Hikikomori and technology-enabled escapism: An affordances and constraints perspective

Ha Eun Park, Barney Tan, Felix Tan, Jan Ondrus, Takahiro Kato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Hikikomori refers to a mental disorder that manifests as an extreme form of social withdrawal. Those afflicted (i.e., the Hikikomoris) may not go to work or school or leave their home at all, and they may not engage in face-to-face communication with anyone, including their own family members. Information Technology (IT) has been identified as one of the key catalysts of Hikikomori development. And yet, there remains a lack of knowledge on the precise mechanisms through which IT drives the development of this disorder. To address this knowledge gap, we conducted a case study of the Yokayoka Hikikomori Support Center based in Fukuoka, Japan. Our findings reveal that IT influences Hikikomori development by presenting three forms of escapes - the Relational, Emotional, and Spiritual Escapes. Moreover, each escape is more important in a specific stage of Hikikomori development and impacts the social life of the afflicted differently.

Original languageEnglish
Title of host publicationInternational Conference on Information Systems, ICIS 2020 - Making Digital Inclusive
Subtitle of host publicationBlending the Local and the Global
PublisherAssociation for Information Systems
ISBN (Electronic)9781733632553
Publication statusPublished - 2020
Event2020 International Conference on Information Systems - Making Digital Inclusive: Blending the Local and the Global, ICIS 2020 - Virtual, Online, India
Duration: Dec 13 2020Dec 16 2020

Publication series

NameInternational Conference on Information Systems, ICIS 2020 - Making Digital Inclusive: Blending the Local and the Global

Conference

Conference2020 International Conference on Information Systems - Making Digital Inclusive: Blending the Local and the Global, ICIS 2020
CountryIndia
CityVirtual, Online
Period12/13/2012/16/20

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences
  • Applied Mathematics

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