AI Paradox - Use Text for Logic, Avatars for Meaning

Explore a research presentation examining the paradoxical nature of AI communication through a study on multimodal AI-generated digital twins designed to strengthen future self-continuity. Discover findings from MIT Media Lab, Harvard University, Stanford University, and KASIKORN Labs researchers who investigated how different AI modalities - text versus avatars - serve distinct cognitive functions in human-AI interaction. Learn about the design and evaluation methodology for creating digital representations of users' future selves, and understand how text-based AI excels at logical reasoning while avatar-based AI proves more effective for conveying meaning and emotional connection. Examine the implications for trust, user engagement, and practical applications in career advice and personal growth coaching, as researchers demonstrate how the choice between textual and visual AI interfaces can significantly impact the effectiveness of future self-continuity interventions.