A preliminary system for recognizing boredom

Allison M. Jacobs, Benjamin Fransen, J. Malcolm McCurry, Frederick W.P. Heckel, Alan Richard Wagner, J. Gregory Trafton

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

4 Scopus citations

Abstract

A 3D optical flow tracking system was used to track participants they watched a series of boring videos. The video stream of the participants was rated for boredom events. Ratings and head position data were combined to predict boredom events.

Original languageEnglish (US)
Title of host publicationProceedings of the 4th ACM/IEEE International Conference on Human-Robot Interaction, HRI'09
Pages299-300
Number of pages2
DOIs
StatePublished - Dec 1 2008
Event4th ACM/IEEE International Conference on Human-Robot Interaction, HRI'09 - San Diego, CA, United States
Duration: Mar 11 2009Mar 13 2009

Publication series

NameProceedings of the 4th ACM/IEEE International Conference on Human-Robot Interaction, HRI'09

Other

Other4th ACM/IEEE International Conference on Human-Robot Interaction, HRI'09
CountryUnited States
CitySan Diego, CA
Period3/11/093/13/09

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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    Jacobs, A. M., Fransen, B., McCurry, J. M., Heckel, F. W. P., Wagner, A. R., & Trafton, J. G. (2008). A preliminary system for recognizing boredom. In Proceedings of the 4th ACM/IEEE International Conference on Human-Robot Interaction, HRI'09 (pp. 299-300). (Proceedings of the 4th ACM/IEEE International Conference on Human-Robot Interaction, HRI'09). https://doi.org/10.1145/1514095.1514185