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Lookup NU author(s): Dr David GolightlyORCiD
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
© 2016 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 and increasing situation awareness is so tempting (and in safety critical domains often mandatory) that has become an obstacle for designers and operators. This research examined this challenge 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., 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 with information corresponding to their cognitive task (and no more) 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
Editor(s): Sawaragi T
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 13th IFAC Symposium on Analysis, Design, and Evaluation of Human-Machine Systems HMS 2016
Year of Conference: 2016
Online publication date: 09/11/2016
Acceptance date: 02/04/2016
Date deposited: 05/07/2019
Publisher: Elsevier B.V.
Series Title: IFAC-PapersOnLine