A Psychophysiological Investigation of Boredom Profiles Differing in Meaning, Stimulation and Subsequent Activity Choices

This study investigated the psychophysiological markers of distinct boredom profiles, defined along the meaning and stimulation dimensions of the Meaning and Attention Components (MAC) model. Psychophysiological markers were also assessed during regulatory activity choices following boredom to investigate their actual regulatory potential. The study (<i>N</i> = 60, M<sub><i>age</i></sub> = 21.4, SD = 3.38, male = 35%) employed a mixed-factorial design, with meaning as a between-subjects factor and stimulation level as a within-subjects factor in a boring task. Electrodermal activity (EDA), as well as alpha and theta EEG frequencies, were recorded both during the task and during the subsequent activity choices (i.e., switching or adapting the boring task). Results revealed that assigning meaning to a boring task had a significant, positive effect on people's ability to focus attention during the boring task (frontal EEG alpha and theta). Tonic physiological arousal predicted whether people persisted in doing a boring task or switched their activity. We observed that task switching had a restorative effect on attention. These findings indicate that psychophysiological markers meaningfully relate to the different boredom profiles, as indicated in the MAC model and support its utility in predicting activities following boredom episodes, thereby highlighting the roles of task meaningfulness and stimulation level in boredom's psychophysiological correlates.

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Publication Details

Journal
Psychological Reports
Published
2026-03-26
DOI
https://doi.org/10.1177/00332941261437988
Primary Topic
Mind wandering and attention
Type
article
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article

A Psychophysiological Investigation of Boredom Profiles Differing in Meaning, Stimulation and Subsequent Activity Choices

Karolien Poels, Heidi Vandebosch, Koen Rummens, K. Rudnicki et al.
Psychological Reports
Mind wandering and attention
article

A Psychophysiological Investigation of Boredom Profiles Differing in Meaning, Stimulation and Subsequent Activity Choices

Karolien Poels, Heidi Vandebosch, Koen Rummens, K. Rudnicki, Jolien De Schepper
article en

Abstract

This study investigated the psychophysiological markers of distinct boredom profiles, defined along the meaning and stimulation dimensions of the Meaning and Attention Components (MAC) model. Psychophysiological markers were also assessed during regulatory activity choices following boredom to investigate their actual regulatory potential. The study (<i>N</i> = 60, M<sub><i>age</i></sub> = 21.4, SD = 3.38, male = 35%) employed a mixed-factorial design, with meaning as a between-subjects factor and stimulation level as a within-subjects factor in a boring task. Electrodermal activity (EDA), as well as alpha and theta EEG frequencies, were recorded both during the task and during the subsequent activity choices (i.e., switching or adapting the boring task). Results revealed that assigning meaning to a boring task had a significant, positive effect on people's ability to focus attention during the boring task (frontal EEG alpha and theta). Tonic physiological arousal predicted whether people persisted in doing a boring task or switched their activity. We observed that task switching had a restorative effect on attention. These findings indicate that psychophysiological markers meaningfully relate to the different boredom profiles, as indicated in the MAC model and support its utility in predicting activities following boredom episodes, thereby highlighting the roles of task meaningfulness and stimulation level in boredom's psychophysiological correlates.

Psychological Reports
University of Antwerp (BE), Schools of Visual Arts, The Royal Danish Academy of Fine Arts (DK)
Openalex Percentile: Top 10%
Mind wandering and attention
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A Psychophysiological Investigation of Boredom Profiles Differing in Meaning, Stimulation and Subsequent Activity Choices — Karolien Poels, Heidi Vandebosch, et al. · Psychological Reports (2026) | TGRS Research Map | TGRS