Affiliation:
1. Massachusetts Institute of Technology Artificial Intelligence Lab
Abstract
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. Note: This paper was submitted in June, 1998.
Subject
Behavioral Neuroscience,Experimental and Cognitive Psychology
Reference50 articles.
1. Arkin, R. (1988). Homeostatic control for a mobile robot: dynamic replanning in hazardous environments. In W Wolfe (Ed.), Mobile Robots III (pp. 407-413). Bellingham, WA: The International Society for Optical Engineering (SPIE).
2. Communication in reactive multiagent robotic systems
Cited by
144 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献