Dynamic adaptation of personalised recommendations based on tourists’ affective state

P. Aksenov, A. Navarro, D. Oyarzun, T.A. Arentze, A.D.A.M. Kemperman

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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Samenvatting

The presented work in progress is on the inclusion of information about tourists’ emotions in personalising their cultural program recommendations. Emotions are estimated unobtrusively and in real time from facial expressions during tourists’ interaction with a dedicated 3D-and AR-based application for cultural tourism. The affective data so collected is used for creating an affective map of an area, where each attraction (point of interest) is assigned an affective score in accordance with the involved affective model. The main goal of our work is to use these affective scores in determining and recommending attractions and activities which suit, among other criteria, the tourist’s current or desired affective state.

Originele taal-2Engels
TitelProceedings of the 17th International Conference on Human-Computer Interaction, 2-7 August 2015, Los Angeles, California
RedacteurenC. Stephanidis
UitgeverijSpringer
Pagina's491-496
Aantal pagina's6
ISBN van geprinte versie978-3-319-21382-8
DOI's
StatusGepubliceerd - 2015
Evenement17th International Conference on Human-Computer Interaction (HCI International 2015) - Los Angeles, Verenigde Staten van Amerika
Duur: 2 aug 20157 aug 2015
Congresnummer: 17

Publicatie series

NaamCommunications in Computer and Information Science
Volume529
ISSN van geprinte versie18650929

Congres

Congres17th International Conference on Human-Computer Interaction (HCI International 2015)
Verkorte titelHCI International 2015
Land/RegioVerenigde Staten van Amerika
StadLos Angeles
Periode2/08/157/08/15

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