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ORIGINAL RESEARCH article

Front. Public Health

Sec. Public Mental Health

Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1608608

This article is part of the Research TopicInnovative Approaches in Psychosocial and Mental HealthView all 20 articles

Visualization Analysis for Emotional Characteristics of Autism Spectrum Disorder from Cinemetrics Perspective

Provisionally accepted
Mengyuan  ShenMengyuan Shen1Yawen  JingYawen Jing1Qingyuan  LiuQingyuan Liu1Chen  LiChen Li2Ning  XuNing Xu1*
  • 1School of Petrochemical Engineering, Liaoning Shihua University, Fushun, China
  • 2Northeastern University, Shenyang, Liaoning Province, China

The final, formatted version of the article will be published soon.

The attention paid to Autism Spectrum Disorder (ASD) in film art and audiovisual communication has promoted the popularization of ASD knowledge and the development of treatment and education measures. As society pays more attention to ASD research and education, the limitations of traditional qualitative research methods are gradually becoming apparent, particularly in the dynamic and nuanced quantification of emotional characteristics, which hinders the practical application of research results. As an emerging research paradigm, cinemetrics provides new perspectives for film research. In this paper, 20 Chinese autism-themed films with 2627 shots are selected and statistically analyzed in terms of style, rhythm, and space for their emotional character clips. Average Shot Length (ASL) and Median Shot Length (MSL) are compared using a Paired Samples t-test (t = 5.620, p < 0.001) to verify the statistical significance of rhythmic differences. The results indicate that the emotional characteristics of autistic individuals in various films differ significantly in terms of shot length, editing rate, camera movement, and composition. It is found that ASL values are consistently higher than MSL values indicates a systematic rhythmic pattern rather than random fluctuation, providing a reliable quantitative basis for further analysis. These quantitative analyses provide objective data support for the study of the emotional characteristics of ASD, and also offer potential references for practical applications such as expression recognition training and movement regulation programs. This paper can help the public to understand the emotional state of ASD people and open up new paths for future investigation of ASD intervention.

Keywords: Visualization analysis, Emotional characteristics, Autism Spectrum Disorder, cinemetrics, statistical significance

Received: 09 Apr 2025; Accepted: 20 Oct 2025.

Copyright: © 2025 Shen, Jing, Liu, Li and Xu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Ning Xu, xuning201096@hotmail.com

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