Where's your mind at? Video-based mind wandering detection during film viewing

Angela Stewart, Huili Chen, Nigel Bosch, Patrick J. Donnelly, Sidney K. D'Mello

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Mind wandering (MW) is a ubiquitous phenomenon in which attention involuntarily shifts from task-related processing to taskunrelated thoughts. This study reports preliminary results of a video-based MW detector during film viewing. We collected training data in a study where participants self-reported when they caught themselves MW over the course of watching a 32.5 minute commercial film. We trained classification models on automatically extracted facial features and bodily movement and were able to detect MW with an F1 of .30. The model was successful in reproducing the MW distribution obtained from the self-reports. Copyright is held by the owner/author(s).

Original languageEnglish (US)
Title of host publicationUMAP 2016 - Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization
PublisherAssociation for Computing Machinery, Inc
Pages295-296
Number of pages2
ISBN (Electronic)9781450343701
DOIs
StatePublished - Jul 13 2016
Externally publishedYes
Event24th ACM International Conference on User Modeling, Adaptation, and Personalization, UMAP 2016 - Halifax, Canada
Duration: Jul 13 2016Jul 17 2016

Publication series

NameUMAP 2016 - Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization

Conference

Conference24th ACM International Conference on User Modeling, Adaptation, and Personalization, UMAP 2016
CountryCanada
CityHalifax
Period7/13/167/17/16

Keywords

  • Affective computing
  • Facial features
  • Film viewing
  • Mind wandering
  • User modeling

ASJC Scopus subject areas

  • Software

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