, A Liapis, P Kyburz, V Volz, F Khosmood & P Lopes (eds), FDG '20: International Conference on the Foundations of Digital Games., 86, Association for Computing Machinery, New York, pp. 1-4, 15th International Conference on the Foundations of Digital Games, FDG 2020, Bugibba, Malta, 15/09/20. https://doi.org/10.1145/3402942.3403006

Multi-Modal Study of the Effect of Time Pressure in a Crisis Management Game. / Mavromoustakos-Blom, Paris; Bakkes, Sander; Spronck, Pieter.
FDG '20: International Conference on the Foundations of Digital Games. ed. / Georgios N. Yannakakis; Antonios Liapis; Penny Kyburz; Vanessa Volz; Foaad Khosmood; Phil Lopes. New York: Association for Computing Machinery, 2020. p. 1-4 86.

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

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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.

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KW - Game-based training

KW - multi-modal player modeling

KW - serious games

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BT - FDG '20: International Conference on the Foundations of Digital Games

A2 - Yannakakis, Georgios N.

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A2 - Lopes, Phil

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Y2 - 15 September 2020 through 18 September 2020

ER -

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

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