research-article

Rigor in Gaming for Design

Authors:

Jayanth Raghothama,

Sebastiaan MeijerAuthors Info & Claims

Simulation and Gaming, Volume 49, Issue 3

Pages 246 - 262

https://doi.org/10.1177/1046878118770220

Published: 01 June 2018 Publication History

Abstract

Background. The increasing cognizance of complexity in systems has brought into focus important questions about the methods and tools we use to address them. Games for design, where games and computer simulations are used together to create concrete and tangible designs in a pluralistic way, with multiple stakeholders within the game is a new area for simulation gaming.

Aim. In this article about gaming for design, embedded in the design science approach towards game science, we raise important philosophical questions about this new area, as well as attempt to address practical questions at the application level. We attempt to bridge the analytical science and design science approaches to games, and analyze them through meta-constructs of games such as fidelity, abstraction and resolution.

Results. Results from two applications, through analysis of game play and debriefing of game sessions from two applications, COMPLEX and ProtoWorld are gathered and analyzed to understand the respresentational requirements for simulations and games.

Conclusion. Results point to the need for rigor in gaming, particularly when modeling reference systems and rigor in assessing effects, both during game play and while debriefing. Results also point to expanded definitions of meta-constructs of games, as well as to their linked nature.

References

[1]

Argyris C., Schön D. A. 1974. Theory in practice: Increasing professional effectivenessVolume Vol. XIV . Oxford, England: Jossey-Bass.

[2]

Bannon L. J. 1995. From human factors to human actors: The role of psychology and human-computer interaction studies in system design. In Readings in Human-computer Interaction pp. pp.205-–214. Elsevier.

Digital Library

[3]

Batty M. 2012. Managing complexity, reworking prediction. Environmentand Planning B: Planning and Design, Volume 39 Issue 4, pp.607-–608.

[4]

Batty M. 2015. Models again: Their role in planning and prediction. Environment and Planning B: Planning and Design, Volume 42 Issue 2, pp.191-–194.

[5]

Buchanan R. 2001. Design research and the new learning. Design Issues, Volume 17 Issue 4, pp.3-–23.

[6]

Cross N. 2001. Designerly ways of knowing: design discipline versus design science. Design Issues, Volume 17 Issue 3, pp.49-–55.

[7]

Duke R. D., Geurts J. 2004. Policy games for strategic management. The Netherlands: Dutch University Press.

[8]

Ehn P. 2008</year>. Participation in design things. In Proceedings of the Tenth Anniversary Conference on Participatory Design, <year>2008 pp. pp.92-–101. Indianapolis, IN: Indiana University.

Digital Library

[9]

Gaver W. 2012. What should we expect from research through design? In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems pp. pp.937-–946. NewYork, NY, USA.ACM.

Digital Library

[10]

Giere R. N. 2004. How models are used to represent reality. Philosophy of Science, Volume 71 Issue 5, pp.742-–752.

[11]

Grogan P. T., Meijer S. A. 2017. Gaming methods in engineering systems research. Systems Engineering, Volume 20 Issue 6, pp.542-–552.

Digital Library

[12]

Klabbers J. H. G. 2009. The magic circle: Principles of gaming & simulation. Rotterdam, The Netherlands: Sense Publishers.

[13]

Klabbers J. H. G. 2003. Gaming and simulation: Principles of a science of design. Simulation & Gaming, Volume 34 Issue 4, pp.569-–591.

Digital Library

[14]

Klabbers J. H. G. 2018. On the architecture of game science. Simulation & Gaming, Volume 49, pp.207-–245.

Digital Library

[15]

Knuuttila T. 2005. Models, Representation, and Mediation. Philosophy of Science, Volume 72 Issue 5, pp.1260-–1271.

[16]

Krippendorff K. 2006. The semantic turn: A new foundation for design, 2006. Florida, USA: CRC Press.

[17]

Landers R. N., Auer E. M., Collmus A. B., Armstrong M. B. 2018. Gamification science, its history and future: Definitions and a research agenda. Simulation & Gaming, Volume 49, pp.315-–337.

Digital Library

[18]

Lee D. B. 1994. Retrospective on large-scale urban models. Journal of the American Planning Association, Volume 60 Issue 1, pp.35-–40.

[19]

Mayer I. 2012. Towards a comprehensive methodology for the research and evaluation of serious games. Procedia Computer Science, Volume 15, pp.233-–247.

[20]

Meijer S. 2015. The power of sponges: Comparing high-tech and low-tech gaming for innovation. Simulation & Gaming, Volume 46 Issue 5, pp.512-–535.

Digital Library

[21]

Morgan M. S., Morrison M. 1999. Models as mediators: Perspectives on natural and social science. Cambridge, UK: Cambridge University Press.

