Dream content analysis using Artificial Intelligence
University Library Heidelberg June 26, 2018 Patrick Mcnamara, Kelly Duffy-Deno, Tom Marsh et al. 11 citations
An artificial intelligence algorithm trained on over 35,000 dreams from 635 users identified 47 reliably recurring dream themes, building on prior dream content ontologies. Female dreams showed higher incidence for most themes compared to male dreams, though effect sizes were small. The algorithm also identified which themes best predicted whether a dream was associated with positive or negative mood. The AI-based system is a promising tool for analyzing dream content patterns.