Jill Fain Lehman
Papers
13
Total Citations
226
H-Index
9
About
Jill Fain Lehman is a pioneering researcher at the intersection of human-robot interaction, child-robot collaboration, and conversational AI. Her work focuses on designing robots that engage children in natural, relationship-building interactions through storytelling, memory, and synchronized communication. In her highly cited studies, Lehman explores how robots can use persistent memory to foster long-term bonds with children, as seen in her work on repeated child-robot conversations (40 citations). She also investigates collaborative storytelling, where robots co-create narratives with children to enhance language learning and social engagement (40 citations). Her notable paper, "The Robot Who Knew Too Much" (37 citations), examines the nuanced role of information sharing in building trust and relationships. Lehman’s contributions extend to prosodic synchrony, where robots mimic human speech patterns to improve cooperative gameplay (24 citations), and semi-situated learning, which crowdsources multimodal behaviors for repeated interactions (19 citations). Her research has significant implications for educational robotics, teleoperation, and engagement modeling, with over 200 total citations across her top works. Lehman’s innovative approaches, such as augmented reality interfaces for teleoperation (15 citations), highlight her commitment to creating empathetic, adaptive robots that enrich human experiences.
Research Focus
Key Achievements
Top Papers
- 1Collaborative Storytelling between Robot and Child40 citations · 2017
- 2Persistent Memory in Repeated Child-Robot Conversations40 citations · 2017
- 3The Robot Who Knew Too Much37 citations · 2016
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- 7Augmented reality dialog interface for multimodal teleoperation15 citations · 2017
- 8Imitating human movement with teleoperated robotic head13 citations · 2016
- 9
- 10Regulating Turn-Taking in Multi-child Spoken Interaction5 citations · 2015