peer reviewed · JMIR Mental Health (2026) · Jan 5, 2026
Digital Humans for Depression Assessment and Intervention Support: Scoping Review
Jiashuo Cao, Wujie Gao, Ruoyu Wen, Chen Li, Simon Hoermann, Nilufar Baghaei, Mark Billinghurst
In plain English
A review of 20 studies published between 2010 and 2024 on digital humans used in depression care, split between assessment work (35%) and intervention work (55%, spanning CBT, psychoeducation, compassion-focused therapy and avatar therapy). Across the set the digital human took one of five roles — interviewer, facilitator, counselor, educator or actor — and design choices for appearance, interaction modality and backend varied widely, which is a large part of why results across studies are hard to compare. Useful as a map of what has actually been trialled clinically, and as evidence that the field still has no settled design baseline.
Related research
- Full-Duplex Interaction with Speech, Expressions and Gestures
- A Study on the Impact of Hosts' Dialects on Consumers' Purchase Intentions in the Context of Digital Human Live Streaming of Agricultural Products
- Design and Evaluation of Large Language Model-Powered Digital Avatar System for Human–Computer Interaction in Adaptive Knowledge System