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Applying the Ecological Interface Design Framework to a Proactively Controlled Network Routing System

  • Alexandros EftychiouEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 965)

Abstract

The focus system of this study is the proactively controlled signal routing system used by BBC News Division to broadcast content around its global network. The Work Domain Analysis and Decision Ladder Analysis both associated with the Ecological Interface Design (EID) approach will be used to analyze the system. [7] states the EID approach can improve performance in a variety of domains based on the novel information requirements it uncovers, however we propose that certain alterations to how EID approaches proactively controlled systems would be beneficial. Specifically, when we conducted a work domain analysis, we focused on the object level of the model that specifies that system objects are normally arranged spatially on a display to reflect the actual layout of a system. We feel that explicit reconceptualization of how the objects are arranged is necessary when approaching proactively controlled displays. Specifically, we propose an addition in the form of a temporal arrangement of objects to the current guidelines for the spatial arrangement of objects. The reason for this is so that the trend-based element can be more explicitly stated in the work domain model. We also conducted a Decision Ladder analysis where the system state node of the framework which included the technical specification as well as time orientated usage profiles of resources. The analyses inform subsequent design of a time tunnel visualization to support proactive control of the BBC Broadcast Signal Routing System.

Keywords

Human factors Systems engineering Cognitive engineering Work domain model Decision ladder model Proactive system control Ecological interface design Complex systems Signal routing systems Time tunnel displays 

References

  1. 1.
    Bennett, K.B., Payne, M., Walters, B.: An evaluation of a “time tunnel” display format for the presentation of temporal information. Hum. Factors 47, 342–359 (2005)CrossRefGoogle Scholar
  2. 2.
    Bennett, K.B., Posey, S.M., Shattuck, L.G.: Ecological interface design for military command and control. J. Cogn. Eng. Decis. Making 2(4), 349–385 (2008)CrossRefGoogle Scholar
  3. 3.
    Elix, B., Naikar, N.: Designing safe and effective future systems: a new approach for modelling decisions in future systems with cognitive work analysis. In: The 8th International Symposium of the Australian Aviation Psychology Association, Sydney, Australia with Cognitive Work Analysis. Proceedings of the 8th International Symposium of the Australian Aviation Psychology Association (2008)Google Scholar
  4. 4.
    Jenkins, D.P.: Cognitive Work Analysis: Coping with Complexity. Ashgate, Aldershot (2009)Google Scholar
  5. 5.
    Naikar, N., Moylan, A., Pearce, B.: Analysing activity in complex systems with cognitive work analysis: concepts, guidelines and case study for control task analysis. Theor. Issues Ergon. Sci. 7(4), 371–394 (2006)CrossRefGoogle Scholar
  6. 6.
    Naikar, N., Sanderson, P.M.: Evaluating design proposals for complex systems with work domain analysis. Hum. Factors 43, 529–542 (2001)CrossRefGoogle Scholar
  7. 7.
    Vicente, K.J.: Ecological interface design: Progress and challenges. Hum. Factors 44, 62–78 (2002)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.University College LondonLondonUK

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