Adapting computer software to the individual user during run-time could offer substantial advantages over the current practice of tailoring software to groups of users during the development process (Stewart 2007; Charles et al. 2005; Charles & Black 2004; Houlette 2004). In order to achieve this, the computer requires information about the user, yet its ability to perceive them is severely limited (Suchman 2006 p.167; Fisher 2001). In an effort to address this shortcoming, this dissertation examines the potential for determining an individual’s personality through analysis of their interactions with commercial computer games – which, in common with cinema and literature, work on an underlying model of reality – as well as their performance in game elements using an underlying general intelligence factor, and their emotional state from visual and physiological cues. Through a program of original primary research, it demonstrates that data pertaining to several of the big five personality factors can be captured from interactions with a commercial computer game, and explores methods for predicting these personality traits using regression analysis and clustering techniques. It also employs a series of factor analyses to investigate the latent variables present in interactions with a computer role-playing game, as a foundation for further work.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:569056 |
| Date | January 2013 |
| Creators | Billings, Simon |
| Publisher | Staffordshire University |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://eprints.staffs.ac.uk/2724/ |
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