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Personalized crisis management training on a tablet

Published: 07 August 2018 Publication History

Abstract

In this paper, we propose a framework for personalised crisis management training through the use of an applied game. The framework particularly focuses on ubiquitously assessing and manipulating player stress levels during training, and evaluating player performance by providing personalised feedback. To achieve these goals, the framework leverages techniques for multi-modal player modeling through physiological sensors, in-game events and self-report data. Specifically, the present paper (1) discusses design decisions for the personalised crisis management training framework, and (2) presents the game prototype with which user-studies will be performed. Presently, the game prototype is being developed in close collaboration with actual crisis management experts.

References

[1]
Hussein Al Osman, Haiwei Dong, and Abdulmotaleb El Saddik. 2016. Ubiquitous biofeedback serious game for stress management. IEEE Access 4 (2016), 1274--1286.
[2]
Linda Katrine Andresen and Erik G Nilsson. 2014. Finding the best devices for emergency responders in Norway-an empirical study. In ISCRAM.
[3]
Ivon Arroyo, David G Cooper, Winslow Burleson, Beverly Park Woolf, Kasia Muldner, and Robert Christopherson. 2009. Emotion Sensors Go To School. In AIED, Vol. 200. 17--24.
[4]
Liz Bacon, L MacKinnon, Amedeo Cesta, and Gabriella Cortellessa. 2013. Developing a smart environment for crisis management training. Journal of Ambient Intelligence and Humanized Computing 4, 5 (2013), 581--590.
[5]
Liz Bacon, Lachlan MacKinnon, and David Kananda. 2017. Supporting real-time decision-making under stress in an online training environment. IEEE Revista Iberoamericana de Tecnologias del Aprendizaje 12, 1 (2017), 52--61.
[6]
Jeremy N Bailenson, Emmanuel D Pontikakis, Iris B Mauss, James J Gross, Maria E Jabon, Cendri AC Hutcherson, Clifford Nass, and Oliver John. 2008. Real-time classification of evoked emotions using facial feature tracking and physiological responses. International journal of human-computer studies 66, 5 (2008), 303--317.
[7]
Sander C. J. Bakkes, Chek Tien Tan, and Yusuf Pisan. 2012. Personalised gaming. Journal: Creative Technologies 3 (2012).
[8]
Paris Mavromoustakos Blom, Sander Bakkes, Chek Tien Tan, Shimon Whiteson, Diederik M Roijers, Roberto Valenti, Theo Gevers, et al. 2014. Towards Personalised Gaming via Facial Expression Recognition. In AIIDE.
[9]
Holger Bracker, Bernhard Schneider, Christian Rinner, Friederike Schneider, Johannes Sautter, Martin Scholl, and Maria Egly. 2014. An innovative approach for tool-based field Exercise-support to gain improved preparedness in emergency response. In Proceedings of the 9th Future SecurityResearch Conference, Berlin, Germany. Verlag. Retrieved from http://www.crismaproject.eu/docs/FuSec2014_v13.pdf.
[10]
Adrian Burns, Barry R Greene, Michael J McGrath, Terrance J O'Shea, Benjamin Kuris, Steven M Ayer, Florin Stroiescu, and Victor Cionca. 2010. SHIMMERâĎć-A wireless sensor platform for noninvasive biomedical research. IEEE Sensors Journal 10, 9 (2010), 1527--1534.
[11]
Margaret T Crichton. 2009. Improving team effectiveness using tactical decision games. Safety Science 47, 3 (2009), 330--336.
[12]
Johan de Heer and Paul Porskamp. 2017. Human behavior analytics from microworlds: the cyber security game. In International Conference on Applied Human Factors and Ergonomics. Springer, 173--184.
[13]
Empatica. {n. d.}. E4 wristband. https://www.empatica.com/e4-wristband. ({n. d.}).
[14]
Coralie Girard, Jean Ecalle, and Annie Magnan. 2013. Serious games as new educational tools: how effective are they? A meta-analysis of recent studies. Journal of Computer Assisted Learning 29, 3 (2013), 207--219.
[15]
Andreas Haag, Silke Goronzy, Peter Schaich, and Jason Williams. 2004. Emotion recognition using bio-sensors: First steps towards an automatic system. In Tutorial and research workshop on affective dialogue systems. Springer, 36--48.
[16]
Joseph V Henderson, Richard K Pruett, Adam R Galper, and Wayne S Copes. 1986. Interactive videodisc to teach combat trauma life support. Journal of medical systems 10, 3 (1986), 271--276.
[17]
Christoffer Holmgard, Georgios N Yannakakis, Karen-Inge Karstoft, and Henrik Steen Andersen. 2013. Stress detection for ptsd via the startlemart game. In Affective Computing and Intelligent Interaction (ACII), 2013 Humaine Association Conference on. IEEE, 523--528.
[18]
Christoffer Holmgård, Georgios N Yannakakis, Hector P Martínez, Karen-Inge Karstoft, and Henrik Steen Andersen. 2015. Multimodal ptsd characterization via the startlemart game. Journal on Multimodal User Interfaces 9, 1 (2015), 3--15.
[19]
Karl M Kapp. 2012. The gamification of learning and instruction: game-based methods and strategies for training and education. John Wiley & Sons.
[20]
Kyung Hwan Kim, Seok Won Bang, and Sang Ryong Kim. 2004. Emotion recognition system using short-term monitoring of physiological signals. Medical and biological engineering and computing 42, 3 (2004), 419--427.
[21]
CL Lisetti. 1998. Affective computing. (1998).
[22]
Lachlan Mackinnon, Liz Bacon, Gabriella Cortellessa, and Amedeo Cesta. 2013. Using emotional intelligence in training crisis managers: the Pandora approach. International Journal of Distance Education Technologies (IJDET) 11, 2 (2013), 66--95.
[23]
