AI-Based Emotion Recognition in Tele-Therapy: Improving Client Engagement and Emotional Insight

Abstract

Tele-therapy has expanded rapidly, especially during the COVID-19 pandemic, offering mental health services via digital platforms. However, it faces challenges like the loss of non-verbal cues, crucial for emotional understanding. This review explores how AI-based emotion recognition, through facial expression and speech analysis, enhances emotional insight and client engagement in tele-therapy. A thematic analysis of peer-reviewed studies and expert conversations was conducted, highlighting the role of AI in improving therapy outcomes and the need for psychologists’ involvement in developing these technologies to ensure their clinical relevance.