Masters Theses
Abstract
"As the amount of technology involved in the typical workplace increases and standard operational procedures become increasingly sophisticated the danger of overloading an operator's mental resources is increasing. As much as these technological developments help operators with daily tasks, for example by providing information via monitors and wireless headsets; it also increased the mental workload due to the bombardment of information. Mental workload is commonly associated with information processing tasks, limits. With all the extra information inputs it is difficult to set limits where excessive information becomes dangerous. The workload optimization is critical as it directly affects system performance and operator well being. This study focuses on the workload associating with visual and audio resources using the Wickens' multiple resource theory (MRT). Wickens' multiple resource theory proposes that humans have different resources for performing tasks and limited capacity for processing information.
This thesis describes a study where subjects were asked to perform two tasks at the same time and the performance decrement in one or both tasks is analyzed to determine the workload threshold. The experiments use the Lafayette's Multi-choice Reaction Timer and CogniPlus software to identify different visual and auditory stimulus in five different difficulty levels. The study concludes with recommendations for engineering managers to consider when designing tasks or systems that require operators to multitask"--Abstract, page iii.
Advisor(s)
Murray, Susan L.
Committee Member(s)
Sheng, Hong
Cudney, Elizabeth A.
Department(s)
Engineering Management and Systems Engineering
Degree Name
M.S. in Engineering Management
Publisher
Missouri University of Science and Technology
Publication Date
Spring 2010
Pagination
x, 92 pages
Note about bibliography
Includes bibliographical references (pages 84-91).
Rights
© 2010 Muhammet Servet Gulum, All rights reserved.
Document Type
Thesis - Open Access
File Type
text
Language
English
Subject Headings
Employees -- WorkloadHuman multitasking -- Case studiesMental fatigue -- MeasurementMental work
Thesis Number
T 9612
Print OCLC #
680326072
Electronic OCLC #
911055055
Recommended Citation
Gulum, Muhammet Servet, "Establishing workload limitations for application in human systems integration" (2010). Masters Theses. 110.
https://scholarsmine.mst.edu/masters_theses/110