Collaborative sense-making during simulated intelligence analysis exercises
- Submitting institution
-
Middlesex University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1310
- Type
- D - Journal article
- DOI
-
10.1016/j.ijhcs.2015.10.001
- Title of journal
- International Journal of Human-Computer Studies
- Article number
- -
- First page
- 94
- Volume
- 86
- Issue
- -
- ISSN
- 1071-5819
- Open access status
- Out of scope for open access requirements
- Month of publication
- October
- Year of publication
- 2015
- URL
-
http://eprints.mdx.ac.uk/17811/
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 7
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Sensemaking tasks lie at the heart of intelligence analysis but are hard to study in practice. This paper reports on an empirical study, which explored such a task in detail, including a comparison between expert and novice analysts in terms of sensemaking theory (data/frame). Observed exploratory action was complex, exhibiting behavior that was parallel, disjointed and recursive. The study shows that it is apparent that experience dictates the manner in which people construct, use and share representations. This paper is significant because the understanding it provides deepens our understanding of such processes, which can be critical to national security.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -