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Research @iHuman

LLM-Mediated Human–AI Interaction in Search and Rescue: Impact of Expertise on Attentional Allocation

Human Factor Analysis of Helicopter Accidents using Large Language Models

SHASTA A Simulator for Human and Swarm Team Applications

Selective Eye-gaze Augmentation To Enhance Imitation Learning In Atari Games

Transfer Learning of Motor Difficulty Classification in Physical Human-Robot Interaction Using Electromyography

Classification of Reaction Time in Simulated Multiple Robot Tele-Exploration

Task Difficulty Prediction in Physical Human Interaction using EEG and Deep Learning

Using Physiological Measurements to Analyze the Tactical Decisions in Human Swarm Teams

Extracting Interpretable EEG Features from a Deep Learning Model to Assess the Quality of HRI
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