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Journal Article
Predicting Individuals’ Experienced Fear From Multimodal Physiological Responses to a Fear-Inducing Stimulus
- Authors
- Eun-Hye Jang, Sangwon Byun, Mi-Sook Park, Jin-Hun Sohn
- Issue Date
- 2020-12
- Citation
- Advances in Cognitive Psychology, v.16, no.4, pp.291-301
- ISSN
- 1895-1171
- Language
- English
- Type
- Journal Article
- Abstract
- Emotions are experienced differently by individuals, and thus, it is important to account for individuals?? experienced emotions to understand their physiological responses to emotional stimuli. The present study investigated the physiological responses to a fear-inducing stimulus and examined whether these responses can predict experienced fear. A total of 230 participants were presented with neutral and fear-inducing film clips, after which they self-rated their experienced emotions. Physiological measures (skin conductance level and response: SCL, SCR, heart rate: HR, pulse transit time: PTT, fingertip temperature: FT, and respiratory rate: RR) were recorded during the stimuli presentation. We examined the correlations between the physiological measures and the participants?? experienced emotional intensity, and performed a multiple linear regression to predict fear intensity based on the physiological responses. Of the participants, 92.5% experienced the fear emotion, and the average intensity was 5.95 on a 7-point Likert scale. Compared to the neutral condition, the SCL, SCR, HR, and RR increased significantly during the fear-inducing stimulus presentation whereas FT and PTT decreased significantly. Fear intensity correlated positively with SCR and HR and negatively with SCL, FT, PTT, and RR. The multiple linear regression demonstrated that fear intensity was predicted by a combination of SCL, SCR, HR, FT, and RR. Our findings indicate that the physiological responses to experiencing fear are associated with cholinergic, sympathetic, and 慣-adrenergic vascular activation as well as myocardial 棺-sympathetic excitation, and support the use of multimodal physiological signals for quantifying emotions.
- KSP Keywords
- Average intensity, Film clips, Intensity-based, Multiple Linear Regression(MLR), Neutral condition, Physiological Measures, Physiological responses, Pulse transit time, Respiratory Rate, Vascular activation, emotional intensity
This work is distributed under the term of Creative Commons License (CCL)
(CC BY NC ND)
(CC BY NC ND)
