Measuring and Reducing the Cognitive Load for the End Users of Complex Systems

James Oakes; Mark Johnson; James Xue; Scott Turner

doi:10.1007/978-3-030-29516-5

Measuring and Reducing the Cognitive Load for the End Users of Complex Systems

James Oakes^*, Mark Johnson, James Xue, Scott Turner

^*Corresponding author for this work

Research output: Contribution to Book/Report › Conference Contribution › peer-review

Abstract

With the proliferation of complex computer systems, end users face a never-ending increase in the numbernof tasks, methods, inputs, passwords, usernames (and so on) when using online and standalone computerbased systems and applications. This paper examines a method and approach to measure how complex a system is to use, and how to reduce the complexity of such systems by minimising the requirement for human inputs as much as possible, in order to reduce the cognitive load for that user, or group of users.

This paper addresses a study completed around using virtualised computer management systems interfacesof two well-known products AWS (Amazon Web Services), Oracle Cloud, and compares the complexity of the steps and interface for end users to a private cloud less well-known system called the IDE
(Intelligent Design Engine). By using a set of derived formula, we examine how this can be applied to systems that have qualitative data feedback from the experiment process, and how to convert this effectively into quantitative data. This data is then analysed numerically using a unique approach to provide additional and meaningful results based of the original end user data.

Original language	English
Title of host publication	Intelligent Systems and Applications
Subtitle of host publication	AISC 1037
Editors	Y Bi, Rahul Bhatia, Supriya Kapoor
Place of Publication	Switzerland
Publisher	Springer Nature Switzerland AG
Chapter	88
Pages	1199-1209
Number of pages	11
Volume	1
Edition	1
ISBN (Electronic)	978-3-030-29516-5
ISBN (Print)	978-3-030-29516-5, 978-3-030-29515-8
DOIs	https://doi.org/10.1007/978-3-030-29516-5
Publication status	Published - 24 Aug 2019

Keywords

cognitive load
virtualise
cloud computing
intelligent
expert system

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Turner_etal_SL_2019_Measuring_and_Reducing_the_Cognitive_Load_for_the_End_Users_of_Complex_SystemsAccepted author manuscript, 808 KB

Dr Mark Johnson
- mark.johnsonnorthampton.acuk
- University of Northampton, Technology - Senior Lecturer - Computing
Person

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title = "Measuring and Reducing the Cognitive Load for the End Users of Complex Systems",

abstract = "With the proliferation of complex computer systems, end users face a never-ending increase in the numbernof tasks, methods, inputs, passwords, usernames (and so on) when using online and standalone computerbased systems and applications. This paper examines a method and approach to measure how complex a system is to use, and how to reduce the complexity of such systems by minimising the requirement for human inputs as much as possible, in order to reduce the cognitive load for that user, or group of users.This paper addresses a study completed around using virtualised computer management systems interfacesof two well-known products AWS (Amazon Web Services), Oracle Cloud, and compares the complexity of the steps and interface for end users to a private cloud less well-known system called the IDE(Intelligent Design Engine). By using a set of derived formula, we examine how this can be applied to systems that have qualitative data feedback from the experiment process, and how to convert this effectively into quantitative data. This data is then analysed numerically using a unique approach to provide additional and meaningful results based of the original end user data.",

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Measuring and Reducing the Cognitive Load for the End Users of Complex Systems. / Oakes, James; Johnson, Mark ; Xue, James et al.
Intelligent Systems and Applications : AISC 1037. ed. / Y Bi; Rahul Bhatia; Supriya Kapoor. Vol. 1 1. ed. Switzerland: Springer Nature Switzerland AG, 2019. p. 1199-1209.

Research output: Contribution to Book/Report › Conference Contribution › peer-review

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AB - With the proliferation of complex computer systems, end users face a never-ending increase in the numbernof tasks, methods, inputs, passwords, usernames (and so on) when using online and standalone computerbased systems and applications. This paper examines a method and approach to measure how complex a system is to use, and how to reduce the complexity of such systems by minimising the requirement for human inputs as much as possible, in order to reduce the cognitive load for that user, or group of users.This paper addresses a study completed around using virtualised computer management systems interfacesof two well-known products AWS (Amazon Web Services), Oracle Cloud, and compares the complexity of the steps and interface for end users to a private cloud less well-known system called the IDE(Intelligent Design Engine). By using a set of derived formula, we examine how this can be applied to systems that have qualitative data feedback from the experiment process, and how to convert this effectively into quantitative data. This data is then analysed numerically using a unique approach to provide additional and meaningful results based of the original end user data.

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Measuring and Reducing the Cognitive Load for the End Users of Complex Systems

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Keywords

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