Why the study?
This study tested the prediction that boredom proneness and susceptibility relate to baseline frontal EEG asymmetry, and that lower trait boredom associates with a leftward shift in frontal activity during situationally induced boredom.
Does trait boredom relate to changes in frontal EEG asymmetry during a boring task in young adults?
Does trait boredom relate to changes in frontal EEG asymmetry during a boring task in young adults?
People low in trait boredom exhibit a leftward shift in frontal EEG activity during a boring task, suggesting approach motivation is involved in coping with boredom.
Boredom is an aversive emotional state. People high in trait boredom are less able to effectively cope with and resolve boredom than people low in trait boredom. Trait boredom is characterized by proneness and susceptibility, which are associated with avoidance and approach behavioral dispositions, respectively. Baseline frontal EEG asymmetry (FEA) has been treated as a trait level neural correlate of approach and avoidance motivational styles. Online processes by which people effectively cope with and resolve state boredom may involve an approach motivation to create stimulation. Evidence indicates that FEA reflects an active approach or avoidance motivation. This study tested the prediction that proneness and susceptibility would be related to relative less and greater left frontal activity during baseline, respectively, and lower levels of trait boredom would be associated with a leftward shift frontal activity as situationally induced boredom ensued. Young adults (N = 54) completed trait boredom scales, baseline EEG, and a boring task. Results showed that people low in trait boredom exhibited a leftward shift in frontal activity over the course of the boring task. No relations between trait boredom and baseline FEA were observed. The results are consistent with the possibility that approach motivation is involved in coping with and resolving boredom. FEA has been characterized at trait and state levels. Our results provide a new view of FEA as a signature of dynamic online emotion regulatory processes. The implications from linking boredom and FEA for understanding the mechanisms of boredom resolution and meaning of FEA are discussed.
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Perone et al. (2019) studied this question.
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