An Application of the AKADAM Approach to Intelligence Analyst Work

Author:

Connors Erik S.1,Craven Patrick L.2,McNeese Michael D.1,Jefferson Tyrone2,Bains Priya2,Hall David L.1

Affiliation:

1. School of Information Sciences & Technology The Pennsylvania State University University Park, PA

2. Department of Psychology The Pennsylvania State University University Park, PA

Abstract

This paper emphasizes the use of cognitive task analysis to gain significant insight into the unique domain of intelligence analysts, how intelligence analysts view this domain, and how this domain can be replicated in a controlled simulation environment in which innovative tools and procedures can be empirically tested. Details of two comprehensive knowledge elicitation sessions involving intelligence analysts are provided as an example of using the Advanced Knowledge Acquisition and Design (AKADAM) methodology to obtain contextually relevant information for use in developing a homeland defense-oriented simulation/experimental task. Several distinctive characteristics of intelligence analyst functionality were discovered, including the multi-source integration of relevant information, complex cognitive analysis, and team collaboration in decision-making. Additional themes such as social interaction and the limitations of current analysis tools were identified.

Publisher

SAGE Publications

Subject

General Medicine,General Chemistry

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Preliminary Perspectives on Information Passing in the Intelligence Community;Analytics;2023-06-15

2. The Role of Teamwork in the Analysis of Big Data: A Study of Visual Analytics and Box Office Prediction;Big Data;2017-03

3. The Human Factors of Intelligence Analysis;Proceedings of the Human Factors and Ergonomics Society Annual Meeting;2015-09

4. The Cognitive Science of Intelligence Analysis;Proceedings of the Human Factors and Ergonomics Society Annual Meeting;2015-09

5. Human Factors Guidelines for Developing Collaborative Intelligence Analysis Technologies;Proceedings of the Human Factors and Ergonomics Society Annual Meeting;2015-09

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