Covertly-Induced Emotional States Modulate Task Performance

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A total of 44 movies (total duration of 15 hours and 20 minutes) selected from the set of 160 movies are provided as development set for both subtasks with the annotations according

A framework is proposed to predict the emotional impact of movies by using the audio, action, object and scene features.. First, four state-of-the-art features are extracted from

However, as the size of the training dataset is larger than that from last year and time sequential models should perform better on bigger dataset, this year we adopt LSTM as

Our approach leverages image, audio, and face based features computed using pre-trained neural networks.. These features were computed over time and modeled using a gated recurrent

Therefore, as a way to understand how emotions are related with the game performance, this research proposal aims to test how different emotional states impact on the player

Global emotion prediction: given a short video clip (around 10 seconds), participants’ systems are expected to predict a score of induced valence (negative-positive) and induced

When the robot receives a social interaction signal (the display of an emotional facial expression of anger or hap- piness), it triggers the learning of a new visual place cell as