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Extensive Simulation Of Human-Robot Interaction For Critical Care Telemedicine.

, , , , and . ANNSIM, page 329-340. IEEE, (2022)

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MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning., , , , , and . ICCV, page 13158-13168. IEEE, (2021)EyeCar: Modeling the Visual Attention Allocation of Drivers in Semi-Autonomous Vehicles., , , , , and . CoRR, (2019)Toward Minimum Startle After Take-Over Request: A Preliminary Study of Physiological Data., , , , , and . AutomotiveUI (adjunct), page 27-29. ACM, (2020)Deep-Learning Enabled Assessment of Neurocognitive Performance in Object Following in Mixed Reality., , , , and . CHASE, page 203-207. IEEE, (2022)The effects of augmented reality on improving spatial problem solving for object assembly., and . Adv. Eng. Informatics, (2018)Can Intelligent Agent Improve Human-Machine Team Performance Under Cyberattacks?, , , and . IHSI, volume 903 of Advances in Intelligent Systems and Computing, page 725-730. Springer, (2019)A Case Study of Trust on Autonomous Driving., , , , , , and . ITSC, page 4368-4373. IEEE, (2019)Exploring gaze Behavior to Assess Performance in Digital Game-based Learning Systems., , , and . WSC, page 2447-2458. IEEE, (2018)A Real-Time Analysis of Human Performance in Interactive and Adaptive Mixed-Reality Simulation., and . CHASE, page 198-202. IEEE, (2022)Digital Twin and Agent-Based Simulation: Co-Simulation to Support Intelligent Navigation of Healthcare Mobile Robot., , , and . ANNSIM, page 208-219. IEEE, (2023)