JBM  Vol.2 No.4 , June 2014
Attention Drawing of Movie Trailers Revealed by Electroencephography Using Sample Entropy
ABSTRACT

A movie trailer is a common advertising tool in the entertainment industry. Detection of a viewer’s brain responses to a movie trailer can help film producers to tailor a more appealing trailer of a movie. In this study, we acquired electroencephalographic (EEG) signals from subjects when they watched movie trailers (labeled as Movie session), and compared with their resting state session (labeled as Resting session) or when they watch nature scenes (labeled as Nature session). We used Sample Entropy (SampEn) to analyze the EEG signals between different sessions. Results showed that the complexity ratios at Fp1, Fp2 and Fz channels derived from Movie session were significantly lower than that in Resting state or when subjects watched Nature session (p < 0.001). Our results suggest that the brain status can affect the complexity of their EEG. Further, the attraction of attention of a movie trailer can be observed from the change of EEG.


Cite this paper
Wang, P. , Huang, S. , Tsai, C. , Lu, C. , Teng, S. , Hung, C. and Wu, Y. (2014) Attention Drawing of Movie Trailers Revealed by Electroencephography Using Sample Entropy. Journal of Biosciences and Medicines, 2, 6-11. doi: 10.4236/jbm.2014.24002.
References
[1]   http://www.boxofficemojo.com/yearly/

[2]   http://awfj.org/2008/05/07/awfj-opinion-poll-all-about-movie-trailers/

[3]   Fisher, C.E., Chin, L. and Klitzman, R. (2010) Defining Neuromarketing: Practices and Professional Challenges. Harvard Review of Psychiatry, 18, 230-237. http://dx.doi.org/10.3109/10673229.2010.496623

[4]   Pradeep, A. (2010) The Buying Brain: Secrets for Selling to the Subconscious Mind. John Wiley & Sons Ltd., Chichester.

[5]   Y?lmaza, B., Korkmazb, S., Arslanb, D.B., Güng?rb, E. and Asyal?c, M.H. Like/Dislike Analysis Using EEG: Determination of Most Discriminative Channels and Frequencies. Computer Methods and Programs in Biomedicine, 113, 705-713. http://dx.doi.org/10.1016/j.cmpb.2013.11.010

[6]   Morris, J.D., Klahr, N.J. and Shen, F., et al. (2009) Mapping a Multidimensional Emotion in Response to Television Commercials. Human Brain Mapping, 30, 789-796. http://dx.doi.org/10.1002/hbm.20544

[7]   Vecchiato, G., Toppi, J. and Astolfi, L., et al. (2011) Spectral EEG Frontal Asymmetries Correlate with the Expe- rienced Pleasantness of TV Commercial Advertisements. Medical & Biological Engineering & Computing, 49, 579- 583. http://dx.doi.org/10.1007/s11517-011-0747-x

[8]   Richman, J.S. and Moorman, J.R. (2000) Physiological Time-Series Analysis Using Approximate Entropy and Sample Entropy. American Journal of Physiology-Heart and Circulatory Physiology, 278, H2039-H2049.

[9]   Yan, N., Wang, J., Wei, N. and Zong, L. (2007) Feature Extraction and Classification of Attention Related Electroen- cephalographic Signals Based on Sample Entropy. Journal-Xian Jiaotong University, 41, 1237.

[10]   Tran, Y., Thuraisingham, R.A., Wijesuriya, N., Nguyen, H.T. and Craig, A. (2007) Detecting Neural Change during Stress and Fatigue Effectively: A Comparison of Spectral Analysis and Sample Entropy. Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering, Hawaii, 2-5 May, 2-5.

 
 
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