AIMC Topic: Personal Satisfaction

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Using Artificial Intelligence to assess the impact of social, physical, and financial health and personality on subjective well-being in a representative, multinational sample of older European and Israeli adults.

Journal of global health
BACKGROUND: Subjective well-being (SWB) is an important outcome influenced by other aspects of health and personality. However, we know little about the independent effects of multiple health and personality dimensions on SWB in large, representative...

Relative importance of key life domains in explaining life satisfaction among older adults.

Journal of psychosomatic research
OBJECTIVE: Life satisfaction is a key element contributing to successful aging. Limited empirical studies have specifically explored the nature of the relationship between domain-specific satisfaction and global life satisfaction among older adults. ...

The satisfaction of ecological environment in sports public services by artificial intelligence and big data.

Scientific reports
In order to gain a more accurate understanding and enhance the relationship between the fitness ecological environment and artificial intelligence (AI)-driven sports public services, this study combines a Convolutional Neural Network (CNN) approach b...

Enhancing happiness and well-being: AI-driven solutions for accessible, inclusive travel experiences for people with disabilities.

Disability and rehabilitation. Assistive technology
PURPOSE: This study explores the relationship between happiness and well-being, with a particular focus on how Artificial Intelligence (AI) serves as a catalyst for enhancing the quality of life of individuals with disabilities. The research aims to ...

A validity and reliability study of the artificial intelligence attitude scale (AIAS-4) and its relationship with social media addiction and eating behaviors in Turkish adults.

BMC public health
BACKGROUND: In recent years, there has been a rapid increase in the use of the internet and social media. Billions of people worldwide use social media and spend an average of 2.2 h a day on these platforms. At the same time, artificial intelligence ...

Finding purpose: Integrated latent profile and machine learning analyses identify purpose in life as an important predictor of high-functioning recovery after alcohol treatment.

Addictive behaviors
BACKGROUND: Recent investigations of recovery from alcohol use disorder (AUD) have distinguished subgroups of high and low functioning recovery in data from randomized controlled trials of behavioral treatments for AUD. Analyses considered various in...

Using machine learning to explore the efficacy of administrative variables in prediction of subjective-wellbeing outcomes in New Zealand.

Scientific reports
The growing acknowledgment of population wellbeing as a key indicator of societal prosperity has propelled governments worldwide to devise policies aimed at improving their citizens' overall wellbeing. In New Zealand, the General Social Survey provid...

Accuracy, satisfaction, and impact of custom GPT in acquiring clinical knowledge: Potential for AI-assisted medical education.

Medical teacher
BACKGROUND: Recent advancements in artificial intelligence (AI) have enabled the customization of large language models to address specific domains such as medical education. This study investigates the practical performance of a custom GPT model in ...

Prediction of the End of a Romantic Relationship in Peruvian Youth and Adults: A Machine Learning Approach.

The Journal of general psychology
This study explores the effectiveness of machine learning models in predicting the end of romantic relationships among Peruvian youth and adults, considering various socioeconomic and personal attributes. The study implements logistic regression, gra...

Subjective well-being of children with special educational needs: Longitudinal predictors using machine learning.

Applied psychology. Health and well-being
Children with special educational needs (SEN) are a diverse group facing numerous challenges related to well-being and mental health. Understanding the predictors of well-being in this population requires the incorporation of diverse factors along wi...