Infant-like Social Interactions between a Robot and a Human Caregiver
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- Cynthia Breazeal
- Massachusetts Institute of Technology Artificial Intelligence Lab
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- Brian Scassellati
- Massachusetts Institute of Technology Artificial Intelligence Lab
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Abstract
<jats:p> From birth, human infants are immersed in a social environment that allows them to learn by leveraging the skills and capabilities of their caregivers. A critical pre-cursor to this type of social learning is the ability to maintain interaction levels that are neither overwhelming nor under-stim ulating. In this paper, we present a mechanism for an autonomous robot to regulate the intensity of its social interactions with a human. Similar to the feedback from infant to caregiver, the robot uses expressive displays to modulate the interaction intensity. This mechanism is integrated within a general framework that combines perception, attention, drives, emotions, behavior selection, and motor acts. We present a specific implementation of this architecture that enables the robot to react appropriately to both social stimuli (faces) and non-social stimuli (moving toys) while maintaining a suitable interaction intensity. We present results from both face-to-face interactions and interactions mediated through a toy. </jats:p><jats:p> Note: This paper was submitted in June, 1998. </jats:p>
Journal
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- Adaptive Behavior
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Adaptive Behavior 8 (1), 49-74, 2000-01
SAGE Publications
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Details 詳細情報について
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- CRID
- 1360574094186792960
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- NII Article ID
- 30026459015
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- NII Book ID
- AA10847046
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- ISSN
- 17412633
- 10597123
- http://id.crossref.org/issn/10597123
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- Data Source
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- Crossref
- CiNii Articles