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Predicting Affective States from Screen Text Sentiment
We employed linear regression, zero-shot, and multi-shot prompting using a large language model (LLM) to analyse relationships between screen text and affective states.
Leveraging LLMs to Predict Affective States via Smartphone Sensor Features
Our findings reveal that LLMs can make promising predictions of affect measures using solely smartphone sensing data.
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