ArticlePloS one2021
Emotion induction in young and old persons on watching movie segments: Facial expressions reflect subjective ratings.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- Tearjerkers may leave some eyes dry: Emotional reactivity to film clips from adolescence to old age.The British journal of developmental psychology · 2026Article
- Divergence between facial expressions and self-reported emotions: Sex differences in responses to video-based emotional stimuli.PloS one · 2026Article
- Is a picture worth the same emotions everywhere? Validation of images from the Nencki affective picture system in Malaysia.Discover mental health · 2024Article
- The effect of pleasurable emotions on weight perception.Psychological research · 2024Article
- Weak subjective-facial coherence as a possible emotional coping in older adults.Frontiers in psychology · 2024Article
- How movies move us - movie preferences are linked to differences in neuronal emotion processing of fear and anger: an fMRI study.Frontiers in behavioral neuroscience · 2024Article
- Measuring dynamic emotional experiences in response to media stimuli.Frontiers in psychology · 2024Review
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Authors and funding
4 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Film clips are established to induce or intensify mood states in young persons. Fewer studies address induction of mood states in old persons. Analysis of facial expression provides an opportunity to substantiate subjective mood states with a psychophysiological variable. We investigated healthy young (YA; n = 29; age 24.4 ± 2.3) and old (OA; n = 28; age 69.2 ± 7.4) participants. Subjects were exposed to film segments validated in young adults to induce four basic emotions (anger, disgust, happiness, sadness). We analyzed subjective mood states with a 7-step Likert scale and facial expressions with an automated system for analysis of facial expressions (FaceReader™ 7.0, Noldus Information Technology b.v.) for both the four target emotions as well as concomitant emotions. Mood expressivity was analysed with the Berkeley Expressivity Questionnaire (BEQ) and the Short Suggestibility Scale (SSS). Subjective mood intensified in all target emotions in the whole group and both YA and OA subgroups. Facial expressions of mood intensified in the whole group for all target emotions except sadness. Induction of happiness was associated with a decrease of sadness in both subjective and objective assessment. Induction of sadness was observed with subjective assessment and accompanied by a decrease of happiness in both subjective and objective assessment. Regression analysis demonstrated pre-exposure facial expressions and personality factors (BEQ, SSS) to be associated with the intensity of facial expression on mood induction. We conclude that mood induction is successful regardless of age. Analysis of facial expressions complement self-assessment of mood and may serve as a means of objectification of mood change. The concordance between self-assessment of mood change and facial expression is modulated by personality factors.
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