Automated identification of insight seeking behaviours, strategies and rules: a preliminary study

Hepenstal, Sam, Zhang, Leishi ORCID: https://orcid.org/0000-0002-3158-2328 and Wong, B. L. William ORCID: https://orcid.org/0000-0002-3363-0741 (2021) Automated identification of insight seeking behaviours, strategies and rules: a preliminary study. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 65 (1) . pp. 1269-1273. ISSN 2169-5067 [Article] (doi:10.1177/1071181321651348)

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Abstract

In this paper, we demonstrate how insight seeking strategies and rules can be captured from analyst interactions with a question-answer system, as they perform an investigation. We present our analysis of an interactive investigation exercise undertaken by 14 experienced intelligence analysts. We propose that our approach to model the abstract higher order cognition involved in insight seeking provides a means to design intelligent systems that can reward and optimise potential lines of inquiry, ultimately creating the environment from which insights can be derived.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 34195
Notes on copyright: Hepenstal S, Zhang L, Wong BLW. Automated identification of insight seeking behaviours, strategies and rules: a preliminary study. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 2021;65(1):1269-1273. © Crown Copyright (2021), Dstl. DOI:10.1177/1071181321651348.
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Depositing User: Jisc Publications Router
Date Deposited: 22 Nov 2021 16:29
Last Modified: 14 Dec 2021 16:08
URI: https://eprints.mdx.ac.uk/id/eprint/34195

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