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abstract

A preliminary system for recognizing boredom

Published: 09 March 2009 Publication History

Abstract

A 3D optical flow tracking system was used to track participants as 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.

References

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P. E. Bull. Posture and Gesture. Pergamon Press, 1987.
[2]
S. D'Mello, P. Chapman, and A. Graesser. Posture as a predictor of learner's affective engagement. In Proceedings of the 29th Annual Meeting of the Cognitive Science Society, pages 905--910, Austin, TX, 2007. Cognitive Science Society.
[3]
R. el Kaliouby and P. Robinson. Mind reading machines: Automated inference of cognitive mental states from video. In Proceedings of The 2004 IEEE International Conference on Systems, Man and Cybernetics, 2004.
[4]
S. Mota and R. W. Picard. Automated posture analysis for detecting learner's interest level. cvprw, 05:49, 2003.

Cited By

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  • (2019)Gaze tutorInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2012.01.00470:5(377-398)Online publication date: 1-Jan-2019
  • (2017)Pupillometry and Head Distance to the Screen to Predict Skill Acquisition During Information Visualization TasksProceedings of the 22nd International Conference on Intelligent User Interfaces10.1145/3025171.3025187(221-231)Online publication date: 7-Mar-2017
  • (2016)Boredom Recognition Based on Users’ Spontaneous Behaviors in Multiparty Human-Robot InteractionsMultiMedia Modeling10.1007/978-3-319-51811-4_55(677-689)Online publication date: 31-Dec-2016

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Published In

cover image ACM Conferences
HRI '09: Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
March 2009
348 pages
ISBN:9781605584041
DOI:10.1145/1514095

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 March 2009

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  1. human-robot interaction

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HRI09
HRI09: International Conference on Human Robot Interaction
March 9 - 13, 2009
California, La Jolla, USA

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Overall Acceptance Rate 268 of 1,124 submissions, 24%

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Cited By

View all
  • (2019)Gaze tutorInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2012.01.00470:5(377-398)Online publication date: 1-Jan-2019
  • (2017)Pupillometry and Head Distance to the Screen to Predict Skill Acquisition During Information Visualization TasksProceedings of the 22nd International Conference on Intelligent User Interfaces10.1145/3025171.3025187(221-231)Online publication date: 7-Mar-2017
  • (2016)Boredom Recognition Based on Users’ Spontaneous Behaviors in Multiparty Human-Robot InteractionsMultiMedia Modeling10.1007/978-3-319-51811-4_55(677-689)Online publication date: 31-Dec-2016

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