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Title: Adapted games for the elderly
Author: Awad , Mahmoud
ISNI:       0000 0004 5994 9077
Awarding Body: Queen's University Belfast
Current Institution: Queen's University Belfast
Date of Award: 2015
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With the emergence of natural user interfaces (NUl) technologies; which introduces new ways of interacting with computers, the way humans think about using computers has changed. Computer games have now a new dimension; where the player can perform a wide range of movements, ranging from simple hand gestures to moving the whole body or simply changing body position. This project aims to evaluate new ways of motivating older adults to move and perform exercises by encouraging them to play computer games that are fun. For gaming to work with older adults. the perceived affordancet or opportunity for action, of the game needs to give the player a meaningful indication about what actions are possible. and what they should do next. This project focuses on how to design games that adapts to individual player's affordancest where the level of difficulty of each level in the game will be able to accommodate an individual user's physical abilities. The research also investigates usability issues associated with designing digital games for older adults. An iterative testing methodology was applied to create several game prototypes to stipulate a set of design heuristics that will serve as a shared language between designers and developers. This project also Investigates how the player performance can be analysed when playing Kinect games, in such a way to enable older people to win against younger. A new novel algorithm called Best Hit Algorithm is implemented. The algorithm is tested with both older and younger adults to prove its validity; it provides a fair challenge mechanism where each player performance is measured according to hislher best performance. This is contrary to the current implementations of Kinect games where the winner usually is the player who has higher physical capabilities (e.g. faster response speed).
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available