An Amalab-Movie Creation Approach Model: Utilizing Statistical Science To Design Anime Hits

Abstract

The authors have created an “Amalab-Movie Creation Approach Model, A-MCAM”, by utilizing statistical science to support filmmakers’ design hit movies. This paper first identifies the factors that make an Anime hit movie by making the expertise and knowledge of Anime movie producers explicit. Second, explicit knowledge is then made of factors that have an emotional impact on moviegoers to identify key subjective elements in films. Third, cause and effect links are then forged between these subjective elements and those in hit movies. Finally, this knowledge and the research process are used to create an A-MCAM. The authors then enlist the support of movie producers in verifying this model, which is deemed a successful model for improving the quality of hit filmmaking.