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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

Classification of Reaction Time in Simulated Multiple Robot Tele-Exploration

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

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

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

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