Use this URL to cite or link to this record in EThOS:
Title: User profiling on the basis of interactions with a computer game
Author: Billings, Simon
ISNI:       0000 0004 2732 9893
Awarding Body: Staffordshire University
Current Institution: Staffordshire University
Date of Award: 2013
Availability of Full Text:
Access from EThOS:
Access from Institution:
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.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available