TY - GEN
T1 - Exploring a Mixed Method Approach: Simulation Games and Q Methodology
AU - Kuijpers, Anique
AU - Lukosch, Heide
AU - Verbraeck, Alexander
N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Game mechanics
KW - Mixed method approach
KW - Q methodology
KW - Simulation games
UR - https://link.springer.com/chapter/10.1007%2F978-3-030-34350-7_50
UR - http://www.scopus.com/inward/record.url?scp=85082491052&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-34350-7_50
DO - 10.1007/978-3-030-34350-7_50
M3 - Conference contribution
SN - 978-3-030-34349-1
VL - 11899
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 522
EP - 529
BT - Games and Learning Alliance- 8th International Conference, GALA 2019, Proceedings
A2 - Liapis, Antonios
A2 - Yannakakis, Georgios N.
A2 - Gentile, Manuel
A2 - Ninaus, Manuel
PB - Springer
T2 - 8th International Conference on Games and Learning Alliance, GALA 2019
Y2 - 27 November 2019 through 29 November 2019
ER -