Journal ArticleDOI
Assessing the effectiveness of a large database of emotion-eliciting films : a new tool for emotion researchers
TLDR
In this article, the authors developed and tested the effectiveness of a new and comprehensive set of emotional film excerpts and found that the film clips were effective with regard to several criteria such as emotional discreteness, arousal, positive and negative affect.Abstract:
Using emotional film clips is one of the most popular and effective methods of emotion elicitation. The main goal of the present study was to develop and test the effectiveness of a new and comprehensive set of emotional film excerpts. Fifty film experts were asked to remember specific film scenes that elicited fear, anger, sadness, disgust, amusement, tenderness, as well as emotionally neutral scenes. For each emotion, the 10 most frequently mentioned scenes were selected and cut into film clips. Next, 364 participants viewed the film clips in individual laboratory sessions and rated each film on multiple dimensions. Results showed that the film clips were effective with regard to several criteria such as emotional discreteness, arousal, positive and negative affect. Finally, ranking scores were computed for 24 classification criteria: Subjective arousal, positive and negative affect (derived from the PANAS; Watson & Tellegen, 1988), a positive and a negative affect scores derived from the Differential Emotions Scale (DES; Izard et al., 1974), six emotional discreteness scores (for anger, disgust, sadness, fear, amusement and tenderness), and 15 “mixed feelings” scores assessing the effectiveness of each film excerpt to produce blends of specific emotions. In addition, a number of emotionally neutral film clips were also validated. The database and editing instructions to construct the film clips have been made freely available in a website.read more
Citations
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Journal ArticleDOI
A Multimodal Database for Affect Recognition and Implicit Tagging
TL;DR: Results show the potential uses of the recorded modalities and the significance of the emotion elicitation protocol and single modality and modality fusion results for both emotion recognition and implicit tagging experiments are reported.
Journal ArticleDOI
Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks
Wei-Long Zheng,Bao-Liang Lu +1 more
TL;DR: The experiment results show that neural signatures associated with different emotions do exist and they share commonality across sessions and individuals, and the performance of deep models with shallow models is compared.
Journal ArticleDOI
Regulatory Flexibility: An Individual Differences Perspective on Coping and Emotion Regulation.
TL;DR: A heuristic individual differences framework is proposed and research on three sequential components of flexibility for which propensities and abilities vary are reviewed: sensitivity to context, availability of a diverse repertoire of regulatory strategies, and responsiveness to feedback.
Journal ArticleDOI
Multimodal Emotion Recognition in Response to Videos
TL;DR: The results over a population of 24 participants demonstrate that user-independent emotion recognition can outperform individual self-reports for arousal assessments and do not underperform for valence assessments.
Journal ArticleDOI
Bodily maps of emotions
TL;DR: It is proposed that emotions are represented in the somatosensory system as culturally universal categorical somatotopic maps, and maps of bodily sensations associated with different emotions using a unique topographical self-report method.
References
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Pleasure, displeasure, and mixed feelings: Are semantic opposites mutually exclusive?
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On the Paucity of Positive Emotions
TL;DR: In a content analysis of psychological textbooks, Carlson as mentioned in this paper found that approximately twice as much space was devoted to negative as to positive emotions, and that positive emotions have proved to be a source of embarrassment to psychologists.
Journal ArticleDOI
The role of facial response in the experience of emotion: more methodological problems and a meta-analysis.
TL;DR: The effect of facial feedback on emotional experience is less than convincing and the effect size of facial behavior on self-reported mood is actually only of small to moderate value and is most likely an inflated estimate.
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