Equal contributors Here we present a dataset with a description of portrayed emotions in the movie ”Forrest Gump”. A total of 12 observers independently annotated emotional episodes regarding their temporal location and duration. The nature of an emotion was characterized with basic attributes, such as arousal and valence, as well as explicit emotion category labels. In addition, annotations include a record of the perceptual evidence for the presence of an emotion. Two variants of the movie were annotated separately: 1) an audio-movie version of Forrest Gump that has been used as a stimulus for the acquisition of a large public functional brain imaging dataset, and 2) the original audio-visual movie. We present reliability and consistency ...
Emotion expression in human-human interaction takes place via various types of information, includin...
Using movies and narratives as naturalistic stimuli in human neuroimaging studies has yielded signif...
In this paper, we propose an approach for affective characterization of movie scenes based on the em...
Here we present a dataset with a description of portrayed emotions in the movie ”Forrest Gump”. A to...
Equal contributors Here we present a dataset with a description of portrayed emotions in the movie ”...
Funding Information: Funding: This research was partly funded by Academy of Finland grant number 313...
Emotion elicitation using emotional film clips is one of the most common and ecologically valid meth...
Predicting the emotional response of movie audiences to affective movie content is a challenging tas...
Naturalistic stimuli such as movies, music, and spoken and written stories elicit strong emotions an...
The ability to experimentally manipulate participants’ affective state represents the cornerstone of...
The economic success of a movie depends on audience satisfaction and on how much they are emotionall...
Induced affect is the emotional effect of an object on an individual. It can be quantified through tw...
Understanding emotion is critical for a science of healthy and disordered brain function, but the ne...
We introduce AVCAffe, the first Audio-Visual dataset consisting of Cognitive load and Affect attribu...
The economic success of a movie depends on audience satisfaction and on how much they are emotionall...
Emotion expression in human-human interaction takes place via various types of information, includin...
Using movies and narratives as naturalistic stimuli in human neuroimaging studies has yielded signif...
In this paper, we propose an approach for affective characterization of movie scenes based on the em...
Here we present a dataset with a description of portrayed emotions in the movie ”Forrest Gump”. A to...
Equal contributors Here we present a dataset with a description of portrayed emotions in the movie ”...
Funding Information: Funding: This research was partly funded by Academy of Finland grant number 313...
Emotion elicitation using emotional film clips is one of the most common and ecologically valid meth...
Predicting the emotional response of movie audiences to affective movie content is a challenging tas...
Naturalistic stimuli such as movies, music, and spoken and written stories elicit strong emotions an...
The ability to experimentally manipulate participants’ affective state represents the cornerstone of...
The economic success of a movie depends on audience satisfaction and on how much they are emotionall...
Induced affect is the emotional effect of an object on an individual. It can be quantified through tw...
Understanding emotion is critical for a science of healthy and disordered brain function, but the ne...
We introduce AVCAffe, the first Audio-Visual dataset consisting of Cognitive load and Affect attribu...
The economic success of a movie depends on audience satisfaction and on how much they are emotionall...
Emotion expression in human-human interaction takes place via various types of information, includin...
Using movies and narratives as naturalistic stimuli in human neuroimaging studies has yielded signif...
In this paper, we propose an approach for affective characterization of movie scenes based on the em...