The Sensemaking Process and Leverage Points for Analyst Technology as Identified Through Cognitive Task Analysis

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Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, methodology): “This model emerged from cognitive task analysis to reveal the reasoning of intelligence analysts (see Pirolli and Card, 2005).”
Effects of Sensemaking Translucence on Distributed Collaborative Analysis (2016, methodology): “This process of sensemaking is described by Pirolli and Card [42] as an iterative process of foraging and sensemaking.”
Word Cloud Explorer: Text Analytics Based on Word Clouds (2014, background): “Here, users can enter terms independently of whether they are part of the word cloud.”
Text Editing by Command (2020, background): “This is not simply because they make mistakes when writing, but because they may require multiple iterations to help them shape and even make sense of what they want to express (Pirolli and Card, 2005).”
The Metacognitive Demands and Opportunities of Generative AI (2023, background): “For example, users interacting with GenAI systems for non-specific entertainment or exploration may worry less about their prompting strategy.”
Controlling False Discoveries During Interactive Data Exploration (2016, background): “First, our analytical reasoning and sense-making process is inherently non-linear [29, 33].”