An Overview of Approaches and Methods for the Cognitive Workload Estimation in Human–Machine Interaction Scenarios through Wearables Sensors

S Iarlori, D Perpetuini, M Tritto, D Cardone, A Tiberio… - …, 2024 - mdpi.com
Background: Human-Machine Interaction (HMI) has been an important field of research in
recent years, since machines will continue to be embedded in many human actvities in …

Can a single human supervise a swarm of 100 heterogeneous robots?

JA Adams, J Hamell, P Walker - IEEE Transactions on Field …, 2024 - ieeexplore.ieee.org
An open research question has been whether a single human can supervise a true
heterogeneous swarm of robots completing tasks in real-world environments. A general …

[PDF][PDF] Uncertainty-aware visual workload estimation for human-robot teams

JB Smith, SA Toribio, JA Adams - Proceedings of Conference on …, 2024 - easychair.org
Human-robot teams operate in uncertain environments and need to accomplish a wide
range of tasks. A dynamic understanding of the human's workload can enable fluid …

How is the Pilot Doing: VTOL Pilot Workload Estimation by Multimodal Machine Learning on Psycho-physiological Signals

JH Park, L Chen, I Higgins, Z Zheng… - 2024 33rd IEEE …, 2024 - ieeexplore.ieee.org
Vertical take-off and landing (VTOL) aircraft do not require a prolonged runway, thus
allowing them to land almost anywhere. In recent years, their flexibility has made them …

Predicting Human Teammate's Workload

MR Giolando, JA Adams - Companion of the 2024 ACM/IEEE …, 2024 - dl.acm.org
High pressure environments (eg, disaster response) can result in variable workload that
decreases human performance, and degrades the overall mission performance of human …

Workload Estimation for Unknown Tasks: A Survey of Machine Learning Under Distribution Shift

JB Smith, JA Adams - arXiv preprint arXiv:2403.13318, 2024 - arxiv.org
Human-robot teams involve humans and robots collaborating to achieve tasks under various
environmental conditions. Successful teaming will require robots to adapt autonomously to a …

Design Principles for Building Robust Human-Robot Interaction Machine Learning Models

J Bhagat Smith, V Mallampati, P Baskaran… - Companion of the 2024 …, 2024 - dl.acm.org
Effective collaboration between humans and robots hinges on the robot's ability to
comprehend its human teammate. This collaboration demands the development of machine …

Experimental Design Principles for Developing Machine Learning Models for Human–Robot Interaction

JB Smith, MR Giolando, V Mallampati… - … the Frontiers of Human …, 2024 - Springer
Real world human–robot teams will be deployed in dynamic, uncertain environments where
effective collaboration hinges on the robot's ability to comprehend its human teammate and …

Multi-Dimensional Task Recognition for Human-Robot Teaming

P Baskaran - 2023 - ir.library.oregonstate.edu
Human-robot teams involve humans and robots collaborating to achieve tasks under various
environmental conditions. Successful teaming requires robots to adapt autonomously in real …

Experimental Design Principles for Developing Machine Learning Models

JB Smith, MR Giolando, V Mallampati - Discovering the Frontiers of … - books.google.com
Real world human-robot teams will be deployed in dynamic, uncertain environments where
effective collaboration hinges on the robot's ability to comprehend its human teammate and …