Multi-User Virtual Environments (MUVEs) and Massively Multi-player On- line Games (MMOGs) are a popular, immersive genre of computer game. For some disabled users, eye-gaze offers the only input modality with the potential for sufficiently high bandwidth to support the range of time-critical interaction tasks required to play. Although, there has been much research into gaze interaction techniques for computer interaction over the past twenty years, much of this has focused on 2D desktop application control. There has been some work that investigates the use of gaze interaction as an additional input device for gaming but very little on using gaze on its own. Further, configuration of these techniques usually requires expert knowledge often beyond the capabilities of a parent, carer or support worker. The work presented in this thesis addresses these issues by the investigation of novel gaze-only interaction techniques. These are to enable at least a beginner level of game play to take place together with a means of adapting the techniques to suit an individual. To achieve this, a collection of novel gaze based interaction techniques have been evaluated through empirical studies. These have been encompassed within an extensible software architecture that has been made available for free download. Further, a metric of reliability is developed that when used as a measure within a specially designed diagnostic test, allows the interaction technique to be adapted to suit an individual. Methods of selecting interaction techniques based upon game task are also explored and a novel methodology based on expert task analysis is developed to aid selection.
Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:534520 |
Date | January 2011 |
Creators | Vickers, Stephen |
Publisher | De Montfort University |
Source Sets | Ethos UK |
Detected Language | English |
Type | Electronic Thesis or Dissertation |
Source | http://hdl.handle.net/2086/5006 |
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