Fine-tuned LLMs predict conversation turn-taking from sensor data in MR group tasks at 96% accuracy and 3.2x better than LSTM baselines for linguistic behaviors, but fail on shared attention and degrade sharply in simulation mode.
Aroma: A deep multi- task learning based simple and complex human activity recognition method using wearable sensors,
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TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction
Fine-tuned LLMs predict conversation turn-taking from sensor data in MR group tasks at 96% accuracy and 3.2x better than LSTM baselines for linguistic behaviors, but fail on shared attention and degrade sharply in simulation mode.