Early COVID-19 quarantine: A machine learning approach to model what differentiated the top 25% well-being scorers

Kyriazos, Theodoros A.; Galanakis, Michalis; Karakasidou, Eirini; Stalikas, Anastassios

doi:10.1016/j.paid.2021.110980

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Ai ML and The Study Of Individual Differences1

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2022

2024

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Cited by 9 publications

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“…In another study spanning the beginning of the COVID-19 pandemic, Gruda and Ojo (2022) were able to predict state anxiety as a result of individuals' extraversion scores over time. Relatedly, Kyriazos et al (2021) used an ML approach to identify individual profiles who scored high on well-being even throughout the pandemic, and Uddin et al (2021) applied ML to examine how socio-demographic status and personal attributes influenced compliance with COVID-19 preventive behaviors in Japan.…”

Section: Ai ML and The Study Of Individual Differencesmentioning

confidence: 99%

C-H-A-T-G-P-T, Find Out What it Means To Me: ChatGPT, Artificial Intelligence, and the Study of Individual Differences

Gruda¹,

Schermer²

2023

Preprint

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This review piece, partially compiled by responses to questions from an artificial intelligence (AI) program, ChatGPT, highlights the advantages of AI and machine learning (ML) in investigating and understanding personality and individual differences. Both AI and ML have been shown to be useful tools in fields such as clinical psychology, psychometrics, personality, emotion research, and cognition. In addition to highlighting the advantages of AI and ML in research, the present review also discusses some of the limitations of these new and developing tools.

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Section: Ai ML and The Study Of Individual Differencesmentioning

confidence: 99%