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AR
2006
86views more  AR 2006»
13 years 5 months ago
Learning for joint attention helped by functional development
Cognitive scientists and developmental psychologists have suggested that development in perceptual, motor and memory functions of human infants as well as adaptive evaluation by ca...
Yukie Nagai, Minoru Asada, Koh Hosoda
AR
2007
111views more  AR 2007»
13 years 5 months ago
Acquisition of joint attention through natural interaction utilizing motion cues
Joint attention is one of the most important cognitive functions for the emergence of communication not only between humans but also between humans and robots. In the previous wor...
Hidenobu Sumioka, Koh Hosoda, Yuichiro Yoshikawa, ...
ECAL
2005
Springer
13 years 10 months ago
Perceptually Grounded Lexicon Formation Using Inconsistent Knowledge
Typically, multi-agent models for studying the evolution of perceptually grounded lexicons assume that agents perceive the same set of objects, and that there is either joint atten...
Federico Divina, Paul Vogt
ICRA
2005
IEEE
138views Robotics» more  ICRA 2005»
13 years 10 months ago
The Role of Motion Information in Learning Human-Robot Joint Attention
— To realize natural human-robot interactions and investigate the developmental mechanism of human communication, an effective approach is to construct models by which a robot im...
Yukie Nagai
ISCIS
2009
Springer
13 years 11 months ago
Joint visual attention modeling for naturally interacting robotic agents
Abstract—This paper elaborates on mechanisms for establishing visual joint attention for the design of robotic agents that learn through natural interfaces, following a developme...
Zeynep Yücel, Albert Ali Salah, Çetin ...
HRI
2010
ACM
13 years 12 months ago
Investigating multimodal real-time patterns of joint attention in an hri word learning task
Abstract—Joint attention – the idea that humans make inferences from observable behaviors of other humans by attending to the objects and events that these others humans attend...
Chen Yu, Matthias Scheutz, Paul W. Schermerhorn