dc.contributor.advisor | Rodney Brooks. | en_US |
dc.contributor.author | Breazeal, Cynthia L. (Cynthia Lynn), 1967- | en_US |
dc.contributor.other | Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. | en_US |
dc.date.accessioned | 2005-08-23T12:00:00Z | en_US |
dc.date.available | 2005-08-23T12:00:00Z | en_US |
dc.date.copyright | 2000 | en_US |
dc.date.issued | 2000 | en_US |
dc.identifier.uri | http://hdl.handle.net/1721.1/9303 | |
dc.description | Thesis (Sc.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000. | en_US |
dc.description | Includes bibliographical references (p. 253-264). | en_US |
dc.description.abstract | Sociable humanoid robots are natural and intuitive for people to communicate with and to teach. We present recent advances in building an autonomous humanoid robot, Kismet, that can engage humans in expressive social interaction. We outline a set of design issues and a framework that we have found to be of particular importance for sociable robots. Having a human-in-the-loop places significant social constraints on how the robot aesthetically appears, how its sensors are configured, its quality of movement, and its behavior. Inspired by infant social development, psychology, ethology, and evolutionary perspectives, this work integrates theories and concepts from these diverse viewpoints to enable Kismet to enter into natural and intuitive social interaction with a human caregiver, reminiscent of parent-infant exchanges. Kismet perceives a variety of natural social cues from visual and auditory channels, and delivers social signals to people through gaze direction, facial expression, body posture, and vocalizations. We present the implementation of Kismet's social competencies and evaluate each with respect to: 1) the ability of naive subjects to read and interpret the robot's social cues, 2) the robot's ability to perceive and appropriately respond to naturally offered social cues, 3) the robot's ability to elicit interaction scenarios that afford rich learning potential, and 4) how this produces a rich, flexible, dynamic interaction that is physical, affective, and social. Numerous studies with naive human subjects are described that provide the data upon which we base our evaluations. | en_US |
dc.description.statementofresponsibility | by Cynthia L. Breazeal. | en_US |
dc.format.extent | 264 p. | en_US |
dc.format.extent | 28273286 bytes | |
dc.format.extent | 28273043 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | en_US |
dc.publisher | Massachusetts Institute of Technology | en_US |
dc.rights | M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. | en_US |
dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | |
dc.subject | Electrical Engineering and Computer Science. | en_US |
dc.title | Sociable machines : expressive social exchange between humans and robots | en_US |
dc.title.alternative | Expressive social exchange between humans and robots | en_US |
dc.type | Thesis | en_US |
dc.description.degree | Sc.D. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
dc.identifier.oclc | 45993894 | en_US |