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 |
|---|---|
| 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 |
|---|---|
| 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
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver