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Designing a Human Computation Game for Enhancing Early-Phase Movie Box Office Prediction

  • Johmphot Tantawichien
  • Hajime Mizuyama
  • Tomomi Nonaka
Chapter
Part of the Translational Systems Sciences book series (TSS, volume 18)

Abstract

Movie production is riddled with subjectivity and uncertainty. Each decision made can affect both quality and financial aspects of movies. Previously, various mathematical box office prediction models were proposed, but they focused at the time near the movie release, while earlier predictions would have more benefits to production team. Prediction market was suggested to have good predictability, but it still has some problems. In this study, we designed a human computation game for improving mathematical model performance in early phases which limits what information player knows about the movie at different time and introduces improved mechanics to make the game more similar to the actual movie production. After the experiments, we found that the proposed human computation game did improve mathematical prediction model performance, used in this study, but with limited working conditions. Future work should consider using more complex mathematical models, improving game design, and gathering more data for further validation.

Keywords

Box office prediction Movie industry Business game 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Johmphot Tantawichien
    • 1
  • Hajime Mizuyama
    • 1
  • Tomomi Nonaka
    • 2
  1. 1.College of Science and EngineeringAoyama Gakuin UniversitySagamiharaJapan
  2. 2.College of Gastronomy ManagementRitsumeikan UniversityKusatsuJapan

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