Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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A Study on Development of Disney Animation's Box-office Prediction AI Model Based on Brain Science

뇌과학 기반의 디즈니 애니메이션 흥행 예측 AI 모형 개발 연구

  • 이종은 (포항공과대학교 생명과학과) ;
  • 양은영 (포항공과대학교 인문사회학부)
  • Received : 2018.08.06
  • Accepted : 2018.09.20
  • Published : 2018.09.28
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Abstract

When a film company decides whether to invest or not in a scenario is the appropriate time to predict box office success. In response to market demands, AI based scenario analysis service has been launched, yet the algorithm is by no means perfect. The purpose of this study is to present a prediction model of movie scenario's box office hit based on human brain processing mechanism. In order to derive patterns of visual, auditory, and cognitive stimuli on the time spectrum of box office animation hit, this study applied Weber's law and brain mechanism. The results are as follow. First, the frequency of brain stimulation in the biggest box office movies was 1.79 times greater than that in the failure movies. Second, in the box office success, the cognitive stimuli codes are spread evenly, whereas in the failure, concentrated among few intervals. Third, in the box office success movie, cognitive stimuli which have big cognition load appeared alone, whereas visual and auditory stimuli which have little cognitive load appeared simultaneously.

영화 흥행의 예측이 필요한 시점은 영화 제작 전에 시나리오에 대한 투자를 결정하는 시점이다. 이런 요구에 따라 최근 인공지능 기반 시나리오 분석 서비스가 출시되었으나, 아직 그 알고리즘이 완벽하지는 않다. 본 연구의 목적은 인간의 뇌 작동 기작에 기반 하여, 영화 시나리오 흥행 예측 모형을 제시하는 것이다. 이를 위해 베버의 자극 반응 법칙과 뇌의 자극 기작 이론 등을 적용하여, 디즈니 애니메이션 흥행작의 시각, 청각, 인지적 자극의 타임 스펙트럼 패턴 도출을 시도한 결과는 다음과 같다. 첫째, 흥행작에서 나타난 뇌 자극의 빈도가 비 흥행작보다 약 1.79배가 많았다. 둘째로, 흥행작에서는 지각 자극 코드들이 타임 스펙트럼 상에 고른 분포를 보인 반면에 비흥행작에서는 집중 분포를 보였다. 셋째로, 흥행작에서는 인지적 부담이 큰 인지적 자극은 주로 단독적으로 등장한 반면에, 인지적 부담이 적은 시각적, 청각적 자극은 두 가지가 동시에 등장하였다.

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References

  1. A. Elgammal, B Liu, M. Elhoseiny & M. Mazzone. (2017). CAN: Creative adversarial networks, generating" art" by learning about styles and deviating from style norms. arXiv preprint arXiv:1706.07068.
  2. Y. Kim & J. Hong. (2011). A Study for the Development of Motion Picture Box-Office Prediction Model. CSAM, 18(6), 859-869. https://doi.org/10.5351/CKSS.2011.18.6.859
  3. E. H. Weber. (1834). De pulsu, resorptione, auditu et tactu. Annotationes anatomicae et physiologicae. Leipzig: Koehler
  4. K. Schmidt-Nielsen. (1997). Animal Physiology: Adaptation and Environment. 5th edition. Cambridge: Cambridge University Press, pp. 535-580.
  5. K. C. Berridge T. E. Robinson & J. W. Aldridge. (2009). Dissecting components of reward: 'liking', 'wanting', and learning. Current opinion in pharmacology, 9(1), 65-73. https://doi.org/10.1016/j.coph.2008.12.014
  6. W. Schultz. (2007). Multiple dopamine functions at different time courses .Annu. Rev. Neurosci. 30, 259-288. https://doi.org/10.1146/annurev.neuro.28.061604.135722
  7. P. Calabresi, B. Picconi, A. Tozzi & M. Di Filippo. (2007). Dopamine-mediated regulation of corticostriatal synaptic plasticity. Trends Neurosciences, 30(5), 211-219. https://doi.org/10.1016/j.tins.2007.03.001
  8. P. Dayan & L. F. Abbott. (2003). Theoretical neuroscience: computational and mathematical modeling of neural systems. Journal of Cognitive Neuroscience, 15(1), 154-155. https://doi.org/10.1162/089892903321107891
  9. J. H. Lee & el. Comparison of confocal microscopy and two-photon microscopy in mouse cornea in vivo. Experimental Eye Research, 132, 101-108.
  10. A. A. Grace & B. S. Bunney. (1984). The control of firing pattern in nigral dopamine neurons: single spike firing. Journal of Neuroscience, 4(11), 2866-2876. https://doi.org/10.1523/JNEUROSCI.04-11-02866.1984
  11. A.F. Arnsten, M. J. Wang & C. D. Paspalas. (2012). Neuromodulation of thought: flexibilities and vulnerabilities in prefrontal cortical network synapses. Neuron, 76(1), 223-239. https://doi.org/10.1016/j.neuron.2012.08.038
  12. J. Sweller, J. Van Merriënboer & F. Paas. (1998). Cognitive architecture and instructional design, Educational psychology review, 10(3), 251-296. https://doi.org/10.1023/A:1022193728205
  13. W. Hamilton. (1983). Die Schule des Aristoteles, Trans. Jaeheuung Kim, Seoul: Pyungminsa, pp. 61-63
  14. E. M, Foster. (1991). Aspect of the novel, Trans. Sungho Lee, p.96.
  15. Y. Ahn & S. No. (2005). 36 plots for movie and animation. Seoul: Dongin Press.
  16. Y. Liu, D. C. Roberts & D. Morgan. (2005). Effects of extended-access self-administration and deprivation on breakpoints maintained by cocaine in rats. Psychopharmacology, 179(3), 644-651. https://doi.org/10.1007/s00213-004-2089-y
  17. K. H. Lee. (2016). A study on film animation technique by digital production method. The Journal of Digital Convergence, 14(8), 399-406. https://doi.org/10.14400/JDC.2016.14.8.399