NDLI: Christopher Alexander's fifteen properties: Toward developing evaluation metrics for security visualizations

Content Provider	IEEE Xplore Digital Library
Author	Alshaikh, Z. Alarifi, A. Alsaleh, M.
Copyright Year	2013
Description	Author affiliation: Comput. Res. Inst., King Abdulaziz City for Sci. & Technol., Riyadh, Saudi Arabia (Alshaikh, Z.; Alarifi, A.; Alsaleh, M.)
Abstract	The objective of security data visualizations is to help cyber analysts to perceive trends and patterns, and gain insights into security data. Sound and systematic evaluations of security data visualizations are rarely performed, in part due to the lack of proper quantitative and qualitative measures. In this paper, we present a novel evaluation approach for security visualization based on Christopher Alexander's fifteen properties of living structures. Alexander's fifteen properties are derived from various visual patterns that appear in nature. Each property represents the guidelines for good design. We believe that using these fundamental properties have the potential for building a more robust evaluation. Each property offers essential qualities that enable better analytical reasoning. We demonstrate how to use Alexander's properties to evaluate security related visualizations. We derive a set of visualization-specific properties for evaluation, developed based on Alexander's original properties.
Sponsorship	IEEE Intelligent Transp. Syst. Soc.
Starting Page	295
Ending Page	300
File Size	1616623
Page Count	6
File Format	PDF
ISBN	9781467362146
e-ISBN	9781467362139
DOI	10.1109/ISI.2013.6578847
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context Evaluation of security visualizations Visualization Security visualizations Information visualization Shape Image color analysis Security intelligence Data visualization Security Security Informatics Clocks
Content Type	Text
Resource Type	Article

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