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Ocenjevanje kognitivne obremenitve voznikov s pomočjo psihofizioloških meritev
NOVAK, KLEMEN (Author), Sodnik, Jaka (Mentor) More about this mentor... This link opens in a new window

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Abstract
Cilj magistrske naloge je raziskati povezavo med človeškimi psihofiziološkimi signali, kot so srčni utrip, galvanski odziv kože in temperatura kože ter kognitivno obremenitvijo, povzročeno s sekundarno kognitivno nalogo v simuliranem vozniškem okolju. Za simulacijo vožnje vozila je bil uporabljen simulator s premično platformo podjetja NERVteh [1]. Fitnes zapestnica Microsoft Band 2 je bila uporabljena za pridobivanje voznikovih psihofizioloških podatkov. Kognitivna obremenitev je bila povzročena s kognitivno nalogo n-nazaj [2], zaznavno-odzivna naloga (ZON) [3] pa je bila uporabljena kot referenčna meritev. Rezultati so pokazali možnost zanesljive zaznave sprememb v kognitivni obremenitvi z uporabo nizkocenovne naprave, kot je Microsoft Band 2 [4]. Razlikovanje med različnimi nivoji zahtevnosti kognitivne naloge ni mogoče. Galvanski odziv kože in temperatura kože sta se izkazala kot boljši indikator za povečanje kognitivne obremenitve v primerjavi s povprečnim srčnim utripom pri uporabi nizkocenovne zapestnice.

Language:Slovenian
Keywords:psihofiziologija, kognitivna obremenitev, srči utrip, galvanski odziv kože (GSR), temperatura kože, fitnes zapestnica, zaznavno-odzivna naloga (ZON), n-nazaj test
Work type:Master's thesis/paper (mb22)
Organization:FE - Faculty of Electrical Engineering
Year:2017
Views:764
Downloads:461
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Secondary language

Language:English
Title:Assessment of cognitive workload of drivers through psychophysiological measurements
Abstract:
The goal of this thesis is to explore the relationship between human psychophysiological signals such as heart rate, galvanic skin response (GSR) and skin temperature, and cognitive load induced by a secondary cognitive task in a simulated driving environment. NERVteh motion-based driving simulator [1] was used to simulate an immersive driving environment. Microsoft wrist band was used for collection of driver psychophysiological data. Cognitive load was induced with the Delayed Digit Recall Task (n-back task) [2] and the Detection Response task (DRT) [3] was used as a reference measurement. The results show that it is possible to reliably detect changes in cognitive load with a low cost device, such as the Microsoft wristband 2 [4]; however, specific cognitive difficulty levels cannot be differentiated. Galvanic skin response and skin temperature showed to be better indicators for increased cognitive load compared to mean heart rate data, when performing measurements with a low cost wristband.

Keywords:psychophysiology, cognitive load, heart rate, galvanic skin response (GSR), skin temperature, fitness wristband, Detection response task (DRT), n-back task

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