AIMC Topic: Models, Psychological

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Modeling engagement in long-term, in-home socially assistive robot interventions for children with autism spectrum disorders.

Science robotics Feb 26, 2020
Socially assistive robotics (SAR) has great potential to provide accessible, affordable, and personalized therapeutic interventions for children with autism spectrum disorders (ASD). However, human-robot interaction (HRI) methods are still limited in...
Child Models, Theoretical Robotics Feasibility Studies Algorithms Autism Spectrum Disorder Precision Medicine User-Computer Interface Social Behavior Self-Help Devices Communication Devices for People with Disabilities Child Behavior Supervised Machine Learning Cues Models, Psychological Humans Home Care Services
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Utility of MemTrax and Machine Learning Modeling in Classification of Mild Cognitive Impairment.

Journal of Alzheimer's disease : JAD Jan 1, 2020
BACKGROUND: The widespread incidence and prevalence of Alzheimer's disease and mild cognitive impairment (MCI) has prompted an urgent call for research to validate early detection cognitive screening and assessment.
Cross-Sectional Studies Male Humans Middle Aged Machine Learning Cognitive Dysfunction Neuropsychological Tests Female Aged Models, Psychological Mental Status and Dementia Tests
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What health records data are required for accurate prediction of suicidal behavior?

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: The study sought to evaluate how availability of different types of health records data affect the accuracy of machine learning models predicting suicidal behavior.
Electronic Health Records Female Risk Factors Aged Humans Machine Learning Suicide, Attempted Surveys and Questionnaires Adolescent Suicide Adult Male Middle Aged Risk Assessment Logistic Models Self Report Models, Psychological
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A review of computational models of basic rule learning: The neural-symbolic debate and beyond.

Psychonomic bulletin & review Aug 1, 2019
We present a critical review of computational models of generalization of simple grammar-like rules, such as ABA and ABB. In particular, we focus on models attempting to account for the empirical results of Marcus et al. (Science, 283(5398), 77-80 19...
Generalization, Psychological Language Development Humans Neural Networks, Computer Computer Simulation Learning Infant Models, Psychological Symbolism
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Conceptualization in reference production: Probabilistic modeling and experimental testing.

Psychological review Apr 1, 2019
In psycholinguistics, there has been relatively little work investigating conceptualization-how speakers decide which concepts to express. This contrasts with work in natural language generation (NLG), a subfield of artificial intelligence, where muc...
Psycholinguistics Adult Models, Statistical Models, Psychological Verbal Behavior Humans Artificial Intelligence Young Adult
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Episodic-Memory Performance in Machine Learning Modeling for Predicting Cognitive Health Status Classification.

Journal of Alzheimer's disease : JAD Jan 1, 2019
BACKGROUND: Memory dysfunction is characteristic of aging and often attributed to Alzheimer's disease (AD). An easily administered tool for preliminary assessment of memory function and early AD detection would be integral in improving patient manage...
Humans Dementia Machine Learning Cognition Female Databases, Factual Alzheimer Disease Male Mass Screening Neuropsychological Tests Aged Aging Health Status Models, Psychological Aged, 80 and over Middle Aged Memory, Episodic Adult Cognitive Dysfunction
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A review of abstract concept learning in embodied agents and robots.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences Aug 5, 2018
This paper reviews computational modelling approaches to the learning of abstract concepts and words in embodied agents such as humanoid robots. This will include a discussion of the learning of abstract words such as 'use' and 'make' in humanoid rob...
Learning Speech Robotics Models, Psychological Concept Formation Humans
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Speech emotion recognition based on brain and mind emotional learning model.

Journal of integrative neuroscience Jan 1, 2018
Speech emotion recognition is a challenging obstacle to enabling communication between humans and machines. The present study introduces a new model of speech emotion recognition based on the relationship between the human brain and mind. According t...
Speech Perception Pattern Recognition, Physiological Memory, Long-Term Memory, Short-Term Pattern Recognition, Automated Models, Psychological Computer Simulation Learning Emotions Humans Models, Neurological Neural Networks, Computer Machine Learning Brain
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Predicting the perception of performed dynamics in music audio with ensemble learning.

The Journal of the Acoustical Society of America Mar 1, 2017
By varying the dynamics in a musical performance, the musician can convey structure and different expressions. Spectral properties of most musical instruments change in a complex way with the performed dynamics, but dedicated audio features for model...
Auditory Perception Time Perception Loudness Perception Pitch Perception Models, Psychological Machine Learning Humans Judgment Computer Simulation Signal Processing, Computer-Assisted Reproducibility of Results Music Acoustics Time Factors Periodicity Sound Spectrography Acoustic Stimulation
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Gaussian process dynamical models for multimodal affect recognition.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Affective computing systems has a great potential in applications for biofeedback systems and cognitive conductual therapies. Here, by analyzing the physiological behavior of a given subject, we can infer the affective state of an emotional process. ...
Models, Psychological Normal Distribution Arousal Humans Support Vector Machine Affect
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