Optimal fidelity selection for improved performance in human-in-the-loop queues for underwater search
P Gupta, V Srivastava - arXiv preprint arXiv:2311.06381, 2023 - arxiv.org
In the context of human-supervised autonomy, we study the problem of optimal fidelity
selection for a human operator performing an underwater visual search task. Human …
selection for a human operator performing an underwater visual search task. Human …
Using Multimodal Methods and Machine Learning to Recognize Mental Workload: Distinguishing Between Underload, Moderate Load, and Overload
Z Jiang, X Li, L Ge, J Xu, Y Lu, Y Zhang… - International Journal of …, 2024 - Taylor & Francis
Mental workload recognition is of great significance in preventing human errors and
accidents. This study constructed a multimodal recognition scheme to recognize three …
accidents. This study constructed a multimodal recognition scheme to recognize three …
Mutually Adaptive Shared Control between Human Operator and Autonomy in Ground Vehicles
Y Weng - 2022 - deepblue.lib.umich.edu
Semi-autonomous driving can leverage the benefits of self-driving vehicle technologies
today, even if the latter may still be limited in scope and reliability for fully autonomous …
today, even if the latter may still be limited in scope and reliability for fully autonomous …
Explaining Driving Attention Based on Height Difference of Building Groups in Urban Environment
Y Xiong - papers.ssrn.com
Eye-tracking data in driving contains rich information. Visual attention rules can be extracted
from these data through effective analysis and statistical methods. However, most of the …
from these data through effective analysis and statistical methods. However, most of the …