Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Making the computer accessible to mentally retarded adults
Communications of the ACM - Supporting community and building social capital
Introduction to Bayesian Networks
Introduction to Bayesian Networks
Learning Bayesian networks from data: an information-theory based approach
Artificial Intelligence
Bayesian Framework for Video Surveillance Application
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
International Journal of Human-Computer Studies
Computers in Human Behavior
Teaming up humans with autonomous synthetic characters
Artificial Intelligence
Bayesian Networks: An Introduction
Bayesian Networks: An Introduction
A computational unification of cognitive behavior and emotion
Cognitive Systems Research
Evaluating the impact of a cloud-based serious game on obese people
Computers in Human Behavior
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In this work a novel technique for cognitive behavioural data acquisition via computer/console games is introduced by which the user feels more relax than s/he is in a formal environment (e.g., labs and clinics) and has less disruption as s/he provides cognitive data sequence by playing a game. The method can be adapted into any game and is based on the assumption that in this way more efficient analysis of mind can be made to unveil the cognitive or mental characteristics of an individual. In experiments of the proposed work a commercial console game was utilised by different users to complete the tasks in which each game player followed his/her own optional scenarios of the game for a certain period of time. The attributes were then extracted from the behavioural video data sequence by visual inspection where each one corresponds to user's behavioural characteristics spotted throughout the game and then analysed by the Bayesian network utility. At the end of all the experiments, two types of results were obtained: semantic representation of behavioural attributes and classification of personal behavioural characteristics. The approach is proved to be a unique way and helped identify general and specific behavioural characteristics of the individuals and is likely to open new areas of applications.