2015
DOI: 10.1371/journal.pone.0135902
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Using Psychophysiological Measures to Examine the Temporal Profile of Verbal Humor Elicitation

Abstract: Despite its pervasiveness in popular culture, there remains much to be learned about the psychological and physiological processes that underlie our experience of humor. In the present study, we examined the temporal profile of verbal humor elicitation using psychophysiological measures of heart rate (HR) and facial electromyography (EMG). Consistent with recent prior research on cardiovascular changes to perceived humor, we found that HR acceleration was greater for jokes relative to non-jokes, and was positi… Show more

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Cited by 20 publications
(25 citation statements)
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References 29 publications
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“…The time window is also in line with a study by Fiacconi and Owen (2015) who located the moment of insight, i.e., the instant a verbal joke is understood, at around 800 ms after reading the punchline. In their study participants also heard jokes and unfunny but ambiguous control texts with an incongruity arising at the very end of each story.…”
Section: Eye Tracking: Viewing Timessupporting
confidence: 84%
“…The time window is also in line with a study by Fiacconi and Owen (2015) who located the moment of insight, i.e., the instant a verbal joke is understood, at around 800 ms after reading the punchline. In their study participants also heard jokes and unfunny but ambiguous control texts with an incongruity arising at the very end of each story.…”
Section: Eye Tracking: Viewing Timessupporting
confidence: 84%
“…Variations in facial EMG activity were evaluated to confirm the expected association between tagged events and changes in facial expression. Moreover, given that the estimation of expressive changes based on visual inspection of the video clips may be inaccurate with respect to the actual beginning of muscular activity, the EMG signal was also inspected to determine the specific onset of each tagged event (Fiacconi & Owen, 2015). In particular, for the EMG inspection procedure, the root mean square of the filtered signals was computed using a moving-window approach (1-sec length; 1 time point steps).…”
Section: Emg Data Analysismentioning
confidence: 99%
“…Variations in facial EMG activity were evaluated to confirm the expected association between tagged events and changes in facial expression. Moreover, given that the estimation of expressive changes based on visual inspection of the video-clips may be inaccurate with respect to the actual beginning of muscular activity, the EMG signal was also inspected to determine the specific onset of each tagged event (Fiacconi and Owen, 2015). In particular, for the EMG inspection procedure, the root mean square (RMS) of the filtered signals was computed using a moving-window approach (1-s length; 1 time-point steps).…”
Section: Emg Data Analysismentioning
confidence: 99%