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Switch choice in applied multi-task management

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dc.contributor.authorGutzwiller, Robert, author
dc.contributor.authorClegg, Benjamin, advisor
dc.contributor.authorWickens, Christopher, committee member
dc.contributor.authorKraiger, Kurt, committee member
dc.contributor.authorHayne, Stephen, committee member
dc.date.accessioned2007-01-03T06:30:54Z
dc.date.available2007-01-03T06:30:54Z
dc.date.issued2014
dc.description.abstractLittle to date is known concerning how operators make choices in environments where cognitive load is high and they are faced with multiple different tasks to choose from. This dissertation reviewed a large body of voluntary task switching literature concerning basic research into choice in task switching, as well as what literature was available for applied task switching. From this and a prior model, a revised model of task switching choice that takes into account specific task attributes of difficulty, priority, interest and salience, was developed. In the first experiment, it was shown that task difficulty and priority influenced switching behavior. While task attributes were hypothesized to influence switching, a second major influence is time on task. In the second experiment, it was shown that tasks indeed vary in their interruptability over time, and this was related in part to what task was competing for attention as well as the cognitive processing required for the ongoing task performance. In a third experiment, a new methodology was developed to experimentally assess the role of diminishing rate of returns for performing a task. This declining rate was expected (and did result in) a general increase of switching away from an ongoing task over time. In conclusion, while task attributes and time on task play a major role in task switching in the current studies, defining the time period for theorized effects appears to be the next major step toward understanding switching choice behavior. Additionally, though the experiments are novel and certainly make a major contribution, to the extent that behavior is only represented in them, the methodology may miss some amount of `other' task behavior, such as visual sampling.
dc.format.mediumborn digital
dc.format.mediumdoctoral dissertations
dc.identifierGutzwiller_colostate_0053A_12537.pdf
dc.identifier.urihttp://hdl.handle.net/10217/83770
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectMATB
dc.subjectrate of return
dc.subjectsequential multitasking
dc.subjectSTOM
dc.subjecttask management
dc.subjectvoluntary task switching
dc.titleSwitch choice in applied multi-task management
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplinePsychology
thesis.degree.grantorColorado State University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)

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