AIMC Topic: Fear
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Detecting fine and elaborate movements with piezo sensors provides non-invasive access to overlooked behavioral components.
Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
Nov 11, 2021
Behavioral phenotyping devices have been successfully used to build ethograms, but many aspects of behavior remain out of reach of available phenotyping systems. We now report on a novel device, which consists in an open-field platform resting on hig...
Emotion Correlation Mining Through Deep Learning Models on Natural Language Text.
IEEE transactions on cybernetics
Sep 15, 2021
Emotion analysis has been attracting researchers' attention. Most previous works in the artificial-intelligence field focus on recognizing emotion rather than mining the reason why emotions are not or wrongly recognized. The correlation among emotion...
Machine Learning Methods for Fear Classification Based on Physiological Features.
Sensors (Basel, Switzerland)
Jul 1, 2021
This paper focuses on the binary classification of the emotion of fear, based on the physiological data and subjective responses stored in the DEAP dataset. We performed a mapping between the discrete and dimensional emotional information considering...
An international survey on AI in radiology in 1,041 radiologists and radiology residents part 1: fear of replacement, knowledge, and attitude.
European radiology
Mar 20, 2021
OBJECTIVES: Radiologists' perception is likely to influence the adoption of artificial intelligence (AI) into clinical practice. We investigated knowledge and attitude towards AI by radiologists and residents in Europe and beyond.
Fear Recognition for Women Using a Reduced Set of Physiological Signals.
Sensors (Basel, Switzerland)
Feb 25, 2021
Emotion recognition is benefitting from the latest research into physiological monitoring and wireless communications, among other remarkable achievements. These technologies can indeed provide solutions to protect vulnerable people in scenarios such...
Modeling anxiety and fear of COVID-19 using machine learning in a sample of Chinese adults: associations with psychopathology, sociodemographic, and exposure variables.
Anxiety, stress, and coping
Jan 26, 2021
OBJECTIVES: Research during prior virus outbreaks has examined vulnerability factors associated with increased anxiety and fear.
Use of Artificial Intelligence in Endoscopic Training: Is Deskilling a Real Fear?
Gastroenterology
Jan 5, 2021
Emotion Elicitation Under Audiovisual Stimuli Reception: Should Artificial Intelligence Consider the Gender Perspective?
International journal of environmental research and public health
Nov 17, 2020
Identification of emotions triggered by different sourced stimuli can be applied to automatic systems that help, relieve or protect vulnerable groups of population. The selection of the best stimuli allows to train these artificial intelligence-based...
Effect of Social Anxiety on the Adoption of Robotic Training Partner.
Cyberpsychology, behavior and social networking
Nov 12, 2020
With the development of artificial intelligence technologies, robotic training partner is becoming a reality, which is a substitute for human training partner. Socially anxious individuals feel uncomfortable in front of unfamiliar people or when bein...
Zebrafish exhibit associative learning for an aversive robotic stimulus.
Lab animal
Aug 10, 2020
Zebrafish have quickly emerged as a species of choice in preclinical research, holding promise to advance the field of behavioral pharmacology through high-throughput experiments. Besides biological and heuristic considerations, zebrafish also consti...
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