Toward Accessible Psychotherapy Training Using AI-Driven Interactive Patient Avatars

Created: 2026-06-18 | Tags: generative-aillmhigher-edactive-learningfeedback-loop

Pascal Riachi, Sofie Kamber, Stella Brogna, Andrew Gloster, Rafael Wampfler (2026) โ€” Institution.

๐Ÿ“„ Full text (arXiv)

AI-driven interactive patient avatars for psychotherapy training provide accessible, repeatable practice with measurable skill improvement in evidence-based therapy techniques.

Synthesis

Toward Accessible Psychotherapy Training Using AI-Driven Interactive Patient Avatars investigates ai-driven interactive patient avatars for psychotherapy training provide accessible, repeatable practice with measurable skill improvement in evidence-based therapy techniques. This work connects to existing research on accessible-learning by demonstrating that Abstract:Training psychotherapists in evidence-based interventions such as Acceptance and Commitment Therapy (ACT) requires repeated practice with meaningful feedback, yet opportunities for safe, standardized training are limited by ethical, logistical, and resource constraints. We introduce a syste....

Related Pages

- accessible-learning - adaptive-virtual-patient-psychotherapy-training - professional-training - feedback-loop - higher-ed

Citation

APA: Pascal Riachi, Sofie Kamber, Stella Brogna, Andrew Gloster, Rafael Wampfler (2026). Toward Accessible Psychotherapy Training Using AI-Driven Interactive Patient Avatars. arXiv:2606.17786.