Literature DB >> 29741960

Ecological Interface Design for Computer Network Defense.

Kevin B Bennett1, Adam Bryant1, Christen Sushereba1.   

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.

Entities:  

Keywords:  cognitive task analysis/cognitive work analysis; computer interface; cybersecurity; design strategies; display design; ecological approaches; ecological interface design; graphical user interface; perception action

Mesh:

Year:  2018        PMID: 29741960     DOI: 10.1177/0018720818769233

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  1 in total

1.  Application of Big Data Clustering and Visual Communication in Business Website Interface Design.

Authors:  Xuan Qu
Journal:  Comput Intell Neurosci       Date:  2022-08-18
  1 in total

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