UC3M4Safety Database - List of Audiovisual Stimuli (Video)
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'EMPATIA-CM (Comprehensive Protection of Gender-based Violence Victims through Multimodal Affective Computing) is a research project that aims to generally understand the reactions of Gender-based Violence Victims to situations of danger, generate mechanisms for automatic detection of these situations and study how to react in a comprehensive, coordinated and effective way to protect them in the most optimal way possible.The list of audiovisual stimuli contains the description of the 79 audiovisual stimuli (film title, total duration, video type and scene description) used in the experiment' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Audiovisual databases","Audiovisual stimuli","Gender-based violence","Gender perspective","Machine Learning"]} <|eot_id|>
 Here is the Description of a dataset. Description:'EMPATIA-CM (Comprehensive Protection of Gender-based Violence Victims through Multimodal Affective Computing) is a research project that aims to generally understand the reactions of Gender-based Violence Victims to situations of danger, generate mechanisms for automatic detection of these situations and study how to react in a comprehensive, coordinated and effective way to protect them in the most optimal way possible.The list of audiovisual stimuli contains the description of the 79 audiovisual stimuli (film title, total duration, video type and scene description) used in the experiment' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
EMPATIA-CM (Comprehensive Protection of Gender-based Violence Victims through Multimodal Affective Computing) is a research project that aims to generally understand the reactions of Gender-based Violence Victims to situations of danger, generate mechanisms for automatic detection of these situations and study how to react in a comprehensive, coordinated and effective way to protect them in the most optimal way possible.The list of audiovisual stimuli contains the description of the 79 audiovisual stimuli (film title, total duration, video type and scene description) used in the experiment
Audiovisual databases; Audiovisual stimuli; Gender-based violence; Gender perspective; Machine Learning