Collective indexing of emotions in videos

Knautz, Kathrin; Stock, Wolfgang G.

doi:10.1108/00220411111183555

Cited by 19 publications

(10 citation statements)

References 59 publications

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“…Amateur video footage, in contrast, is an excellent alternative to motion pictures as a way to present more realistic emotion-inducing content. Knautz and Stock (2011), for example, presented a system for emotional video retrieval from YouTube by user voting and thus identified 20 videos, which elicited basic emotions or a neutral state.…”

mentioning

confidence: 99%

Eliciting positive, negative and mixed emotional states: A film library for affective scientists

Samson

Kreibig

Soderstrom

et al. 2015

Cognition and Emotion

105

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We describe the creation of a film library designed for researchers interested in positive (amusing), negative (repulsive), mixed (amusing and repulsive) and neutral emotional states. Three hundred 20-to 33-second film clips videotaped by amateurs were selected from video-hosting websites and screened in laboratory studies by 75 female participants on self-reported amusement and repulsion (Experiments 1 and 2). On the basis of pre-defined cut-off values, 51 positive, 39 negative, 59 mixed and 50 neutral film clips were selected. These film clips were then presented to 411 male and female participants in a large online study to identify film clips that reliably induced the target emotions (Experiment 3). Depending on the goal of the study, researchers may choose positive, negative, mixed or neutral emotional film clips on the basis of Experiments 1 and 2 or Experiment 3 ratings.

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confidence: 99%

Eliciting positive, negative and mixed emotional states: A film library for affective scientists

Samson

Kreibig

Soderstrom

et al. 2015

Cognition and Emotion

105

View full text Add to dashboard Cite

show abstract

“…Previous studies on affective content analysis have not always distinguished the differences between perceived and induced emotions. Even though consistencies between perceived and induced emotions have been shown in some studies [37], reseach on music emotions has discovered fundamental differences between perceived and induced emotions [8]. Previous work on emotions has also suggested that induced emotions could have more intensive arousal and less intensive valence ratings in comparison to perceived emotion ratings of the same stimuli [38].…”

Section: Perceived Vs Induced Emotionsmentioning

confidence: 99%

Recognizing Induced Emotions of Movie Audiences from Multimodal Information

Muszyński

Tian

Lai

et al. 2021

IEEE Trans. Affective Comput.

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Recognizing emotional reactions of movie audiences to affective movie content is a challenging task in affective computing. Previous research on induced emotion recognition has mainly focused on using audiovisual movie content. Nevertheless, the relationship between the perceptions of the affective movie content (perceived emotions) and the emotions evoked in the audiences (induced emotions) is unexplored. In this work, we studied the relationship between perceived and induced emotions of movie audiences. Moreover, we investigated multimodal modelling approaches to predict movie induced emotions from movie content based features, as well as physiological and behavioral reactions of movie audiences. To carry out analysis of induced and perceived emotions, we first extended an existing database for movie affect analysis by annotating perceived emotions in a crowd-sourced manner. We find that perceived and induced emotions are not always consistent with each other. In addition, we show that perceived emotions, movie dialogues, and aesthetic highlights are discriminative for movie induced emotion recognition besides spectators' physiological and behavioral reactions. Also, our experiments revealed that induced emotion recognition could benefit from including temporal information and performing multimodal fusion. Moreover, our work deeply investigated the gap between affective content analysis and induced emotion recognition by gaining insight into the relationships between aesthetic highlights, induced emotions, and perceived emotions.

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“…Previous work on affective content analysis does not always distinguish between perceived and induced emotions. Although consistencies between perceived and induced emotions have been found [16], music emotion research has identified fundamental differences between perceived and induced emotions (e.g. [5] and [17]).…”

Section: Perceived Vs Induced Emotionsmentioning

confidence: 99%

Recognizing induced emotions of movie audiences: Are induced and perceived emotions the same?

Tian

Muszyński

Lai

et al. 2017

2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII)

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Abstract-Predicting the emotional response of movie audiences to affective movie content is a challenging task in affective computing. Previous work has focused on using audiovisual movie content to predict movie induced emotions. However, the relationship between the audience's perceptions of the affective movie content (perceived emotions) and the emotions evoked in the audience (induced emotions) remains unexplored. In this work, we address the relationship between perceived and induced emotions in movies, and identify features and modelling approaches effective for predicting movie induced emotions. First, we extend the LIRIS-ACCEDE database by annotating perceived emotions in a crowd-sourced manner, and find that perceived and induced emotions are not always consistent. Second, we show that dialogue events and aesthetic highlights are effective predictors of movie induced emotions. In addition to movie based features, we also study physiological and behavioural measurements of audiences. Our experiments show that induced emotion recognition can benefit from including temporal context and from including multimodal information. Our study bridges the gap between affective content analysis and induced emotion prediction.

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Collective indexing of emotions in videos

Cited by 19 publications

References 59 publications

Eliciting positive, negative and mixed emotional states: A film library for affective scientists

Eliciting positive, negative and mixed emotional states: A film library for affective scientists

Recognizing Induced Emotions of Movie Audiences from Multimodal Information

Recognizing induced emotions of movie audiences: Are induced and perceived emotions the same?

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