Development of a game for hypertension using the Design Science Research methodology: balancing Science and Art

• Luma Wanderley de Oliveira UFG
• Saulo Soares de Oliveira UFG
• Silvana de Lima Vieira dos Santos UFG
• Sérgio Teixeira de Carvalho UFG

DOI: https://doi.org/10.5753/sbgames_estendido.2021.19724

Abstract

In the field of applied computing, e.g. in the development of games applied to health, there is an increasing intertwining of two distinct fields, "Science" and "Art". The Design Science Research methodology can contribute by directing with greater scientific rigor of the development of research focused on technology. The main goal of this work is to present and discuss the use of the DSR methodology in an applied computing research, in which the developed artifact is a applied game to health. A DSR model was instantiated and development cycles were defined. There was a brief discussion about adaptations that this model could undergo for research focused on game design for applied game development.

Keywords: Design Science Research, DSR, Applied games, Serious games, Hypertension

References

P. J. Denning, “Is computer science science?” Communications of the ACM, vol. 48, no. 4, pp. 27–31, 2005.

A. Gelain, A. T. Y. Watanabe, M. S. Fouto, R. Bosse, and M. da Silva Hounsell, “Uma breve história da computação aplicada no brasil,” Revista Brasileira de Computação Aplicada, vol. 6, no. 2, pp. 123–135, 2014.

A. Pakarinen and S. Salanterä, “The use of gaming in healthcare,” in Developing and Utilizing Digital Technology in Healthcare for Assessment and Monitoring. Springer, 2020, pp. 115–125.

A. T. Bayrak, “Compassionate game design: A holistic perspective for a player-centric game design paradigm for games4health,” International Journal on Advances in Intelligent Systems, vol. 13, no. 1, pp. 1–18

J. E. MUñOZ and K. Dautenhahn, “Robo ludens: A game design taxonomy for multiplayer games using socially interactive robots,” ACM Transactions on Human-Robot Interaction (THRI), vol. 10, no. 4, pp. 1–28, 2021

M. Pimentel, D. Filippo, and T. M. Santos, “Design science research: pesquisa científica atrelada ao design de artefatos,” RE@D-Revista de Educação a Distância e eLearning, vol. 3, no. 1, pp. 37–61, 2020

V. K. Vaishnavi and W. Kuechler, Design science research methods and patterns: innovating information and communication technology. Crc Press, 2015.

W. Rochadel, “As ciências do artificial em uma abordagem entre o conhecimento e a tecnologia,” Seminário de Pesquisa, Pós-Graduação e Inovação, 2016.

H. A. Simon, “Cognitive science: The newest science of the artificial,” Cognitive science, vol. 4, no. 1, pp. 33–46, 1980.

A. Dresch, D. P. Lacerda, and J. A. V. A. Júnior, Design science research: método de pesquisa para avanço da ciência e tecnologia. Bookman Editora, 2015.

K. Peffers, T. Tuunanen, M. A. Rothenberger, and S. Chatterjee, “A design science research methodology for information systems research,” Journal of management information systems, vol. 24, no. 3, pp. 45–77, 2007.

B. P. Zeigler, Y. Moon, D. Kim, and G. Ball, “The devs environment for high-performance modeling and simulation,” IEEE Computational Science and Engineering, vol. 4, no. 3, pp. 61–71, 1997.

B. P. Zeigler, A. Muzy, and E. Kofman, Theory of modeling and simulation: discrete event & iterative system computational foundations. Academic press, 2018.

D. C. Schmidt and C. O’Ryan, “Patterns and performance of distributed real-time and embedded publisher/subscriber architectures,” Journal of Systems and Software, vol. 66, no. 3, pp. 213–223, 2003.

J. Schell, The Art of Game Design: A Book of Lenses, 2nd ed. CRC Press, 2015.

W. E. Riggs, “The delphi technique: An experimental evaluation,” Technological Forecasting and Social Change, vol. 23, no. 1, pp. 89–94, 1983. [Online]. Available: https://www.sciencedirect.com/science/article/pii/0040162583900732