Northampton Electronic Collection of Theses and Research

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

Oakes, J., Johnson, M., Xue, J. and Turner, S. (2019) Measuring and Reducing the Cognitive Load for the End Users of Complex Systems. In: Bi, Y., Bhatia, R. and Kapoor, S. (eds.) Intelligent Systems and Applications : AISC 1037. Switzerland: Springer Nature Switzerland AG. pp. 1199-1209.

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Turner_etal_SL_2019_Measuring_and_Reducing_the_Cognitive_Load_for_the_End_Users_of_Complex_Systems
Turner_etal_SL_2019_Measuring_and_Reducing_the_Cognitive_Load_for_the_End_Users_of_Complex_Systems.pdf - Accepted Version
Information
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.
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1702
Creators:
Oakes, J., Johnson, M., Xue, J. and Turner, S.
Editors:
Bi, Y., Bhatia, R. and Kapoor, S.
Publisher:
Springer Nature Switzerland AG
Faculties, Divisions and Institutes:
Faculties > Faculty of Arts, Science & Technology > Computing
Date:
24 August 2019
Date Type:
Publication
Page Range:
pp. 1199-1209
Title of Book:
Intelligent Systems and Applications : AISC 1037
Volume:
1
Number:
1
Place of Publication:
Switzerland
Number of Pages:
11
Language:
English
ISBN:
978-3-030-29516-5
DOI:
10.1007/978-3-030-29516-5
Status:
Published / Disseminated
Refereed:
Yes
Related URLs:
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