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Lookup NU author(s): Dr David GolightlyORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2017, The Author(s). One of the recurring questions in designing dynamic control environments is whether providing more information leads to better operational decisions. The idea of having every piece of information is increasingly tempting (and in safety critical domains often mandatory) but has become a potential obstacle for designers and operators. The present research study examined this challenge of appropriate information design and usability within a railway control setting. A laboratory study was conducted to investigate the presentation of different levels of information (taken from data processing framework, Dadashi et al. in Ergonomics 57(3):387–402, 2014) and the association with, and potential prediction of, the performance of a human operator when completing a cognitively demanding problem-solving scenario within railways. Results indicated that presenting users only with information corresponding to their cognitive task, and in the absence of other, non task-relevant information, improves the performance of their problem-solving/alarm handling. Knowing the key features of interest to various agents (machine or human) and using the data processing framework to guide the optimal level of information required by each of these agents could potentially lead to safer and more usable designs.
Author(s): Dadashi N, Golightly D, Sharples S
Publication type: Article
Publication status: Published
Journal: Cognition, Technology and Work
Year: 2017
Volume: 19
Issue: 4
Pages: 561-570
Print publication date: 01/11/2017
Online publication date: 23/11/2017
Acceptance date: 17/11/2017
Date deposited: 05/07/2019
ISSN (print): 1435-5558
ISSN (electronic): 1435-5566
Publisher: Springer London
URL: https://doi.org/10.1007/s10111-017-0451-1
DOI: 10.1007/s10111-017-0451-1
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