Abstract
We present a qualitative model which can be used to encode free-text data gathered from game jam participations. Previously, the literature has focused on aggregated quantitative results, which left a gap in qualitative research, in particular methods for understanding game jam participations. Our model that we call ‘enlightened jammer’ comprises three pillars of intrinsic drives: inspiration, reward salience, and the mode of deliberate practice. From the three pillars we form nine attributes, which can be used to encode game jam questionnaires, interviews and self-reported surveys. In this paper we outline the motivations for a qualitative model, disseminate the nine attributes, and discuss our observations after encoding questionnaires from participants in two game jams. Additionally, we propose a set of seven archetypes summarised by the enlightened jammer model for understanding game jam participatory patterns.
Original language | English |
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Title of host publication | Proceedings of DiGRAA 2016: Tensions |
Publisher | Digital Games Research Association (DIGRA) |
Number of pages | 9 |
Publication status | Published - 2016 |
Externally published | Yes |
Event | 2016 DiGRAA National Conference CFP - Swinburne University of Technology, Hawthorn, Australia Duration: 17 Nov 2016 → 18 Nov 2016 http://digraa.org/2016-digra-australia-conference/ |
Conference
Conference | 2016 DiGRAA National Conference CFP |
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Country/Territory | Australia |
City | Hawthorn |
Period | 17/11/16 → 18/11/16 |
Internet address |
Keywords
- game jams
- intrinsic drive
- motivation
- reward
- feedback
- game development process