Exploring a Mixed Method Approach: Simulation Games and Q Methodology

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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.
Original languageEnglish
Title of host publicationGames and Learning Alliance- 8th International Conference, GALA 2019, Proceedings
EditorsAntonios Liapis, Georgios N. Yannakakis, Manuel Gentile, Manuel Ninaus
PublisherSpringer
Pages522-529
Number of pages8
Volume11899
ISBN (Electronic)978-3-030-34350-7
ISBN (Print)978-3-030-34349-1
DOIs
Publication statusPublished - 2019
Event8th International Conference on Games and Learning Alliance, GALA 2019 - Athens, Greece
Duration: 27 Nov 201929 Nov 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11899 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Games and Learning Alliance, GALA 2019
Country/TerritoryGreece
CityAthens
Period27/11/1929/11/19

Bibliographical note

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.

Keywords

  • Game mechanics
  • Mixed method approach
  • Q methodology
  • Simulation games

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