AIMC Topic: Models, Psychological

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Three Challenges for AI-Assisted Decision-Making.

Perspectives on psychological science : a journal of the Association for Psychological Science Jul 13, 2023
Artificial intelligence (AI) has the potential to improve human decision-making by providing decision recommendations and problem-relevant information to assist human decision-makers. However, the full realization of the potential of human-AI collabo...
Artificial Intelligence Decision Making Models, Psychological Humans
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Unpredictable robots elicit responsibility attributions.

The Behavioral and brain sciences Apr 5, 2023
Do people hold robots responsible for their actions? While Clark and Fischer present a useful framework for interpreting social robots, we argue that they fail to account for people's willingness to assign responsibility to robots in certain contexts...
Emotions Robotics Models, Psychological Humans Behavior Conscience
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Reproducible neuroimaging features for diagnosis of autism spectrum disorder with machine learning.

Scientific reports Feb 23, 2022
Autism spectrum disorder (ASD) is the fourth most common neurodevelopmental disorder, with a prevalence of 1 in 160 children. Accurate diagnosis relies on experts, but such individuals are scarce. This has led to increasing interest in the developmen...
Humans Adult Male Adolescent Neuroimaging Models, Psychological Child Female ROC Curve Reproducibility of Results Magnetic Resonance Imaging Young Adult Machine Learning Autism Spectrum Disorder Brain
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A mental models approach for defining explainable artificial intelligence.

BMC medical informatics and decision making Dec 9, 2021
BACKGROUND: Wide-ranging concerns exist regarding the use of black-box modelling methods in sensitive contexts such as healthcare. Despite performance gains and hype, uptake of artificial intelligence (AI) is hindered by these concerns. Explainable A...
Health Facilities Models, Psychological Humans Artificial Intelligence Delivery of Health Care
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EEG-based detection of emotional valence towards a reproducible measurement of emotions.

Scientific reports Nov 3, 2021
A methodological contribution to a reproducible Measurement of Emotions for an EEG-based system is proposed. Emotional Valence detection is the suggested use case. Valence detection occurs along the interval scale theorized by the Circumplex Model of...
Electroencephalography Signal Processing, Computer-Assisted Models, Psychological Adult Male Emotions Humans Neural Networks, Computer Algorithms Female Reproducibility of Results
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Modeling learner-controlled mental model learning processes by a second-order adaptive network model.

PloS one Aug 24, 2021
Learning knowledge or skills usually is considered to be based on the formation of an adequate internal mental model as a specific type of mental network. The learning process for such a mental model conceptualised as a mental network, is a form of (...
Adaptation, Physiological Models, Statistical Humans Automobile Driving Neural Networks, Computer Models, Psychological Learning
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COVID-19 sentiment analysis via deep learning during the rise of novel cases.

PloS one Aug 19, 2021
Social scientists and psychologists take interest in understanding how people express emotions and sentiments when dealing with catastrophic events such as natural disasters, political unrest, and terrorism. The COVID-19 pandemic is a catastrophic ev...
Models, Psychological Humans India Pandemics Social Media COVID-19 Models, Biological SARS-CoV-2 Deep Learning
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Explaining distortions in metacognition with an attractor network model of decision uncertainty.

PLoS computational biology Jul 26, 2021
Metacognition is the ability to reflect on, and evaluate, our cognition and behaviour. Distortions in metacognition are common in mental health disorders, though the neural underpinnings of such dysfunction are unknown. One reason for this is that mo...
Metacognition Humans Models, Psychological Neural Networks, Computer Judgment Mental Disorders Uncertainty Bias Computational Biology Psychomotor Performance Models, Neurological Linear Models Decision Making
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Behavioral correlates of cortical semantic representations modeled by word vectors.

PLoS computational biology Jun 23, 2021
The quantitative modeling of semantic representations in the brain plays a key role in understanding the neural basis of semantic processing. Previous studies have demonstrated that word vectors, which were originally developed for use in the field o...
Humans Functional Neuroimaging Computational Biology Brain Behavior Magnetic Resonance Imaging Adult Models, Neurological Language Auditory Perception Male Brain Mapping Motion Pictures Semantics Female Middle Aged Natural Language Processing Models, Psychological Young Adult Visual Perception
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A direct comparison of theory-driven and machine learning prediction of suicide: A meta-analysis.

PloS one Apr 12, 2021
Theoretically-driven models of suicide have long guided suicidology; however, an approach employing machine learning models has recently emerged in the field. Some have suggested that machine learning models yield improved prediction as compared to t...
Humans Machine Learning Models, Psychological Forecasting Suicide Psychology
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