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Finding Frustration: a Dive into the EEG of Drivers

Klosterkamp, Marie (2021) Finding Frustration: a Dive into the EEG of Drivers. Master's, Technische Universität Chemnitz.

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Emotion recognition technologies for driving are increasingly used to render automotive travel more pleasurable and, more importantly, safer. Since emotions such as frustration and anger can lead to an increase in traffic accidents, this thesis explored the utility of electroencephalogram (EEG) features to recognize the driver’s frustration level. It, therefore, sought to find a balance between the ecologically valid emotion induction of a driving simulator and the noise-sensitive but highly informative measure of the EEG. Participants’ brain activity was captured with the CGX quick-30 mobile EEG system. 19 participants completed four different frustration-inducing and two baseline driving scenarios in a 360° driving simulator. Subsequently, the participants continuously rated their frustration level based on the replay of each scenario. The resulting subjective measures were used to classify EEG time periods into episodes with or without frustration. Results showed that the frequently used measure of the Alpha Asymmetry Index (AAI) had, as hypothesized, significantly more negative indices for high frustration (vs. no frustration). However, a commingling effect of anger on this result could not be dismissed. The results could not provide evidence for the yet to be replicated previous research of frustration correlates within narrow-band oscillations (delta, theta, alpha, and beta) at specified electrode positions (frontal, central, and posterior). This thesis concludes with suggestions for subsequent research endeavors and forthcoming practical implications in the form of insights acquired.

Item URL in elib:https://elib.dlr.de/143835/
Document Type:Thesis (Master's)
Title:Finding Frustration: a Dive into the EEG of Drivers
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Date:September 2021
Refereed publication:No
Open Access:Yes
Number of Pages:59
Keywords:EEG, frustration, emotion recognition, in-vehicle affective interfaces
Institution:Technische Universität Chemnitz
Department:Faculty for Behavioral and Social Sciences; Professorship of Cognitive Psychology and Human Factors
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - NGC KoFiF (old)
Location: Braunschweig
Institutes and Institutions:Institute of Transportation Systems > Information Flow Modelling in Mobility Systems, BS
Deposited By: Bosch, Esther Johanna
Deposited On:10 Sep 2021 13:48
Last Modified:10 Sep 2021 13:48

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