RPD-enabled agents teaming with humans for multi-context decision making

Xiaocong Fan, Bingjun Sun, Shuang Sun, Michael McNeese, John Yen

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

31 Scopus citations

Abstract

Team decision making under stress involving multiple contexts is an extremely challenging issue faced by various real world application domains. This research is targeted at coupling cognitive agent technology and human-centered teamwork to address the informational challenges associated with Command and Control (C2) teams in contemporary military operations. Two sets of experiments, each with various settings of context switching frequencies and tasking complexities, were conducted. To ensure that the human subjects were familiar with the C2 context, they were selected from US Army ROTC (Reserve Officer Training Corps) students. Experiments on C2 teams that involve human subjects only were conducted first. We observed the decision making behavior of human subjects and incorporated expert behaviors into R-CAST - an agent architecture built upon a naturalistic decision making model that captures how domain experts make decisions based on experiences and situational similarity recognition. We then conducted another set of experiments with R-CAST agents as teammates and decision aids for human subjects. The results show that RPD-enabled agents can significantly improve the tasking capacity of C2 teams in multi-context decision making under stress. It also suggests that higher demand situations require more competent teammates.

Original languageEnglish (US)
Title of host publicationProceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems
Pages34-41
Number of pages8
DOIs
StatePublished - Dec 1 2006
EventFifth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS - Hakodate, Japan
Duration: May 8 2006May 12 2006

Publication series

NameProceedings of the International Conference on Autonomous Agents
Volume2006

Other

OtherFifth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
CountryJapan
CityHakodate
Period5/8/065/12/06

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Fingerprint Dive into the research topics of 'RPD-enabled agents teaming with humans for multi-context decision making'. Together they form a unique fingerprint.

  • Cite this

    Fan, X., Sun, B., Sun, S., McNeese, M., & Yen, J. (2006). RPD-enabled agents teaming with humans for multi-context decision making. In Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems (pp. 34-41). (Proceedings of the International Conference on Autonomous Agents; Vol. 2006). https://doi.org/10.1145/1160633.1160637