UC3M4Safety Database - WEMAC: Biopsychosocial questionnaire and informed consent
<|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.Dichotomous or brief response questionnaire for collecting personal information and biopsychosocial context which could be modifying anxiety response' . 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" : ["Affective computing","Audiovisual stimuli","Basic emotions","Gender-based violence","Gender perspective","Machine Learning","Physiological and physical data"]} <|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.Dichotomous or brief response questionnaire for collecting personal information and biopsychosocial context which could be modifying anxiety response' . 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.Dichotomous or brief response questionnaire for collecting personal information and biopsychosocial context which could be modifying anxiety response
Affective computing; Audiovisual stimuli; Basic emotions; Gender-based violence; Gender perspective; Machine Learning; Physiological and physical data