Annika Stump's dataset contains electromyography recordings of spontaneous facial reactions from 75 participants after they judged the truth of 120 statements. The data was collected in a truth effect study with two judgment phases, 10 minutes and one week after initial exposure. It investigates the link between judging information as true and positive affect, measured via corrugator muscle activity.
Use Cases
- Analyze corrugator muscle activity patterns following true versus false judgments to quantify affective responses.
- Model the relationship between subjective confidence in judgments and subsequent facial electromyography signals.
- Examine the stability of facial EMG reactions across repeated and new statement exposures over a one-week interval.
- Investigate affect-congruent judgment theories by correlating truth judgments with physiological indicators of positive affect.
Strengths
- Data from 75 human participants provides a solid sample for behavioral and physiological analysis.
- Includes two temporally distinct judgment phases (10 minutes and 1 week) allowing for repetition effect studies.
- Focuses on a specific, understudied link between truth judgments and facial EMG-measured affect.
Limitations
- The sample size of 75 participants may limit statistical power for detecting subtle interaction effects.
- Lack of detailed column information (e.g., specific EMG metrics, confidence scores) prevents assessment of data granularity.
- Potential for geographic or cultural bias is unknown as participant demographics are not specified.
Provenance
- Source
- heiDATA Harvested Dataverse
- Collection Method
- Experimental study recording facial electromyography (EMG) during truth judgment tasks.
- Time Range
- null
- Freshness
- null
- Geography
- null