Towards Analytical Provenance Visualization for Criminal Intelligence Analysis

dc.contributor.authorIslam, Junayeden_US
dc.contributor.authorAnslow, Craigen_US
dc.contributor.authorXu, Kaien_US
dc.contributor.authorWong, Williamen_US
dc.contributor.authorZhang, Leishien_US
dc.contributor.editorCagatay Turkay and Tao Ruan Wanen_US
dc.date.accessioned2016-09-15T09:05:50Z
dc.date.available2016-09-15T09:05:50Z
dc.date.issued2016
dc.description.abstractIn criminal intelligence analysis to complement the information entailed and to enhance transparency of the operations, it demands logs of the individual processing activities within an automated processing system. Management and tracing of such security sensitive analytical information flow originated from tightly coupled visualizations into visual analytic system for criminal intelligence that triggers huge amount of analytical information on a single click, involves design and development challenges. To lead to a believable story by using scientific methods, reasoning for getting explicit knowledge of series of events, sequences and time surrounding interrelationships with available relevant information by using human perception, cognition, reasoning with database operations and computational methods, an analytic visual judgmental support is obvious for criminal intelligence. Our research outlines the requirements and development challenges of such system as well as proposes a generic way of capturing different complex visual analytical states and processes known as analytic provenance. The proposed technique has been tested into a large heterogeneous event-driven visual analytic modular analyst’'s user interface (AUI) of the project VALCRI (Visual Analytics for Sensemaking in Criminal Intelligence) and evaluated by the police intelligence analysts through it's visual state capturing and retracing interfaces. We have conducted several prototype evaluation sessions with the groups of end-users (police intelligence analysts) and found very positive feedback. Our approach provides a generic support for visual judgmental process into a large complex event-driven AUI system for criminal intelligence analysis.en_US
dc.description.sectionheadersVisualisation Techniques
dc.description.seriesinformationComputer Graphics and Visual Computing (CGVC)
dc.identifier.doi10.2312/cgvc.20161290
dc.identifier.isbn978-3-03868-022-2
dc.identifier.issn-
dc.identifier.pages17-24
dc.identifier.urihttps://doi.org/10.2312/cgvc.20161290
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/cgvc20161290
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.6 [Computer Graphics]
dc.subjectMethodology and Techniques
dc.subjectInteraction Techniques
dc.titleTowards Analytical Provenance Visualization for Criminal Intelligence Analysisen_US
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