Kuijpers, Anique, Heide Lukosch, & Alexander Verbraeck (2019, November). Exploring a mixed method approach: Simulation games and Q methodology. In Antonios Liapis, Georgios N. Yannakakis, Manuel Gentile, & Manuel Ninaus (Eds.), Games and learning alliance (8th International Conference, GALA 2019, Athens, Greece, November 27–29, 2019, Proceedings). Lecture notes in computer science (Vol. 11899, pp. 522-529). Cham, Switzerland. (Chapter Link: https://doi.org/10.1007/978-3-030-34350-7_50). Print ISBN 978-3-030-34349-1, Online ISBN 978-3-030-34350-7.
Abstract: In this paper we explore the possibilities to combine two research methods we regard as being very useful when interacting with stakeholders in complex systems. We discuss a mixed research methods approach, based on the Q methodology and a simulation game. In a game design process, translating the real or reference system into the game design is an intricate process and rather challenging due to the complexity of today’s societal systems. As shown by various studies, different data techniques are proposed in order to translate reality aspects. One of the proposed data gathering techniques in combination with simulation games is Q methodology. Q methodology is a suitable method to retrieve social perspectives of stakeholders on a particular topic. Yet it is still elusive how the results of a Q methodology can be used in a game design process. In this paper, we explore the possibilities how to combine the two methods and how to translate the results of the Q analysis into a game design concept. In the context of a case within the domain of transport and logistics, we discuss how such mixed research methods approach could look like. We conclude with a future outlook on our research.
Anique Kuijpers <email@example.com> is with the Faculty of Technology, Policy and Management, Delft University of Technology, Delft, The Netherlands.