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Authors: Efi Papatheocharous ; Marios Belk ; Panagiotis Germanakos and George Samaras

Affiliation: University of Cyprus, Cyprus

ISBN: 978-989-8565-33-4

ISSN: 2184-2825

Keyword(s): User Modelling, Cognitive Styles, CAPTCHA, Artificial Neural Networks.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neural Network Software and Applications ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: User modelling in interactive Web systems is an essential quality to optimally filter, personalise and adapt their content and functionality to serve the intrinsic needs of individual users. The mechanism for obtaining the user model needs to be intelligent, adaptive and transparent to the user, in the sense that user experience should not be disrupted or compromised. Human factors are extensively employed lately for enriching user models by capturing more intrinsic perceptual characteristics of the users. Accordingly, this paper proposes the use of Artificial Neural Networks (ANNs) for attaining cognitive styles of users in adaptive interactive systems. One of the main benefits is the automatic prediction of cognitive typologies of users by avoiding psychometric tests, which are among the typical ways of constructing user profiles and are particularly time-consuming. Furthermore, ANNs can efficiently model the relationship between cognitive styles and user interaction. The experiment al setup and the results obtained show that ANNs are suitable for predicting the cognitive styles ratio of users in respect to their actual cognitive style ratio value. (More)

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Paper citation in several formats:
Papatheocharous, E.; Belk, M.; Germanakos, P. and Samaras, G. (2012). On Modelling Cognitive Styles of Users in Adaptive Interactive Systems using Artificial Neural Networks.In Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: NCTA, (IJCCI 2012) ISBN 978-989-8565-33-4, ISSN 2184-2825, pages 563-569. DOI: 10.5220/0004158905630569

@conference{ncta12,
author={Efi Papatheocharous. and Marios Belk. and Panagiotis Germanakos. and George Samaras.},
title={On Modelling Cognitive Styles of Users in Adaptive Interactive Systems using Artificial Neural Networks},
booktitle={Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: NCTA, (IJCCI 2012)},
year={2012},
pages={563-569},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004158905630569},
isbn={978-989-8565-33-4},
}

TY - CONF

JO - Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: NCTA, (IJCCI 2012)
TI - On Modelling Cognitive Styles of Users in Adaptive Interactive Systems using Artificial Neural Networks
SN - 978-989-8565-33-4
AU - Papatheocharous, E.
AU - Belk, M.
AU - Germanakos, P.
AU - Samaras, G.
PY - 2012
SP - 563
EP - 569
DO - 10.5220/0004158905630569

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