Can AI therapy be more effective than drugs?
Machine Learning Street Talk (MLST)
Engagement Thrives on Connection
Chatbots designed as social agents show significantly higher engagement levels compared to traditional conversational systems, highlighting a commercial potential for AI-driven interactions. The perception of these agents can be categorized into three types: software, intelligence, and human-like, indicating a shift in how users relate to them. Externalized cognition plays a key role, as people often seek reminders and motivations for positive behaviors, similar to the inspiration derived from podcasts. The effectiveness of therapeutic interactions hinges on the therapeutic alliance—collaboration in goal setting and the development of a supportive relationship—rather than the specific modality of therapy employed, suggesting that the essence of therapy lies in the connection rather than in the method itself.
Remember Everything You Learn from Podcasts