[22]

Nelson H. G., Stolterman E. 2003. The design way: Intentional change in an unpredictable world: Foundations and fundamentals of design competence. New Jersey, USA: Educational Technology.

Digital Library

[23]

Peters V., Vissers G., Heijne G. 1998. The validity of games. Simulation & Gaming, Volume 29 Issue 1, pp.20-–30.

[24]

Petersen A. C. 2012. Simulating nature: A philosophical study of computer-simulation uncertainties and their role in climate science and policy advice, Second Edition. Florida, USA: CRC Press.

[25]

Portugali J. 2012. Complexity theories of cities: Implications to urban planning. In Portugali J., Meyer H., Stolk E., Tan E. Eds., Complexity theories of cities have come of age pp. pp.221-–244. Berlin, Germany: Springer.

[26]

Raghothama J., Meijer S. 2015a. Gaming, urban planning and transportation design process. In Geertman S., Ferreira. J., Goodspeed R., Stillwell J. Eds., Planning support systems and smart cities pp. pp.297-–312. Springer International Publishing.

[27]

Raghothama J., Meijer S. 2015b. What do policy makers talk about when talking about simulations? In Proceedings of the 46Th International Simulation and Gaming Association Conference, Kyoto, Japan.

[28]

Raghothama J., Meijer S. 2015c. Distributed, integrated and interactive traffic simulations. In Proceedings of the 2015 Winter Simulation Conference pp. pp.1693-–1704. Huntington Beach, CA, USA: IEEE Press.

Digital Library

[29]

Rittel H. W. J., Webber M. M. 1973. Dilemmas in a general theory of planning. Policy Sciences, Volume 4 Issue 2, pp.155-–169.

[30]

Salen K., Zimmerman E. 2004. Rules of Play: Game Design Fundamentals. Cambridge, MA, USA: MIT Press.

Digital Library

[31]

Schön D. 1983. The reflective practitioner. New York, NY, USA: Basic Books.

[32]

Simon H. A. 1996. The sciences of the artificial. Cambridge, MA, USA: MIT Press.

Digital Library

[33]

Stolterman E. 2008. The nature of design practice and implications for interaction design research. International Journal of Design, Volume 2 Issue 1. Retrieved from <ext-link ext-link-type="uri" xlink:href="http://ijdesign.org/index.php/IJDesign/article/view/240/148">http://ijdesign.org/index.php/IJDesign/article/view/240/148</ext-link>

[34]

Waern A., Back J. 2017. Activity as the ultimate particular of interaction design. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems pp. pp.3390-–3402. New York, NY: ACM.

Digital Library

[35]

Wardaszko M. 2018. Interdisciplinary approach to complexity in simulation game design and implementation. Simulation & Gaming, Volume 49, pp.263-–278.

Digital Library

Cited By

Modirrousta-Galian APrike THigham PHinsch MNurse SBelabbas SBijak J(2024)Exploring the Potential of Using a Text-Based Game to Inform Simulation Models of Risky Migration DecisionsSimulation and Gaming10.1177/1046878124124292555:4(716-735)Online publication date: 1-Aug-2024
https://dl.acm.org/doi/10.1177/10468781241242925
Kriz WHarviainen JClapper T(2018)Game ScienceSimulation and Gaming10.1177/104687811878163149:3(199-206)Online publication date: 1-Jun-2018
https://dl.acm.org/doi/10.1177/1046878118781631
Klabbers J(2018)On the Architecture of Game ScienceSimulation and Gaming10.1177/104687811877970649:3(356-372)Online publication date: 1-Jun-2018
https://dl.acm.org/doi/10.1177/1046878118779706

Rigor in Gaming for Design
1. Applied computing
2. Software and its engineering
  1. Software organization and properties
    1. Contextual software domains
      1. Virtual worlds software

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cover image Simulation and Gaming

Simulation and Gaming Volume 49, Issue 3

6 2018

174 pages

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Copyright © © The Authors 2018.

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Sage Publications, Inc.

United States

Publication History

Published: 01 June 2018

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Cited By

Modirrousta-Galian APrike THigham PHinsch MNurse SBelabbas SBijak J(2024)Exploring the Potential of Using a Text-Based Game to Inform Simulation Models of Risky Migration DecisionsSimulation and Gaming10.1177/1046878124124292555:4(716-735)Online publication date: 1-Aug-2024
https://dl.acm.org/doi/10.1177/10468781241242925
Kriz WHarviainen JClapper T(2018)Game ScienceSimulation and Gaming10.1177/104687811878163149:3(199-206)Online publication date: 1-Jun-2018
https://dl.acm.org/doi/10.1177/1046878118781631
Klabbers J(2018)On the Architecture of Game ScienceSimulation and Gaming10.1177/104687811877970649:3(356-372)Online publication date: 1-Jun-2018
https://dl.acm.org/doi/10.1177/1046878118779706

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