Patterns of life visualisations for intelligence analysis: exploring animation with POLAR

Conference paper

Attfield, S., Selvaraj, N., Kodagoda, N., Passmore, P. and Duncker-Gassen, E. 2019. Patterns of life visualisations for intelligence analysis: exploring animation with POLAR. 2019 International Carnahan Conference on Security Technology (ICCST). Chennai, India 01 - 03 Oct 2019 IEEE. pp. 1-6 https://doi.org/10.1109/CCST.2019.8888410
TypeConference paper
TitlePatterns of life visualisations for intelligence analysis: exploring animation with POLAR
AuthorsAttfield, S., Selvaraj, N., Kodagoda, N., Passmore, P. and Duncker-Gassen, E.
Abstract

POLAR is a prototype data visualisation system developed for use by Intelligence Analysts conducting Patterns-of-Life (PoL) analysis. PoL analysis involves exploring data to identify behaviour patterns of individuals or groups. POLAR began with a series of requirements interviews with an ex-military analyst. The design process revealed a series of design alternatives that were explored. One of these related to whether, contrary to suggestions in the literature, animation might provide an advantage to the analyst. We report the design of the system and an evaluation study to assess the effect of animation on users. Whilst animation didn’t result in significant improvements in performance, the use of animation with trails did result in significantly better usability assessments and higher user-engagement ratings. Post task interviews with analysts suggested where animation might offer a performance advantage.

Keywordscomputer animation, data visualisation, POLAR, prototype data visualisation system, intelligence analysts, PoL analysis, animation, intelligence analysis, life visualiation, patterns-of-life analysis, Animation, Visualization, Image color analysis, Task analysis, Interviews, Computer science, Data visualization, Patterns of Life, Intelligence Analysis, Coordinated Multiple Views, Animation, Evaluation
Conference2019 International Carnahan Conference on Security Technology (ICCST)
Page range1-6
ISSN1071-6572
Electronic2153-0742
ISBN
Electronic9781728115764
PublisherIEEE
Publication dates
Online31 Oct 2019
Print31 Oct 2019
Publication process dates
Deposited07 Jan 2020
Accepted18 Jul 2019
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1109/CCST.2019.8888410
LanguageEnglish
Book title2019 International Carnahan Conference on Security Technology (ICCST)
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