An Agent-based Framework for Enhancing Helping Behaviors in Human Teamwork

Cong Chen, John Yen, Michael Miller, Richard Volz, Wayne Shebilske

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes an intelligent training framework where agents are used with explicit teamwork models for desired teamwork behaviors. In the framework, we divide coaching process into two manageable sub-phases and model trainees regarding teamwork dynamics and team performance. We have implemented the framework on a team-based agent architecture (CAST) and applied it to train helping behaviors for a simulated command and control (C2) task. The framework and its implementation enable us to design experiments for studying the effectiveness of agent-based coaching for helping behaviors among team members.

Original languageEnglish (US)
Title of host publicationArtificial Intelligence in Education
Subtitle of host publicationSupporting Learning through Intelligent and Socially Informed Technology
EditorsChee-Kit Looi, Gord McCalla, Bert Bredeweg, Joost Breuker
PublisherIOS Press BV
Pages765-767
Number of pages3
ISBN (Electronic)1586035304, 9781586035303
StatePublished - 2005
Event12th International Conference on Artificial Intelligence in Education, AIED 2005 - Amsterdam, Netherlands
Duration: Jul 18 2005Jul 22 2005

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume125
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Conference

Conference12th International Conference on Artificial Intelligence in Education, AIED 2005
Country/TerritoryNetherlands
CityAmsterdam
Period7/18/057/22/05

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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