Johnson, Mark (2007)
The Dyslexic User's Interface Support Tool (DUIST) - a framework for performance enhancing interface adaptation strategies for dyslexic computer users.
Doctoral thesis. The University of Northampton.
Abstract
Due to the nature of the symptoms experienced by dyslexic individuals (e.g. defective visual processing, short term memory deficit and motor control problems) an investigation into support strategies to aid persons suffering from the condition seems strongly justifiable.
As such, an extensive review of existing support techniques for dyslexic computer users are explored leading to the formulation of four central research models; dyslexia symptoms, symptom alleviating interface strategies, adjustable interface components and a dynamically adaptable interface preference elicitation mechanism. These models provide the foundation for the design of the Dyslexic User’s Interface Support Tool (DUIST) framework.
Using a user centred design approach, the support framework is developed, tested and subsequently evaluated with positive results. Performance gains for dyslexic subjects in reading speed and reading accuracy exemplify the apparent benefits of framework utilisation (e.g. dyslexic mean reading speed increased by 4.98 wpm vs. control gains of 0.18 wpm; dyslexic mean reading errors reduced by 0.64 per 100 words vs. control reductions of 0.06 fewer errors per 100 words).
Subsequent research into the long-term impact of framework utilisation; the perceived benefits of applying research formulated models to interfaces designed for dyslexics; and alternative strategies to portability all now seem justified. That said, the findings presented thus far warrants investigation by any reader actively interested in dyslexia; strategies for dyslexia symptom relief support environments for dyslexic computer users; applications of adaptive interfaces; and all potential system designers who may be considering developing any type of graphical interface for a dyslexic user group.
To read the thesis go to: http://nectar.northampton.ac.uk/2683/
All views and opinions are the author's and do not necessarily reflected those of any organisation they are associated with. Twitter: @scottturneruon
Computing within Northamptonshire is dynamic with interests in many aspects of computing and engineering. All views are the author and the site is the property of the author.
Showing posts with label Framework. Show all posts
Showing posts with label Framework. Show all posts
Friday, 21 October 2016
Sunday, 17 February 2013
Cricket AI - Artificial Intelligence in a Framework
Samuel Gibbs
The task that has been undertaken in this project is that of determining what type of artificial intelligence is the best one to be used in a cricket game. The aimed type of cricket simulator is one for the twenty over (Twenty20) format because this is the newest and as a result least well simulated (in the author’s opinion) of all the formats of cricket by commercially available simulators and games. The project is using Sun Microsystems Java as the programming language of choice. This will be done by testing a variety of artificial intelligence techniques and finding out which is best. Also, by building the framework itself, working out what features it needs to make it playable and interesting. These will include at least artificial intelligences that can play the game against a human and if possible a way of selecting which players will play the game. There will also be some technical research done into the different artificial intelligence techniques to help decide which methods should be attempted. To make the framework better there will be testing done of other commercial products in the cricket management and simulator field, this will also give a better understanding of what should be included within the project. The simulator should simulate a game if cricket with batting, bowling and fielding all simulated. The game simulated will initially be between England and Australia, although there is no reason why other teams couldn’t be used.
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