Int. J. of Information Technology and Management   »   2017 Vol.16, No.1

 

 

Title: A situation awareness analysis scheme to identify deficiencies of complex man-machine interactions

 

Authors: Ellemieke Van Doorn; Zoltán Rusák; Imre Horváth

 

Addresses:
Faculty of Industrial Design Engineering, Delft University of Technology, 2628 CE Delft, the Netherlands
Faculty of Industrial Design Engineering, Delft University of Technology, 2628 CE Delft, the Netherlands
Faculty of Industrial Design Engineering, Delft University of Technology, 2628 CE Delft, the Netherlands

 

Abstract: This paper presents an analysis scheme which aims to support a systematic study of required situation awareness (RSA). This scheme supports identification of deficiencies of support for situation awareness (SA). Information needs are goal and task dependent and can be defined using existing cognitive task analysis (CTA) methods. RSA, however, is a subset of information needs and depends on the interaction between goals, tasks, system factors and individual factors. The analysis scheme has helped to identify that the current methods to define RSA do not support a distinction between information needs and RSA. The scheme was trialled in a nautical traffic management context as an extension to existing CTA methods. The research activities necessary to study RSA and to identify deficiencies of current support for SA in nautical traffic management context were applied. The study showed that the research set-up designed through application of the analysis scheme helped to define RSA, and that RSA is considerably context and operator dependent. Future research will focus on the potential for context-aware adaptable interface solutions to allow for RSA dependent information visualisation.

 

Keywords: man-machine interaction; complex MMI; human-machine interaction; complex HMI; information needs; situation awareness requirements; deficiencies; nautical traffic management; information intensive tasks; cognitive task analysis; CTA.

 

DOI: 10.1504/IJITM.2017.10001027

 

Int. J. of Information Technology and Management, 2017 Vol.16, No.1, pp.53 - 72

 

Date of acceptance: 31 Jan 2016
Available online: 13 Nov 2016

 

 

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