Papers
3
Total Citations
96
H-Index
3
About
Jieon Lee is a pioneering researcher at the intersection of human-robot interaction, AI ethics, and developmental psychology, with a focus on designing socially intelligent technologies for vulnerable populations. Her work explores how anthropomorphic design influences user trust and self-disclosure, as demonstrated in her highly cited 2023 study on AI psychotherapy chatbots, which found that profile picture realism significantly impacts user openness—a finding with 65 citations that shapes ethical AI deployment in mental health. Lee’s contributions extend to child-robot interaction, where she investigates how robot etiquette must adapt to children’s developmental stages, showing that cheerful encouragement suits younger children while careful listening benefits older ones (17 citations). She also addresses real-world family challenges, optimizing childcare functions for working parents with different parenting styles (14 citations). Lee’s research uniquely bridges technical design with psychological nuance, offering actionable guidelines for creating empathetic, age-appropriate robotic systems. Her work has been recognized for its societal relevance, earning her a reputation as a leading voice in responsible AI design for caregiving and mental health contexts.
Research Focus
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