Dynamic adaptation of personalised recommendations based on tourists’ affective state

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Downloads (Pure)


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.

Original languageEnglish
Title of host publicationProceedings of the 17th International Conference on Human-Computer Interaction, 2-7 August 2015, Los Angeles, California
EditorsC. Stephanidis
Number of pages6
ISBN (Print)978-3-319-21382-8
Publication statusPublished - 2015
Event17th International Conference on Human-Computer Interaction (HCI International 2015) - Los Angeles, United States
Duration: 2 Aug 20157 Aug 2015
Conference number: 17

Publication series

NameCommunications in Computer and Information Science
ISSN (Print)18650929


Conference17th International Conference on Human-Computer Interaction (HCI International 2015)
Abbreviated titleHCI International 2015
Country/TerritoryUnited States
CityLos Angeles


  • Affective computing
  • Emotions
  • Recommendation
  • Tourism
  • Utility

Cite this