Ecological Interface Design for Computer Network Defense

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Date: Aug. 2018
From: Human Factors(Vol. 60, Issue 5)
Publisher: Sage Publications, Inc.
Document Type: Article
Length: 267 words

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Abstract :

Objective: A prototype ecological interface for computer network defense (CND) was developed. Background: Concerns about CND run high. Although there is a vast literature on CND, there is some indication that this research is not being translated into operational contexts. Part of the reason may be that CND has historically been treated as a strictly technical problem, rather than as a socio-technical problem. Methods: The cognitive systems engineering (CSE) /ecological interface design (EID) framework was used in the analysis and design of the prototype interface. A brief overview of CSE/EID is provided. EID principles of design (i.e., direct perception, direct manipulation and visual momentum) are described and illustrated through concrete examples from the ecological interface. Results: Key features of the ecological interface include (a) a wide variety of alternative visual displays, (b) controls that allow easy, dynamic reconfiguration of these displays, (c) visual highlighting of functionally related information across displays, (d) control mechanisms to selectively filter massive data sets, and (e) the capability for easy expansion. Cyber attacks from a well-known data set are illustrated through screen shots. Conclusion: CND support needs to be developed with a triadic focus (i.e., humans interacting with technology to accomplish work) if it is to be effective. Iterative design and formal evaluation is also required. The discipline of human factors has a long tradition of success on both counts; it is time that HF became fully involved in CND. Application: Direct application in supporting cyber analysts. Keywords: cybersecurity, ecological interface design, cognitive task analysis/cognitive work analysis, ecological approaches, computer interface, graphical user interface, display design, design strategies, perception action DOI: 110.1177/0018720818769233

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Gale Document Number: GALE|A547869225