A practical, hybrid argumentation model to assist with the formulation of defensible assessments in uncertain sense-making environments

Groenewald, Celeste, Attfield, Simon ORCID: https://orcid.org/0000-0001-9374-2481, Passmore, Peter J. ORCID: https://orcid.org/0000-0002-5738-6800, Wong, B. L. William ORCID: https://orcid.org/0000-0002-3363-0741 and Kodagoda, Neesha (2017) A practical, hybrid argumentation model to assist with the formulation of defensible assessments in uncertain sense-making environments. In: 2017 International Conference Next Generation Community Policing, 25-27 Oct 2017, Heraklion, Crete, Greece. . [Conference or Workshop Item]

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Abstract

This paper presents a practical, hybrid argumentation model, designed for the use of Criminal Intelligence Analysts (from now on referred to as analysts) working with complex visualisation systems in uncertain sense-making environments. Analysts are required to create exhibits (as evidence) for a court of law or as input for decision-making in intelligence-led policing. These exhibits are required to be accurate, relevant and unbiased. The aim of our practical argumentation model is to assist software developers with understanding how analysts think and explain during uncertain sense-making activities. This should inform software developers on the requirements for the externalisation process of analysts’ thoughts and explanations. We believe that if software developers can support the externalisation process of analysts’ thoughts and explanations, then the process of assessing and judging the outcomes of sense-making activities becomes manageable and traceable for analysts and auditors.

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