AIMC Topic: Affect

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Using computer-vision and machine learning to automate facial coding of positive and negative affect intensity.

PloS one Feb 5, 2019
Facial expressions are fundamental to interpersonal communication, including social interaction, and allow people of different ages, cultures, and languages to quickly and reliably convey emotional information. Historically, facial expression researc...
Affect Facial Expression Humans Artificial Intelligence Machine Learning Female Young Adult Adult Male Adolescent Video Recording
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Rapid detection of internalizing diagnosis in young children enabled by wearable sensors and machine learning.

PloS one Jan 16, 2019
There is a critical need for fast, inexpensive, objective, and accurate screening tools for childhood psychopathology. Perhaps most compelling is in the case of internalizing disorders, like anxiety and depression, where unobservable symptoms cause c...
Sensitivity and Specificity Male Signal Processing, Computer-Assisted Humans Female Anxiety Depression Wearable Electronic Devices Supervised Machine Learning Affect Psychopathology Psychology, Child Child, Preschool Child ROC Curve Logistic Models Models, Statistical
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A signature-based machine learning model for distinguishing bipolar disorder and borderline personality disorder.

Translational psychiatry Dec 13, 2018
Mobile technologies offer new opportunities for prospective, high resolution monitoring of long-term health conditions. The opportunities seem of particular promise in psychiatry where diagnoses often rely on retrospective and subjective recall of mo...
Humans Machine Learning Prospective Studies Borderline Personality Disorder ROC Curve Smartphone Mobile Applications Female Self Report Affect Adult Male Bipolar Disorder
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People are averse to machines making moral decisions.

Cognition Aug 11, 2018
Do people want autonomous machines making moral decisions? Nine studies suggest that that the answer is 'no'-in part because machines lack a complete mind. Studies 1-6 find that people are averse to machines making morally-relevant driving, legal, me...
Female Young Adult Adult Male Decision Making Affect Morals Humans Artificial Intelligence
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Self-Efficacy, Poststroke Depression, and Rehabilitation Outcomes: Is There a Correlation?

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 2, 2018
BACKGROUND: The sudden live changes of stroke survivors may lead to negative psychological and behavioral outcomes, including anxiety and depressive mood, which may compromise the rehabilitation process. Some personality features, such as self-effica...
Surveys and Questionnaires Self Efficacy Time Factors Treatment Outcome Recovery of Function Aged Male Middle Aged Depression Physical Therapy Modalities Stroke Rehabilitation Robotics Disability Evaluation Stroke Affect Motor Activity Humans Female
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Using machine learning and surface reconstruction to accurately differentiate different trajectories of mood and energy dysregulation in youth.

PloS one Jul 6, 2017
Difficulty regulating positive mood and energy is a feature that cuts across different pediatric psychiatric disorders. Yet, little is known regarding the neural mechanisms underlying different developmental trajectories of positive mood and energy r...
Parietal Lobe Temporal Lobe Parahippocampal Gyrus Machine Learning Image Interpretation, Computer-Assisted Female Affect Male Neuroimaging Case-Control Studies Adolescent Cerebral Cortex Humans Prefrontal Cortex Bipolar Disorder Child Longitudinal Studies Magnetic Resonance Imaging
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Effects of the Red Bull energy drink on cognitive function and mood in healthy young volunteers.

Journal of psychopharmacology (Oxford, England) Dec 14, 2016
The present study compared the cognitive and mood effects of two commercially available products, Red Bull energy drink 250 mL and Red Bull Sugarfree energy drink 250 mL, together with a matching placebo 250 mL. Twenty-four healthy young volunteers t...
Attention Cross-Over Studies Healthy Volunteers Affect Male Humans Caffeine Cognition Memory Female Double-Blind Method Energy Drinks Young Adult Vitamins Adult Glucose
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Externalising moods and psychological states in a cloud based system to enhance a pet-robot and child's interaction.

Biomedical engineering online Jul 15, 2016
BACKGROUND: This PATRICIA research project is about using pet robots to reduce pain and anxiety in hospitalized children. The study began 2 years ago and it is believed that the advances made in this project are significant. Patients, parents, nurses...
Humans Communication User-Computer Interface Affect Child Electric Power Supplies Mobile Applications Wireless Technology Robotics Play and Playthings Internet
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Effectiveness of a social robot, "Paro," in a VA long-term care setting.

Psychological services May 19, 2016
Interest in animal assisted interventions (AAI) has grown over the years, but acceptance of AAI by the clinical and research community has been hampered by safety, hygiene, and logistical concerns. Advances in the field of social robotics have provid...
Veterans Therapy, Computer-Assisted Social Behavior Patient Acceptance of Health Care Long-Term Care Reinforcement, Social Pilot Projects Follow-Up Studies Robotics Alzheimer Disease Affect Humans Mental Disorders Aged Male
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Effect of Subliminal Lexical Priming on the Subjective Perception of Images: A Machine Learning Approach.

PloS one Feb 11, 2016
The purpose of the study is to examine the effect of subliminal priming in terms of the perception of images influenced by words with positive, negative, and neutral emotional content, through electroencephalograms (EEGs). Participants were instructe...
Adult Male Normal Distribution Algorithms Electroencephalography Humans Support Vector Machine Judgment Language Reaction Time Machine Learning Emotions Evoked Potentials Female Affect Models, Statistical Pattern Recognition, Visual Young Adult Analysis of Variance Subliminal Stimulation Perception
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