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Digital Group Therapy: Interdisciplinary Challenges and Opportunities for Biomedical Circuits and Systems
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DOI：10.1109/MCAS.2026.3667135.png)
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Abstract
En 中文
Ahstract Digital Group Therapy (DGT) combines clinically-led group psychotherapy with continuous multimodal sensing, edge AI analytics, and online interaction platforms. This article synthesizes five perspectives presented at the IEEE CASS Workshop on Digital Group Therapy: neuro-dynamic modeling of group processes, cognitive workload management, next-generation edge—AI wearables, game-theoretic modeling of group behavior, and physics-inspired models of social interaction (sociophysics/social physics). We frame DGT as an open, multi-layer system of systems in which neural, physiological, cognitive, and social dynamics co-evolve under continuous feedback. We then connect this framework to recent evidence on online and mixed-reality group therapy and internet-delivered Cognitive Behavioral Therapy (CBT), and to classical and modern work in sociophysics and opinion dynamics. The resulting architectural view reveals concrete circuits-and-systems challenges in scalable signal acquisition, robust edge intelligence, human-in-the-loop adaptation, incentive design, and validation of closed-loop DGT interventions.
Keywords:
Digital group therapy
edge AI
wearables
neuro-dynamics
cognitive workload
game theory
sociophysics
social physics
virtual reality
internet-delivered CBT
sys-tem-of-systems
Journal
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3.5
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525
Citations:
1.3K
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