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Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):

J. Haider, P. Seidler, M. Pohl, N. Kodagoda, R. Adderley, W. Wong:
"How Analysts Think: Sense-making Strategies in the Analysis of Temporal Evolution and Criminal Network Structures and Activities";
Vortrag: HFES 2017, Austin, Texas, USA; 09.10.2017 - 13.10.2017; in: "Proceedings of the HFES 2017 conference", SAGE, 61/1 (2017), ISBN: 978-0-945289-53-1.



Kurzfassung englisch:
Analysis of criminal activity based on offenders´ social networks is an established procedure in intelligence analysis. The complexity of the data poses an obstacle for analysts to gauge network developments, e.g. detect emerging problems. Visualization is a powerful tool to achieve this, but it is essential to know how the analysts´ sense-making strategies can be supported most efficiently. Based on a think aloud study we identified ten cognitive strategies on a general level to be useful for designers. We also provide some examples how these strategies can be supported through appropriate visualizations.


Elektronische Version der Publikation:
http://publik.tuwien.ac.at/files/publik_266668.docx


Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.