@inproceedings{f1b6958310b04989b408fbb32a4c4419,
title = "Utilizing concept maps to improve human-agent collaboration within a recognition-primed decision model",
abstract = "In our ever expanding network-centric, service-oriented environments, human-agent collaboration is becoming increasingly more important to the success of future automated decision support models. Effective information retrieval, information analysis, information management and presentation will rely on stronger collaboration between the user (human) and their automated decision assistants (agents). This paper explores the utility of concept maps as an effective medium for improving human-agent collaboration within the scope of a naturalistic decision making (NDM) model; specifically the agent-based R-CAST system derived from Klein's Recognition-Primed Decisions (RPD) Model.",
author = "Timothy Hanratty and Hammell, {Robert J.} and John Yen and Xiaocong Fan",
year = "2007",
month = jan,
day = "1",
doi = "10.1109/IAT.2007.43",
language = "English (US)",
isbn = "0769530273",
series = "Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2007",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "116--120",
booktitle = "Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2007",
address = "United States",
note = "IEEE Computer Society Technical Committee on Intelligent Informatics(TCII) ; Conference date: 02-11-2007 Through 05-11-2007",
}