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Understanding the User Preferences in the Types of Video Censorship

  • Park, Sohyeon (Department of Computer Science and Engineering, Ewha Womans University) ;
  • Kim, Kyulee (Department of Computer Science and Engineering, Ewha Womans University) ;
  • Oh, Uran (Department of Computer Science and Engineering, Ewha Womans University)
  • Received : 2022.04.03
  • Accepted : 2022.04.14
  • Published : 2022.05.31

Abstract

Video on demand (VOD) platforms provide immersive, inspiring, and commercial-free binge watching experiences. Recently, the number of these platform users increased dramatically as users can enjoy various contents without physical and time constraints during COVID-19. However, such platforms do not provide sufficient video censorship services while there is a strong need. In this study, we investigated the users' desire for video censorship when choosing and watching movies on VOD platforms, and how video censorship can be applied to different types of scenes to increase the censoring effect without diminishing the enjoyment. We first conducted an online survey with 98 respondents to identify the types of discomfort while watching sexual, violent, or drug-related scenes. We then conducted an in-depth online interview with 18 participants to identify the effective video filtering types and regions for each of the three scenes. Based on the findings, we suggest implications for designing a censor application for videos that contain uncomfortable scenes.

Keywords

Acknowledgement

This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No.NRF2021R1F1A105278611).

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