Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/427629
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dc.coverage.spatialDynamic cognitive workload assessment of pilots using multimodal physiological signal analysis
dc.date.accessioned2022-12-18T09:48:10Z-
dc.date.available2022-12-18T09:48:10Z-
dc.identifier.urihttp://hdl.handle.net/10603/427629-
dc.description.abstractFighter pilot workload requires stringent attention, awareness, newlinesensible decision-making and action during maneuvering, maintaining newlinecommunication and handling weapons. The multidimensional nature of pilot newlineworkload such as challenges in visual, auditory and precise weapon handling newlinein combat scenarios in addition to their routine maneuvering task, the certainty newlineof life/equipment damage or loss in an error intolerance environment newlinenecessitates assessing pilot s cognitive workload in a dynamic workload newlineenvironment. The objective of the research is to evaluate Pilot s Cognitive newlineWork Load (PCWL) in a dynamic workload environment using high-fidelity newlineflight simulator environment using multi modal signal analysis. newlineThis study is designed to acquire and analyse the multi modal newlineperformance parameters such as 1. Physiological measures (cardiac and newlinecognitive parameters), 2. Subjective measures (NASA-TLX), 3. Objective newlinemeasures (performance score during induced Secondary Cognitive Task newline(SCT)) from the pilots. The parameters are recorded in the high-fidelity fighter newlineaircraft simulator environment under varying work load conditions such as 1. newlineNormal Visibility [Normal WorkLoad condition (NWL)], 2. Low Visibility newline[Moderate Workload condition (MWL)], 3. Normal Visibility with Secondary newlineCognitive Task (SCT) loading [High WorkLoad (HWL)] and 4. Low Visibility newlinewith SCT [Very High WorkLoad (VHWL) conditions]. newlineThe subjective analysis for evaluating pilot s performance was done newlineby asking the pilots to fill NASA-TLX questionnaire and its components of newlinescore such as mental demand (MD), temporal demand (TD), physical demand newline(PD), Frustration (FE), Effort (EF) and Performance (PE) are analyzed and its newlinestatistical significance was found. The results show an increased workload newlineduring higher WL when compared to normal flying. To analyze the reserve newlinecapacity of pilots a cognitive distraction (secondary task) was imposed which newlineresulted in more workload for the pilot. newline
dc.format.extentxxv,245p.
dc.languageEnglish
dc.relationp.234-244
dc.rightsuniversity
dc.titleDynamic cognitive workload assessment of pilots using multimodal physiological signal analysis
dc.title.alternative
dc.creator.researcherMohanavelu, K
dc.subject.keywordEngineering and Technology
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordStringent attention
dc.subject.keywordCombat scenarios
dc.subject.keywordManeuvering task
dc.description.note
dc.contributor.guidePoonguzhali, S
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File22.59 kBAdobe PDFView/Open
02_prelim pages.pdf569.25 kBAdobe PDFView/Open
03_content.pdf126.82 kBAdobe PDFView/Open
04_abstract.pdf70.97 kBAdobe PDFView/Open
05_chapter 1.pdf505.81 kBAdobe PDFView/Open
06_chapter 2.pdf243.67 kBAdobe PDFView/Open
07_chapter 3.pdf644.56 kBAdobe PDFView/Open
08_chapter 4.pdf365.76 kBAdobe PDFView/Open
09_chapter 5.pdf754.58 kBAdobe PDFView/Open
10_chapter 6.pdf814.42 kBAdobe PDFView/Open
11_chapter 7.pdf223.82 kBAdobe PDFView/Open
12_chapter 8.pdf352.76 kBAdobe PDFView/Open
13_annexures.pdf129.27 kBAdobe PDFView/Open
80_recommendation.pdf5.3 MBAdobe PDFView/Open


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