TOP-JAM: A bio-inspired topology-based model of joint attention for human-robot interaction
Hendry Ferreira Chame,Aurélie Clodic,Rachid Alami,Hendry Ferreira Chame,Aurélie Clodic,Rachid Alami
Coexisting with others and interacting in society implies sharing knowledge and attention about world objects, events, features, episodes, and even imagination or abstract ideas in time and space. Inspired by human phenomenological, cognitive and behavioral research, this work focuses on the study of joint attention (JA) for human-robot interaction (HRI), based on two main assumptions: a) the perc...
