Recognizing Induced Emotions of Movie Audiences: Are Induced and Perceived Emotions the Same?

Tian, L., Muszynski, M., Lai, C., Moore, J., Kostoulas, T., Lombardo, P., Pun, T. and Chanel, G., 2017. Recognizing Induced Emotions of Movie Audiences: Are Induced and Perceived Emotions the Same? In: 7th International Conference on Affective Computing and Intelligent Interaction (ACII2017), 23-26 October 2017, San Antonio, Texas, USA.

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Abstract

Predicting the emotional response of movie audi- ences 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 in- duced 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 be- havioural 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.

Item Type:Conference or Workshop Item (Lecture)
Group:Faculty of Science & Technology
ID Code:29836
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:09 Oct 2017 15:09
Last Modified:30 Oct 2017 09:43

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