Regan L Mandryk, Kori M Inkpen, and Thomas W Calvert. 2006. Using psychophysiological techniques to measure user experience with entertainment technologies. Behaviour & information technology 25, 2 (2006), 141--158.
[24]
Hector P Martinez, Georgios N Yannakakis, and John Hallam. 2014. DonâĂŹt classify ratings of affect; rank them! IEEE transactions on affective computing 5, 3 (2014), 314--326.
[25]
M. Mateas and A. Stern. 2005. Procedural authorship: A case-study of the interactive drama Façade. Digital Arts and Culture (DAC) (2005).
[26]
Christine M Pearson and Judith A Clair. 1998. Reframing crisis management. Academy of management review 23, 1 (1998), 59--76.
[27]
Christopher Pedersen, Julian Togelius, and Georgios N Yannakakis. 2010. Modeling player experience for content creation. IEEE Transactions on Computational Intelligence and AI in Games 2, 1 (2010), 54--67.
[28]
Maria Polese. {n. d.}. Improving emergency preparedness with simulation of cascading events scenarios. ({n. d.}).
[29]
Elaine M Raybourn, E Deagle, Kip Mendini, and Jerry Heneghan. 2005. Adaptive thinking & leadership simulation game training for special forces officers. In ITSEC 2005 Proceedings, Interservice/Industry Training, Simulation and Education Conference Proceedings, November.
[30]
Mark Riedl, Cesare J Saretto, and R Michael Young. 2003. Managing interaction between users and agents in a multi-agent storytelling environment. In Proceedings of the second international joint conference on Autonomous agents and multiagent systems. ACM, 741--748.
[31]
M. Riedl and A. Stern. 2006. Believable agents and intelligent story adaptation for interactive storytelling. Technologies for Interactive Digital Storytelling and Entertainment (2006), 1--12.
[32]
Yuan Shi, Minh Hoai Nguyen, Patrick Blitz, Brian French, Scott Fisk, Fernando De la Torre, Asim Smailagic, Daniel P Siewiorek, Mustafa alâĂŹAbsi, Emre Ertin, et al. 2010. Personalized stress detection from physiological measurements. In International symposium on quality of life technology. 28--29.
[33]
Phyllis K Stein, Matthew S Bosner, Robert E Kleiger, and Brooke M Conger. 1994. Heart rate variability: a measure of cardiac autonomic tone. American heart journal 127, 5 (1994), 1376--1381.
[34]
Michael E Stiso, Aslak Wegner Eide, and Antoine Pultier. 2015. A foray into the use of serious games in controlled research on crisis management. In ISCRAM.
[35]
Dirk Stolk, Daniel Alexandrian, Begoña Gros, and Roberto Paggio. 2001. Gaming and multimedia applications for environmental crisis management training. Computers in Human Behavior 17, 5--6 (2001), 627--642.
[36]
J. Tanenbaum and A. Tomizu. 2008. Narrative Meaning Creation in Interactive Storytelling. International Journal of Computational Science 2, 1 (2008).
[37]
Guido Te Brake, Tjerk de Greef, Jasper Lindenberg, Jouke Rypkema, and Nanja Smets. 2006. Developing adaptive user interfaces using a game-based simulation environment. Proceedings of ISCRAM (2006).
[38]
F Tena-Chollet, J Tixier, A Dandrieux, and P Slangen. 2017. Training decision-makers: Existing strategies for natural and technological crisis management and specifications of an improved simulation-based tool. Safety science 97 (2017), 144--153.
[39]
J. Togelius, R. De Nardi, and S.M. Lucas. 2007. Towards automatic personalised content creation for racing games. In CIG 2007. 252--259.
[40]
Josine G. M. van de Ven, Hester Stubbé, and Micah Hrehovcsik. 2014. Gaming for Policy Makers: It's Serious!. In Games and Learning Alliance, Alessandro De Gloria (Ed.). Springer International Publishing, Cham, 376--382.
[41]
Erik D Van Der Spek, Tatiana Sidorenkova, Paul Porskamp, and Matthias Rauterberg. 2014. The effect of familiar and fantasy aesthetics on learning and experience of serious games. In International Conference on Entertainment Computing. Springer, 133--138.
[42]
Johannes Wagner, Jonghwa Kim, and Elisabeth André. 2005. From physiological signals to emotions: Implementing and comparing selected methods for feature extraction and classification. In Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on. IEEE, 940--943.
[43]
Georgios N Yannakakis and John Hallam. 2008. Entertainment modeling through physiology in physical play. International Journal of Human-Computer Studies 66, 10 (2008), 741--755.
[44]
Georgios N Yannakakis, Pieter Spronck, Daniele Loiacono, and Elisabeth André. 2013. Player modeling. In Dagstuhl Follow-Ups, Vol. 6. Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik.

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cover image ACM Other conferences
FDG '18: Proceedings of the 13th International Conference on the Foundations of Digital Games
August 2018
503 pages
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 August 2018

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Author Tags

  1. crisis management
  2. game-based training
  3. multimodal player modeling
  4. personalized gaming
  5. serious games

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  • Research-article

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  • Netherlands Organisation for Scientific Research (NWO)

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FDG '18
FDG '18: Foundations of Digital Games 2018
August 7 - 10, 2018
Malmö, Sweden

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FDG '18 Paper Acceptance Rate 39 of 95 submissions, 41%;
Overall Acceptance Rate 152 of 415 submissions, 37%

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