Publication Name	World Journal of Psychiatry
Manuscript ID	119308
Country	China

Category	Psychiatry
Manuscript Type	Observational Study
Article Title	Gamified video-based affective computing framework for adolescent depression screening
Manuscript Source	Unsolicited Manuscript
All Author List	Qi-Zhou Li, Li-Yuan-Ke Wang, Ming-Hao Wang, Jing-Yun Li, Xin-Xi Chen, Wei Fang, Zi-Xu Wang, Pei-Dong Chen, Qing-Shu Bai, Pei Sun, Xi-Wang Fan, Rui Zhong and Hua Shi
Funding Agency and Grant Number
Corresponding Author	Hua Shi, Department of Mental Health and Health Promotion, Chinese PLA Center for Disease Control and Prevention, No. 20 Dongjie Street, Fengtai District, Beijing 100071, China. placdc@139.com
Key Words	Depressive disorder; Facial expression; Machine learning; Affective computing
Core Tip	This study introduces a gamified, video-based affective computing approach for adolescent depression screening that captures spontaneous behavioural cues during an interactive game task. By extracting facial action units, gaze behaviour, head pose, and valence-arousal features from short video recordings recorded within the game, we trained a machine learning classifier that reliably distinguished depressed adolescents from healthy controls with strong external generalization. The findings demonstrate that visual behavioural signals alone can support accurate, low-cost, and non-invasive depression screening, highlighting the potential of gamified paradigms for scalable mental health screening in addition to traditional clinical interviews.
Citation	Li QZ, Wang LYK, Wang MH, Li JY, Chen XX, Fang W, Wang ZX, Chen PD, Bai QS, Sun P, Fan XW, Zhong R, Shi H. Gamified video-based affective computing framework for adolescent depression screening. World J Psychiatry 2026; In press

Received	2026-01-26 06:30
Peer-Review Started	2026-01-26 06:32
First Decision by Editorial Office Director	2026-02-10 09:16
Return for Revision	2026-02-10 09:16
Revised	2026-03-05 22:56
Publication Fee Transferred	2026-03-25 19:04
Second Decision by Editor	2026-06-29 02:21
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-06-29 03:44
Articles in Press	2026-06-29 03:44
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2220-3206 (online)
Open Access	Open-Access: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
Copyright	©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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