Print Email Facebook Twitter Personalisation of computational models of attention by simulated annealing parameter tuning Title Personalisation of computational models of attention by simulated annealing parameter tuning Author van Lambalgen, R. van Maanen, P.P. TNO Defensie en Veiligheid Publication year 2010 Abstract In this paper it is explored whether personalisation of an existing computational model of attention can increase the model's validity. Computational models of attention are for instance applied in attention allocation support systems and can benefit from this increased validity. Personalisation is done by tuning the model's parameters during a training phase, using Simulated Annealing (SA). The adapted attention model is validated using a task, varying in difficulty and attentional demand. Results show that the attention model with personalisation results in a more accurate estimation of an individual's attention as compared to the model without personalisation. © 2010 IEEE. Subject HumanPCS - Perceptual and Cognitive SystemsBSS - Behavioural and Societal SciencesPsychologyAttention modelParameter tuningPersonalisation To reference this document use: http://resolver.tudelft.nl/uuid:79f663e4-add7-4ae3-bf8c-6b7f727ee95e DOI https://doi.org/10.1109/wi-iat.2010.251 TNO identifier 425992 ISBN 9780769541914 Source 2010 3rd IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2010, 31 August 2010 through 3 September 2010, Toronto, ON. Conference code: 82818, 376-381 Article number 5614347 Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.