AIMC Topic: Psychology

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The revolution of generative artificial intelligence in psychology: The interweaving of behavior, consciousness, and ethics.

Acta psychologica Nov 9, 2024
In recent years, there have been unparalleled prospects for psychological study due to the swift advancement of generative artificial intelligence (AI) in natural language processing, shown by ChatGPT. This review article looks into the uses and effe...
Social Interaction Humans Psychology Consciousness Artificial Intelligence Natural Language Processing
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The good, the bad, and the GPT: Reviewing the impact of generative artificial intelligence on psychology.

Current opinion in psychology Aug 21, 2024
This review explores the impact of Generative Artificial Intelligence (GenAI)-a technology capable of autonomously creating new content, ideas, or solutions by learning from extensive data-on psychology. GenAI is changing research methodologies, diag...
Humans Psychology Artificial Intelligence
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Simulation-based design optimization for statistical power: Utilizing machine learning.

Psychological methods Dec 14, 2023
The planning of adequately powered research designs increasingly goes beyond determining a suitable sample size. More challenging scenarios demand simultaneous tuning of multiple design parameter dimensions and can only be addressed using Monte Carlo...
Machine Learning Research Design Data Interpretation, Statistical Humans Psychology Computer Simulation Models, Statistical
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Everything has its price: Foundations of cost-sensitive machine learning and its application in psychology.

Psychological methods Aug 10, 2023
Psychology has seen an increase in the use of machine learning (ML) methods. In many applications, observations are classified into one of two groups (binary classification). Off-the-shelf classification algorithms assume that the costs of a misclass...
Psychology Humans Machine Learning
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Interpretable machine learning for psychological research: Opportunities and pitfalls.

Psychological methods May 25, 2023
In recent years, machine learning methods have become increasingly popular prediction methods in psychology. At the same time, psychological researchers are typically not only interested in making predictions about the dependent variable, but also in...
Data Interpretation, Statistical Psychology Machine Learning Humans Neural Networks, Computer
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Important Correlates of Purpose in Life in a Diverse Population-Based Cohort: A Machine Learning Approach.

The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry Mar 16, 2023
BACKGROUND: Purpose-in-life (PiL) refers to the tendency to derive meaning and purpose from daily life experiences. Individuals with higher PiL were more likely to have better physical, mental, and cognitive health in prospective studies. Here, we ai...
Psychology Black People Sociodemographic Factors White People Personal Satisfaction Humans Machine Learning
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Let the algorithm speak: How to use neural networks for automatic item generation in psychological scale development.

Psychological methods Feb 16, 2023
Measurement is at the heart of scientific research. As many-perhaps most-psychological constructs cannot be directly observed, there is a steady demand for reliable self-report scales to assess latent constructs. However, scale development is a tedio...
Humans Natural Language Processing Psychology Adult Psychometrics Neural Networks, Computer Algorithms
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Using natural language processing and machine learning to replace human content coders.

Psychological methods Aug 25, 2022
Content analysis is a common and flexible technique to quantify and make sense of qualitative data in psychological research. However, the practical implementation of content analysis is extremely labor-intensive and subject to human coder errors. Ap...
Qualitative Research Natural Language Processing Psychology Machine Learning Reproducibility of Results Humans
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Mediation analysis using Bayesian tree ensembles.

Psychological methods Jul 4, 2022
We present a general framework for causal mediation analysis using nonparametric Bayesian methods in the potential outcomes framework. Our model, which we refer to as the Bayesian causal mediation forests model, combines recent advances in Bayesian m...
Models, Statistical Decision Trees Machine Learning Psychology Mediation Analysis Data Interpretation, Statistical Bayes Theorem Humans
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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...
Suicide Psychology Models, Psychological Machine Learning Forecasting Humans
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