A developmental model of initiating joint attention through constructing state space

Developmental learning model for joint attention

This paper proposes a developmental learning model for joint attention between a robot and a human caregiver. The proposed model has abilities to accelerate the learning and improve the final task performance owing to two kinds of developments: a robot’s development and a caregiver’s one. The robot’s development means that the sensing and the actuating capabilities of the robot change from imma...

A Developmental Approach Accelerates Learning of Joint Attention

This paper argues how robot learning can be accelerated by a developmental approach that changes the capability of the learning robot (robot development) and/or the complexity of the environment (environmental development). “Robot development” means that the perceptual, cognitive, and behavioral capabilities of the learning robot change from immature to mature states in accordance with learning...

Developmental Construction of Infant’s Joint Visual Attention as Understanding Intentionality

Joint visual attention is thought of as a basis of infant’s communication ability. The importance of subjectivity of the joint attention is pointed out. Namely, infants understand others’ intentions and subjectively gaze at the others’ gazing points. In this paper, for understanding the subjective aspect of the behavior, we constructed a computational model with constructive approach. The model...

Joint attention emerges through bootstrap learning

A human-like intelligent robot is expected to have the capability to develop its cognitive functions through experience without a priori knowledge or explicit teaching. In addition, the realization of this kind of robot can lead us to understand the developmental mechanisms of human beings. This paper proposes a bootstrap learning model by which a robot can acquire the ability of joint attentio...

A State-Space Striatal Model