Show simple item record

dc.contributor.advisorClegg, Benjamin
dc.contributor.authorBlitch, John G.
dc.contributor.committeememberDelosh, Edward
dc.contributor.committeememberKraiger, Kurt
dc.contributor.committeememberRobinson, Daniel
dc.date.accessioned2007-01-03T06:39:05Z
dc.date.available2007-01-03T06:39:05Z
dc.date.issued2014
dc.description2014 Spring.
dc.description.abstractAutomation has been known to provide both costs and benefits to experienced humans engaged in a wide variety of operational endeavors. Its influence on skill acquisition for novice trainees, however, is poorly understood. Some previous research has identified impoverished learning as a potential cost of employing automation in training. One prospective mechanism for any such deficits can be identified from related literature that highlights automation's role in reducing cognitive workload in the form of perceived task difficulty and mental effort. However three experiments using a combination of subjective self-report and EEG based neurophysiological instruments to measure mental workload failed to find any evidence that link the presence of automation to workload or to performance deficits resulting from its previous use. Rather the results in this study implicate engagement as an underlying basis for the inadequate mental models associated with automation-induced training deficits. The conclusion from examining these various states of cognition is that automation-induced training deficits observed in novice unmanned systems operators are primarily associated with distraction and disengagement effects, not an undesirable reduction in difficulty as previous research might suggest. These findings are consistent with automation's potential to push humans too far "out of the loop" in training. The implications of these findings are discussed.
dc.format.mediumborn digital
dc.format.mediumdoctoral dissertations
dc.identifierBlitch_colostate_0053A_12214.pdf
dc.identifier.urihttp://hdl.handle.net/10217/82506
dc.languageEnglish
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019 - CSU Theses and Dissertations
dc.rightsCopyright of the original work is retained by the author.
dc.subjectautomation
dc.subjectcognition
dc.subjectlearning
dc.subjectneuroscience
dc.subjectrobot
dc.subjecttraining
dc.titleEngagement and not workload is implicated in automation-induced learning deficiencies for unmanned aerial system trainees
dc.typeText
dcterms.rights.dplaThe copyright and related rights status of this Item has not been evaluated (https://rightsstatements.org/vocab/CNE/1.0/). Please refer to the organization that has made the Item available for more information.
thesis.degree.disciplinePsychology
thesis.degree.grantorColorado State University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record