Starting from the increasing rate of singlehood among Chinese youth, this study aims to propose effective measures to help single young adults in Shanghai broaden their social channels by utilizing commuting media. Specifically, it explores the feasibility of using the subway as a medium to facilitate interaction among single young professionals in the workplace. The study employs literature research and semi-structured interviews as methods and introduces innovative ways to enhance interaction within subway carriages. By combining online social networking with offline subway environments, social barriers can be broken down, providing a new social platform for single young adults. This approach brings new perspectives and methods to the field of human-computer interaction, driving the development and innovation of related technologies. After implementation, the designed solution can collect a wealth of data on user behavior, social interactions, and more, thereby enriching the field of human-computer interaction.

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Research on the Subway Social Design of Single Youths in Shanghai

  • Mingshi Xu,
  • Shenhao Shang

摘要

Starting from the increasing rate of singlehood among Chinese youth, this study aims to propose effective measures to help single young adults in Shanghai broaden their social channels by utilizing commuting media. Specifically, it explores the feasibility of using the subway as a medium to facilitate interaction among single young professionals in the workplace. The study employs literature research and semi-structured interviews as methods and introduces innovative ways to enhance interaction within subway carriages. By combining online social networking with offline subway environments, social barriers can be broken down, providing a new social platform for single young adults. This approach brings new perspectives and methods to the field of human-computer interaction, driving the development and innovation of related technologies. After implementation, the designed solution can collect a wealth of data on user behavior, social interactions, and more, thereby enriching the field of human-computer interaction.