In light of the growing concern about the psychological impact of computer, console and handheld electronic games (digital games), this research explores the thoughts and thinking strategies of game players (gamers) during gameplay. It attempts to achieve this goal by means of using a form of verbal analysis based on the 'think out loud' method of Protocol Analysis. The recordings of gamers engaged in the 'think out loud' exercise during gameplay at a gaming networking session were transcribed and analyzed. These gamers participated in two different genres of games. The fist was a First-Person Shooter (FPS) and the second a Real Time Strategy (RTS). The content of the different transcripts were categorized using cognitive models and theories. From this process a nine category classification framework was developed. By dividing identified thought segments into these different categories, a quantitative frequency analysis was possible. This supplemented the overall qualitative exploration of gamers’ thoughts and thinking strategies. The results of this study indicate that different genres of games stimulate different concentrations of different types of thoughts. Overall these concentrations numerically classify gaming as an activity in terms of perception, cognition, emotion, and self immersion. It also indicated that each genre has its own unique influence and that each player is uniquely engaged. Besides providing insight into gamers’ thoughts and thinking strategies, this study also provides evidence that an adapted form of verbal analysis is suitable in exploring a visually absorbing activity such as gaming. / Dissertation (MA)--University of Pretoria, 2006. / Psychology / unrestricted
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:up/oai:repository.up.ac.za:2263/29577 |
| Date | 19 November 2007 |
| Creators | Van Coppenhagen, Christian |
| Contributors | Maree, David J.F., chrisvc@defiance.co.za |
| Publisher | University of Pretoria |
| Source Sets | South African National ETD Portal |
| Detected Language | English |
| Type | Dissertation |
| Rights | © University of Pretoria 2006 E737/ |
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