Designing a system to mimic expert cognition: An initial prototype
Journal article
Hepenstal, Sam, Zhang, Leishi and William Wong, B. L. 2022. Designing a system to mimic expert cognition: An initial prototype. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 66 (1), pp. 2057-2061. https://doi.org/10.1177/1071181322661092
Authors | Hepenstal, Sam, Zhang, Leishi and William Wong, B. L. |
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Abstract | In this paper, we present a proof-of-concept system to highlight the potential benefits of mimicking higher-order cognitive processes involved in ‘insight seeking’ to create the necessary context for expert sensemaking. We draw upon data from a realistic investigation exercise undertaken by 14 experienced intelligence analysts and use this to develop our prototype to mimic behaviours demonstrated by expert analysts. Our prototype system evaluates different strategies and provides recommendations for an analyst to explore, through a prototype user interface. The recommended strategies, and associated information retrieved, aligns with the actual investigations. We propose that our system presents a novel and promising approach to design AI support systems for tasks that typically require human expert cognitive processes. |
Keywords | AI; Artificial intelligence ; Expert cognition |
Year | 2022 |
Journal | Proceedings of the Human Factors and Ergonomics Society Annual Meeting |
Journal citation | 66 (1), pp. 2057-2061 |
Publisher | SAGE |
ISSN | 2169-5067 |
1071-1813 | |
Digital Object Identifier (DOI) | https://doi.org/10.1177/1071181322661092 |
Official URL | https://doi.org/10.1177/1071181322661092 |
Publication dates | |
27 Nov 2022 | |
Online | 27 Oct 2022 |
Publication process dates | |
Deposited | 02 Nov 2022 |
Accepted | 23 May 2022 |
Accepted author manuscript | License |
Output status | Published |
Permalink -
https://repository.canterbury.ac.uk/item/92zqw/designing-a-system-to-mimic-expert-cognition-an-initial-prototype
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