Chie Fukada

Papers

Total Citations

H-Index

About

Chie Fukada is a pioneering researcher in human-robot interaction (HRI), whose work explores the subtle psychological and communicative bonds that form between people and machines. Her research centers on three key areas: empathy in HRI, the cognitive effects of speech patterns on robot perception, and the mechanisms by which robots can learn fundamental communicative acts. In her foundational study on empathy, Fukada investigated how specific interaction types can arouse and enhance a user’s empathy for a robot—a critical factor for building successful long-term relationships with social robots. She has also examined how speaking to robots in a high-pitched, infant-directed style influences the impression they make, drawing parallels to human caregiving and language acquisition. Further expanding the cognitive dimension of her work, Fukada has explored how robots can scaffold their learning of dialogue acts—the core building blocks of communication like questions and greetings. Though each of her most-cited papers has garnered 2 citations, their collective impact lies in laying essential groundwork for more natural, empathetic, and cognitively plausible human-robot communication.