日常生活中个人之间及个人内部经验的结构化差异。

Human experience varies across contexts and individuals. Yet, psychological studies typically seek to constrain rather than discover structured variation. Here we leverage a powerful alternative approach to examine variability in emotional experience by sampling multimodally from individuals across a variety of contexts throughout their daily life and employing unsupervised machine learning to discover reliable, person-specific, multimodal patterns of experience. Healthy adults ( N = 97) completed 14 days of biologically triggered experience sampling. Participants wore mobile cardiac monitors