Your reactions suggest you liked the movie: Automatic content rating via reaction sensing

Xuan Bao, Songchun Fan, Alexander Varshavsky, Kevin A. Li, Romit Roy Choudhury

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

Abstract

This paper describes a system for automatically rating content - mainly movies and videos - at multiple granularities. Our key observation is that the rich set of sensors available on to- day's smartphones and tablets could be used to capture a wide spectrum of user reactions while users are watching movies on these devices. Examples range from acoustic signatures of laughter to detect which scenes were funny, to the stillness of the tablet indicating intense drama. Moreover, unlike in most conventional systems, these ratings need not result in just one numeric score, but could be expanded to capture the user's experience. We combine these ideas into an Android based prototype called Pulse, and test it with 11 users each of whom watched 4 to 6 movies on Samsung tablets. Encouraging results show consistent correlation between the user's actual ratings and those generated by the system. With more rigorous testing and optimization, Pulse could be a candidate for real-world adoption.

Original languageEnglish (US)
Title of host publicationUbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing
Pages197-206
Number of pages10
DOIs
StatePublished - Oct 15 2013
Externally publishedYes
Event2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2013 - Zurich, Switzerland
Duration: Sep 8 2013Sep 12 2013

Publication series

NameUbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Other

Other2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2013
CountrySwitzerland
CityZurich
Period9/8/139/12/13

Keywords

  • Content rating
  • Context
  • Mobile phones
  • Reaction sensing

ASJC Scopus subject areas

  • Software

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  • Cite this

    Bao, X., Fan, S., Varshavsky, A., Li, K. A., & Choudhury, R. R. (2013). Your reactions suggest you liked the movie: Automatic content rating via reaction sensing. In UbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 197-206). (UbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing). https://doi.org/10.1145/2493432.2493440