How analysts think: think-steps as a tool for structuring sensemaking in criminal intelligence analysis

Conference paper


Selvaraj, N., Attfield, S., Passmore, P. and Wong, B. 2016. How analysts think: think-steps as a tool for structuring sensemaking in criminal intelligence analysis. 2016 European Intelligence and Security Informatics Conference (EISIC). Uppsala, Sweden 17 - 19 Aug 2016 Institute of Electrical and Electronics Engineers (IEEE). pp. 68-75 https://doi.org/10.1109/EISIC.2016.019
TypeConference paper
TitleHow analysts think: think-steps as a tool for structuring sensemaking in criminal intelligence analysis
AuthorsSelvaraj, N., Attfield, S., Passmore, P. and Wong, B.
Abstract

Sensemaking has been described as a process involving information structuring. However, there are few detailed accounts of how this manifests in practice, particularly in relation to the creation and use of external representations such as data visualisations, and how such structuring aids sensemaking. To explore these questions in depth, we present an interview study of police crime analysts from which a model of their analysis process is developed. We describe the model focusing on the notion of 'think-steps', which for the analysts acted as a primary structuring concept. We describe how 'think-steps' propagate throughout the analysis process captured in the model. For the analysts, 'think-steps' are extensible templates that decompose a case into elements, provide a way of storing and visually structuring data, support generation of requests for information, focus research, simulate a case, and shape reporting. We reflect on the implications that our findings might have for design, including the possibility of a repertoire of evolving, sharable and reusable templates for sensemaking within a community of practice.

Conference2016 European Intelligence and Security Informatics Conference (EISIC)
Page range68-75
ISBN
Hardcover9781509028573
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Publication dates
Print17 Aug 2016
Online06 Mar 2017
Publication process dates
Deposited07 Mar 2018
Accepted19 Jun 2016
Output statusPublished
Accepted author manuscript
Copyright Statement

© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Digital Object Identifier (DOI)https://doi.org/10.1109/EISIC.2016.019
LanguageEnglish
Book title2016 European Intelligence and Security Informatics Conference (EISIC)
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Passmore, P., Zheng, Y., Rooney, C., Al-Sheikh, T. and Xu, K. 2010. Hospitalization records: characterization of pandemic spread. IEEE VAST Symposium 2010 Challenge. Salt Lake City, Utah, USA 24 - 29 Oct 2010
Prioritisation, resources and search terms: a study of decision-making at the virtual reference desk.
Attfield, S., Makri, S., Kalbach, J., Blandford, A., De Gabrielle, S. and Edwards, M. 2008. Prioritisation, resources and search terms: a study of decision-making at the virtual reference desk. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-540-87599-4_12
Improving the cost structure of sensemaking: analysing user concepts to inform information systems design
Attfield, S. and Blandford, A. 2009. Improving the cost structure of sensemaking: analysing user concepts to inform information systems design. Lecture Notes in Computer Science. 5726. https://doi.org/10.1007/978-3-642-03655-2_60
Sense-making in visual analytics: processes and challenges
Attfield, S., Hara, S. and Wong, B. 2010. Sense-making in visual analytics: processes and challenges. EuroVAST 2010: The 1st European Symposium on Visual Analytics Science and Technology.. Bordeaux, France 08 Jun 2010
Electronic resource discovery systems: from user behaviour to design.
Stelmaszewska, H., Wong, B., Attfield, S. and Chen, R. 2010. Electronic resource discovery systems: from user behaviour to design. in: Hvannberg, E., Larusdottir, M., Blandford, A. and Gulliksen, J. (ed.) NordiCHI '10 6th Nordic Conference on Human-Computer Interaction. Association for Computing Machinery (ACM). pp. 483-492
Social and interactional practices for disseminating current awareness information in an organisational setting.
Attfield, S., Blandford, A. and Makri, S. 2010. Social and interactional practices for disseminating current awareness information in an organisational setting. Information Processing and Management. 46 (6), pp. 632-645. https://doi.org/10.1016/j.ipm.2009.10.003
Discovery-led refinement in e-discovery investigations: sensemaking, cognitive ergonomics and system design.
Attfield, S. and Blandford, A. 2010. Discovery-led refinement in e-discovery investigations: sensemaking, cognitive ergonomics and system design. Artificial Intelligence and Law. 18 (4), pp. 387-412. https://doi.org/10.1007/s10506-010-9091-y
Conceptual misfits in email-based current awareness interaction
Attfield, S. and Blandford, A. 2010. Conceptual misfits in email-based current awareness interaction. Journal of Documentation. 67 (1), pp. 33-55. https://doi.org/10.1108/00220411111105443
Making sense of digital footprints in team-based legal investigations: the acquisition of focus
Attfield, S. and Blandford, A. 2011. Making sense of digital footprints in team-based legal investigations: the acquisition of focus. Human Computer Interaction. 26 (1-2), pp. 38-71. https://doi.org/10.1080/07370024.2011.556548
Integration of geographic information system and RADARSAT synthetic aperture radar data using a self-organizing map network as compensation for realtime ground data in automatic image classification
Shepherd, I., Passmore, P. and Kamal, M. 2010. Integration of geographic information system and RADARSAT synthetic aperture radar data using a self-organizing map network as compensation for realtime ground data in automatic image classification. Journal of Applied Remote Sensing. 4 (1), pp. 1-13. https://doi.org/10.1117/1.3457166
Statistical analysis for brain EIT images using SPM.
Zhang, Y., Passmore, P., Yerworth, R. and Bayford, R. 2005. Statistical analysis for brain EIT images using SPM. Institute of Electrical and Electronics Engineers. pp. 60-67 https://doi.org/10.1109/MEDIVIS.2005.17
Models of cell assembly decay
Passmore, P. and Huyck, C. 2008. Models of cell assembly decay. Institute of Electrical and Electronics Engineers. pp. 1-6 https://doi.org/10.1109/UKRICIS.2008.4798946
Visualization of multidimensional and multimodal tomographic medical imaging data, a case study
Zhang, Y., Passmore, P. and Bayford, R. 2009. Visualization of multidimensional and multimodal tomographic medical imaging data, a case study. Philosophical Transactions of the Royal Society of London. A: Mathematical and Physical Sciences. 367 (1900), pp. 3121-3148. https://doi.org/10.1098/rsta.2009.0084
Invariance of visual perception
Chikhman, V., Shelepin, Y., Foreman, N., Passmore, P., Vakhrameeva, O. and Pronin, S. 2008. Invariance of visual perception. Experimental Psychology. 1, pp. 7-33.
Viewpoint invariance in the recognition of 3-D depth-rotated figures
Chikhman, V., Shelepin, Y., Foreman, N. and Passmore, P. 2008. Viewpoint invariance in the recognition of 3-D depth-rotated figures. Perception. 37.
The estimation of quantitative ranges of invariance in visual perception
Chikhman, V., Shelepin, Y., Vakhrameeva, O., Pronin, S., Foreman, N. and Passmore, P. 2009. The estimation of quantitative ranges of invariance in visual perception. Perception. 38.
Task based visualization of 5D brain EIT data
Zhang, Y., Passmore, P. and Bayford, R. 2009. Task based visualization of 5D brain EIT data. SAC09: The 2009 ACM Symposium on Applied Computing. Honolulu Hawaii, USA 08 - 12 Mar 2009 New York Association for Computing Machinery (ACM). pp. 831-835 https://doi.org/10.1145/1529282.1529459
Dynamics in proportionate selection.
Mitchell, I., Agrawal, A., Litovski, I. and Passmore, P. 2005. Dynamics in proportionate selection. in: International Conference on Adaptive and Natural Computnig Alogorithms, Coimbra, Portugal. Proceedings. Vienna. Springer. pp. 226-229
Colour vision model-based approach for segmentation of traffic signs
Gao, X., Hong, K., Passmore, P., Podladchikova, L. and Shaposhnikov, D. 2008. Colour vision model-based approach for segmentation of traffic signs. EURASIP Journal on Image and Video Processing. 2008. https://doi.org/10.1155/2008/386705
Visualization and post-processing of 5D Brain Images
Zhang, Y., Passmore, P. and Bayford, R. 2005. Visualization and post-processing of 5D Brain Images. 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Shanghai, China 01 - 04 Sep 2005 IEEE. pp. 1083-1086 https://doi.org/10.1109/IEMBS.2005.1616607