AI-driven Positive Psychology:New Pathways with Machine Learning and Naturally Occurred Datasets
This paper explores the specific challenges of positive psychology in the rapid development of computational intelligence,and analyzes the potential opportunities for machine learning and spontaneous generation of datasets to address these challenges.Machine learning can extract nonlinear relationships related to human cognition from high-dimensional data,which may become a new method for studying human cognition and emotions.Naturally occurred datasets can more realistically reflect human behavior and psychological processes,providing researchers with efficient research materials.These emerging technologies provide positive psychology with a whole new perspective,which can more comprehensively understand human behavior and psychology,promote research on cultural differences,theoretical updates,and intervention strategy evaluations.Future research needs to explore the integration of machine learning,naturally occurred dataset,and positive psychology theories to gain an in-depth understanding of the diversity and complexity of human behaviors and emotions.
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