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cs.HC2024
Large Language Models Can Infer Personality from Free-Form User Interactions
Heinrich Peters, Moran Cerf, Sandra C. Matz
This study investigates the capacity of Large Language Models (LLMs) to infer the Big Five personality traits from free-form user interactions. The results demonstrate that a chatb…
cs.HC2024
Social Media Use is Predictable from App Sequences: Using LSTM and Transformer Neural Networks to Model Habitual Behavior
Heinrich Peters, Joseph B. Bayer, Sandra C. Matz +3
The present paper introduces a novel approach to studying social media habits through predictive modeling of sequential smartphone user behaviors. While much of the literature on m…