Daeho Lee
Papers
3
Total Citations
96
H-Index
3
About
Daeho Lee investigates the intersection of human-robot interaction, artificial intelligence, and developmental psychology, focusing on how users perceive and engage with socially intelligent systems. His most cited work, a 2023 study on user perception and self-disclosure toward AI psychotherapy chatbots, examines how anthropomorphic profile pictures influence trust and openness, garnering 65 citations and highlighting critical design considerations for mental health technologies. Lee’s research further explores robot etiquette in childcare, demonstrating in a 2021 study that robots can adapt their communication styles—from cheerful encouragement to careful listening—based on children’s developmental stages, a finding with 17 citations that informs age-appropriate robotic assistance. Additionally, his 2021 work on optimizing childcare functions for working parents, with 14 citations, provides actionable frameworks for tailoring robot support to diverse parenting characteristics. Through these contributions, Lee advances understanding of how autonomous systems can foster meaningful, context-aware interactions in sensitive domains like therapy and family care, bridging technical innovation with psychological insight to shape the future of empathetic AI.
Research Focus
Key Achievements
Top Papers
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