Movie trailer quality evaluation using real-time human electroencephalogram

Qing Wu; Wenbing Zhao; Himanshu Sharma; Tie Qiu

doi:10.1109/SMC.2017.8123182

Movie trailer quality evaluation using real-time human electroencephalogram

Qing Wu
, Wenbing Zhao
, Himanshu Sharma
, Tie Qiu

Electrical and Computer Engineering

Cleveland State University
Dalian University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

The total US box office revenue exceeds ten billion dollars a year. Inevitably, new product forecasting and diagnosis have high financially stakes. The motion picture industry has a huge incentive to perform early prediction of movie success or failure. In this paper, we present a study that evaluate viewer responses to short movie trailers using a cap instrumented with Electroencephalogram (EEG) sensors. The method can be used to evaluate prerelease movies regarding how engaging they are to viewers. The primary advantage of our approach is that responses of a viewer can be recorded without any manual inputs from the viewer. The data collected, if analyzed properly, can reveal more accurate information regarding the viewer's emotion states while watching the movie than post-viewing surveys. This approach also enables the delivery of personalized entertainment through the brain interface.

Original language	English
Title of host publication	2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Place of Publication	usa
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3553-3557
Number of pages	5
Volume	2017-January
ISBN (Electronic)	9781538616451
DOIs	https://doi.org/10.1109/SMC.2017.8123182
State	Published - Nov 27 2017
Event	2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 - Banff, Canada Duration: Oct 5 2017 → Oct 8 2017

Conference

Conference	2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Country/Territory	Canada
City	Banff
Period	10/5/17 → 10/8/17

Access to Document

10.1109/SMC.2017.8123182

Cite this

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title = "Movie trailer quality evaluation using real-time human electroencephalogram",

abstract = "The total US box office revenue exceeds ten billion dollars a year. Inevitably, new product forecasting and diagnosis have high financially stakes. The motion picture industry has a huge incentive to perform early prediction of movie success or failure. In this paper, we present a study that evaluate viewer responses to short movie trailers using a cap instrumented with Electroencephalogram (EEG) sensors. The method can be used to evaluate prerelease movies regarding how engaging they are to viewers. The primary advantage of our approach is that responses of a viewer can be recorded without any manual inputs from the viewer. The data collected, if analyzed properly, can reveal more accurate information regarding the viewer's emotion states while watching the movie than post-viewing surveys. This approach also enables the delivery of personalized entertainment through the brain interface.",

author = "Qing Wu and Wenbing Zhao and Himanshu Sharma and Tie Qiu",

year = "2017",

month = nov,

day = "27",

doi = "10.1109/SMC.2017.8123182",

language = "English",

volume = "2017-January",

pages = "3553--3557",

booktitle = "2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 ; Conference date: 05-10-2017 Through 08-10-2017",

}

Wu, Q, Zhao, W, Sharma, H & Qiu, T 2017, Movie trailer quality evaluation using real-time human electroencephalogram. in 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017. vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., usa, pp. 3553-3557, 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Banff, Canada, 10/5/17. https://doi.org/10.1109/SMC.2017.8123182

Movie trailer quality evaluation using real-time human electroencephalogram. / Wu, Qing; Zhao, Wenbing; Sharma, Himanshu et al.
2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017. Vol. 2017-January usa: Institute of Electrical and Electronics Engineers Inc., 2017. p. 3553-3557.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Movie trailer quality evaluation using real-time human electroencephalogram

AU - Wu, Qing

AU - Zhao, Wenbing

AU - Sharma, Himanshu

AU - Qiu, Tie

PY - 2017/11/27

Y1 - 2017/11/27

N2 - The total US box office revenue exceeds ten billion dollars a year. Inevitably, new product forecasting and diagnosis have high financially stakes. The motion picture industry has a huge incentive to perform early prediction of movie success or failure. In this paper, we present a study that evaluate viewer responses to short movie trailers using a cap instrumented with Electroencephalogram (EEG) sensors. The method can be used to evaluate prerelease movies regarding how engaging they are to viewers. The primary advantage of our approach is that responses of a viewer can be recorded without any manual inputs from the viewer. The data collected, if analyzed properly, can reveal more accurate information regarding the viewer's emotion states while watching the movie than post-viewing surveys. This approach also enables the delivery of personalized entertainment through the brain interface.

AB - The total US box office revenue exceeds ten billion dollars a year. Inevitably, new product forecasting and diagnosis have high financially stakes. The motion picture industry has a huge incentive to perform early prediction of movie success or failure. In this paper, we present a study that evaluate viewer responses to short movie trailers using a cap instrumented with Electroencephalogram (EEG) sensors. The method can be used to evaluate prerelease movies regarding how engaging they are to viewers. The primary advantage of our approach is that responses of a viewer can be recorded without any manual inputs from the viewer. The data collected, if analyzed properly, can reveal more accurate information regarding the viewer's emotion states while watching the movie than post-viewing surveys. This approach also enables the delivery of personalized entertainment through the brain interface.

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BT - 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 5 October 2017 through 8 October 2017

ER -

Movie trailer quality evaluation using real-time human electroencephalogram

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