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.
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