2014 IEEE Joint Intelligence and Security Informatics Conference 2014
DOI: 10.1109/jisic.2014.59
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How Analysts Think (?): Early Observations

Abstract: In this paper we describe work-in-progress to develop a description of the ways by which intelligence analysts engage in the thinking and reasoning processes when engaged in the intelligence analysis task. Such a model will be used to inform the design the interactive visual interfaces for a next generation intelligence analysis system. We introduce the concepts of fluidity and rigour as key characteristics of the analysts' thinking landscape.

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Cited by 13 publications
(7 citation statements)
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“…Wong [38] describes the work of intelligence analysts as sense-making processes. It should be pointed out that intelligence analysts often work with visualizations (e.g., node-link diagrams to show relationships between offenders).…”
Section: Sense-making and Insight Generationmentioning
confidence: 99%
“…Wong [38] describes the work of intelligence analysts as sense-making processes. It should be pointed out that intelligence analysts often work with visualizations (e.g., node-link diagrams to show relationships between offenders).…”
Section: Sense-making and Insight Generationmentioning
confidence: 99%
“…In this section we briefly describe our proposition of how analysts think [26]. This proposition is based on a set of focus group studies with 20 analysts, cognitive task analysis studies using think aloud protocols with 6 analysts, and another 6 librarians working on intelligence analysis type tasks.…”
Section: A How Analysts Thinkmentioning
confidence: 99%
“…In Figure 1, we show the fluidity and rigour model that was proposed in Wong (2014). We posited that in addition to the processes of sense-making such as described by the Data-Frame model, analysts reason through a problem or a situation making inferences abductively, inductively or deductively.…”
Section: Sense-making and Inference Makingmentioning
confidence: 99%
“…How do analysts think? In an earlier paper (Wong, 2014) we postulated that at the start of an investigation when data is sparse analysts engage in creative, generative, tentative and playful sense-making. They use a combination of storytelling and inference making techniques to assemble the data they discover into explanations (Lombrozo, 2012).…”
Section: Introductionmentioning
confidence: 99%