A Quantisation of Cognitive Learning Process by Computer Graphics-Games: Towards More Efficient Learning Models

Date

2016-01

Advisors

Journal Title

Journal ISSN

ISSN

Volume Title

Publisher

Open Access Library Journals

Type

Article

Peer reviewed

Yes

Abstract

With the latest developments in computer technologies and artificial intelligence (AI) techniques, more opportunities of cognitive data acquisition and stimulation via game-based systems have become available for computer scientists and psychologists. This may lead to more efficient cognitive learning model developments to be used in different fields of cognitive psychology than in the past. The increasing popularity of computer games among a broad range of age groups leads scientists and experts to seek game domain solutions to cognitive based learning abnormalities, especially for younger age groups and children. One of the major advantages of computer graphics and using game-based techniques over the traditional face-to-face therapies is that individuals, especially children immerse in the game’s virtual environment and consequently feel more open to share their cognitive behavioural characteristics naturally. The aim of this work is to investigate the effects of graphical agents on cognitive behaviours to generate more efficient cognitive models.

Description

Research group of Computer Sciences at DMU, Psychology Research Group at University of Birmingham and Reseach Group of Computer Science at University of Northumbria.

Keywords

Psychology, computer garphics, cognitive learning, Bayesian Networks

Citation

Orun, A. et al. (2016) A Quantisation of Cognitive Learning Process by Computer Graphics-Games: Towards More Efficient Learning Models. Open Access Library Journal, Psychology, 3:e2329

Rights

Research Institute