Bhakti Moghe
Papers
1
Total Citations
11
H-Index
1
About
Bhakti Moghe’s research sits at the intersection of human-robot interaction, health communication, and family dynamics, exploring how technology can mediate sensitive conversations across generations. Her most-cited work, "Facing LLMs: Robot Communication Styles in Mediating Health Information between Parents and Young Adults" (2024, 11 citations), addresses a critical challenge: designing robots that navigate the delicate balance of sharing health information between young adults and parents, who often feel embarrassed or avoidant. By integrating large language models with expressive robot behaviors, Moghe demonstrates how adaptive communication styles can reduce discomfort and foster trust in multi-party interactions. This contribution is notable for its human-centered approach, combining computational methods with deep insights into family psychology. Her work has immediate implications for healthcare robotics, particularly in adolescent and geriatric care settings where sensitive disclosures are common. Moghe’s research stands out for its empathy-driven design, offering a blueprint for technologies that respect the emotional complexities of real-world relationships.
Research Focus
Key Achievements
Top Papers
- 1