Title | ||
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Towards a Unified Representation of Insight in Human-in-the-Loop Analytics: A User Study |
Abstract | ||
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Understanding what insights people draw from data visualizations is critical for human-in-the loop analytics systems to facilitate mixed-initiative analysis. In this paper we present results from a large user study on insights extracted from commonly used charts. We report several patterns of insights we observed and analyze their semantic structure to identify key considerations towards a unified formal representation of insight, human or computer generated. We also present a model of insight generation process, where humans and computers work cooperatively, building on each other's knowledge, where a common representation acts as the currency of interaction. While not going as far as proposing a formalism, we point to a few potential directions for representing insight. We believe our findings could also inform the design of novel human-in-the-loop analytics systems.
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Year | DOI | Venue |
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2018 | 10.1145/3209900.3209912 | HILDA@SIGMOD |
Keywords | Field | DocType |
ACM proceedings, LATEX, text tagging | Data science,Data mining,Data visualization,Computer science,Formal representation,Formalism (philosophy),Human-in-the-loop,Analytics | Conference |
ISBN | Citations | PageRank |
978-1-4503-5827-9 | 0 | 0.34 |
References | Authors | |
21 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Eser Kandogan | 1 | 698 | 64.49 |
Ulrich Engelke | 2 | 56 | 10.09 |