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Virtual reality therapy for depression and anxiety treatment in China

An integrated assessment based on media richness theory and social cognitive theory

Bibliographic Data

ID17545169
AuthorsDifan Guo (0000-0002-0048-985X, South China University of Technology, corresponding author), Yu Liu (0000-0002-0016-2902, Beijing Normal University), Yahao Liu (Beijing Normal University), Yupo Zhang (0000-0002-5642-8132, Beijing Normal University), Jinghong Xu (0000-0003-4654-0603, Beijing Normal University)
Year2026
Pages1-20
Publication date2026-04-08
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAsian Journal of Communication (JOURNAL)
Journal identifiersISSN: 0129-2986 • E-ISSN: 1742-0911
PublisherRoutledge (PUBLISHER • GB)
DOI10.1080/01292986.2026.2656701
OpenAlexW7151993822
LanguageEN
Citations received1
References cited51

Anxiety · Cognition · Cognitive behaviour therapy · Depression (economics) · Social anxiety · Social cognitive theory · Virtual reality · Art Therapy and Mental Health · Digital Mental Health Interventions · Virtual Reality Applications and Impacts

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  • Message Equivocality, Media Selection, and Manager Performance

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  • Organizational Information Requirements, Media Richness and Structural Design

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    Open Access•Edmund W J Lee, Andrew Z H Yee•Frontiers in Communication•2020

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    Open Access•Edmund W J Lee, Shirley S Ho et al.•New Media & Society•2017

  • One size fits all? What counts as quality practice in (reflexive) thematic analysis

    Braun, Victoria Clarke•Qualitative Research in Psychology•2020

  • Determinants of open government data usage

    Open Access•Mei Chen, Yuyan Cao et al.•Government Information Quarterly•2023

  • Using thematic analysis in psychology

    Open Access•Braun, Virginia Braun et al.•Qualitative Research in Psychology•2006

  • Flexible Coding of In-depth Interviews

    Open Access•Nicole M Deterding, Mary C Waters•Sociological Methods & Research•2021

Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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