scispace - formally typeset
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
More filters
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

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
More filters
Journal ArticleDOI

Progress on a cognitive-motivational-relational theory of emotion.

TL;DR: The authors examined what a theory of emotion must do and basic issues that it must address, including definitional issues, whether or not physiological activity should be a defining attribute, categorical versus dimensional strategies, the reconciliation of biological universals with sociocultural sources of variability, and a classification of the emotions.
BookDOI

The psychology of emotions

TL;DR: In this paper, the origins and functions of emotions and their relationship to cognition, action, and personality are defined and discussed. But they do not discuss the relationship between emotion and cognition.
Journal ArticleDOI

A laboratory task for induction of mood states

TL;DR: Post-experimental questionnaire data strongly supported the conclusion that Elation and Depression treatments had indeed induced elation and depression, and indicated that the obtained mood changes could not be attributed to artifactual effects.
Journal ArticleDOI

Appraisal components, core relational themes, and the emotions

TL;DR: In this article, the authors experimentally tested the contributions of specific appraisals, considered at both molecular and molar levels of analysis, to the experience of four emotions (anger, guilt, fear/anxiety, and sadness) using a two-stage directed imagery task.
Related Papers (5)