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
Authors | Hepenstal, S., Zhang, L. and Wong, BL William |
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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. |
Keywords | Intelligent agents; Naturalistic decision making |
Year | 2021 |
Journal | Sage Journals: Proceedings of the Human Factors and Ergonomics Society Annual Meeting |
Journal citation | (65), pp. 1269-1273 |
Publisher | SAGE Publications |
ISSN | 1541-9312 |
Digital Object Identifier (DOI) | https://doi.org/https://doi.org/10.1177/1071181321651348 |
Official URL | https://journals.sagepub.com/doi/abs/10.1177/1071181321651348 |
Publication dates | |
Online | 12 Nov 2021 |
Publication process dates | |
Deposited | 10 Feb 2022 |
Accepted author manuscript | License File Access Level Open |
Output status | Published |
Permalink -
https://repository.canterbury.ac.uk/item/905q9/automated-identification-of-insight-seeking-behaviours-strategies-and-rules-a-preliminary-study
Download files
Accepted author manuscript
HFES 2021 - InsightSeekingBehaviours-REDRAFT v4.pdf | ||
License: CC BY-NC-ND | ||
File access level: Open |
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