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Massachusetts Institute of Technology

Action scheduling in humanoid conversational agents

Abstract

dc:description.abstract

This paper presents an approach to action scheduling in lifelike humanoid agents. The action scheduler constitutes a module in the agent which links the mental processes to the physical actions of the agent. It receives requests from the agent's behavior generating modules and schedules them to be executed at the appropriate time, handling such tasks as speech-to-action synchronization, concurrent and overlapping behavior blending, and behavior conflict resolution. The optimal approach to action scheduling will vary from system to system, depending upon the characteristics of the system, since the ultimate action scheduler would accommodate a fully functional human representation-a goal which is out of the scope of research today. This paper presents an action scheduler for a real-time three-dimensional multi-modal humanoid agent.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
1998

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Chang, Joey, 1975-
Advisor dc:contributor.advisor
  • Justine Cassell.

Subjects

dc:subject × 1

Rights

dc:rights
Statement 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.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/31079
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/31079

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Chang, Joey, 1975-. Action scheduling in humanoid conversational agents. Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/31079