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

Journal article

Hepenstal, S., Zhang, L. and Wong, BL William 2021. Automated identification of insight seeking behaviours, strategies and rules: a preliminary study. Sage Journals: Proceedings of the Human Factors and Ergonomics Society Annual Meeting . (65), pp. 1269-1273. https://doi.org/https://doi.org/10.1177/1071181321651348
AuthorsHepenstal, S., Zhang, L. and Wong, BL William
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.

KeywordsIntelligent agents; Naturalistic decision making
Year2021
JournalSage Journals: Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Journal citation(65), pp. 1269-1273
PublisherSAGE Publications
ISSN1541-9312
Digital Object Identifier (DOI)https://doi.org/https://doi.org/10.1177/1071181321651348
Official URLhttps://journals.sagepub.com/doi/abs/10.1177/1071181321651348
Publication dates
Online12 Nov 2021
Publication process dates
Deposited10 Feb 2022
Accepted author manuscript
License
File Access Level
Open
Output statusPublished
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https://repository.canterbury.ac.uk/item/905q9/automated-identification-of-insight-seeking-behaviours-strategies-and-rules-a-preliminary-study

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Accepted author manuscript
HFES 2021 - InsightSeekingBehaviours-REDRAFT v4.pdf
License: CC BY-NC-ND
File access level: Open

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