Analysis of facial expressions of emotions in children
The study described in this guest blog post focuses on the facial expressions of emotions induced by affective stimuli in children aged between 7 and 14.
Read More arrow_forwardWith an automated tool for analysis of facial expressions, such as FaceReader, mood induction can be objectified.
All kinds of things affect in what kind of mood we are. For example, the situation of having diner and discovering new dishes that surprise you. Or, when youāre asked to give a presentation to many important people for the first time - which scares you - makes you nervous. Our mood can also be influenced by certain circumstances, such as a bad nightās sleep, being in a new and unfamiliar place, or facing a lockdown due to the COVID-19 pandemic.
Our mood is what one feels inside, whether pleasant or unpleasant. The factors that influence our mood are personal. Everyone is sensitive to certain factors in their own way. The same circumstances can affect other people differently. What is great for one person can be terrible for another.
Listening to music or watching a movie induces or intensifies mood states as well. Researchers wondered what the difference would be between young and old persons. Would the mood induction be more intense in older than in younger persons? Or are older persons perhaps better able to regulate their emotions?
The research group of Zempelin and Sejunaite of the Ulm University in Germany exposed 29 young participants (age 24.4 ± 2.3) and 28 old participants (age 69.2 ± 7.4) to film segments to induce four basic emotions: anger, disgust, happiness, and sadness.
A second goal of the experimental study was to find out how the information of subjective mood corresponds to analysis of mood using automated analysis of facial expressions.
Download the free FaceReader methodology note to learn more about facial expression analysis theory.
Four movie sequences were selected to present to the participants in a randomized order. Each to elicit another basic emotion:
During the session, the participant watched the movies on a screen while a camera recorded their faces to enable analysis of facial expressions using FaceReaderā¢. Using this automated software tool ensured that the success of mood induction could be objectified.
To assess the subjective mood on the other hand, participants were asked to complete three questionnaires:
Stimulus Presentation tool E-prime was used to present the scripts and videos to the participants. FaceReader was used to analyse the captured videos of the participantsā faces. The collected data from the experimental script and the camera was synchronized using The Observer XT.
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Analysis showed no effect of age on induction of any of the target emotions. Only for the target emotion sad the research team observed a difference between young and old faces, which might have been the result of āsmile wrinklesā that prevented the classification sad.
Furthermore, the researchers found that pre-exposure mood was to be associated with post-induction success for disgust and sadness. The association between pre-exposure facial expression of mood state and post-exposure intensity of facial expression was much more clear-cut for all emotions. This confirms the hypothesis that the emotional facial action modulates the subjective experience of emotion.
The researchers concluded that regardless of age, mood induction is successful using film clips targeting these emotions. Analysis of facial expression complements self-assessment of mood and may serve as a means of objectification of mood change in both young and old persons.
Zempelin, S.; Sejunaite, K.; Lanza, C. & Riepe, M.W. (2021). Emotion induction in young and old persons on watching movie segments: Facial expressions reflect subjective ratings. PLoS ONE, 16(6): e0253378. https://doi.org/10.1371/journal.pone.0253378
The study described in this guest blog post focuses on the facial expressions of emotions induced by affective stimuli in children aged between 7 and 14.
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