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 …

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 …