Novel Human-in-the-Loop (HIL) Simulation Method to Study Synthetic Agents and Standardize Human–Machine Teams (HMT)

Novel Human-in-the-Loop (HIL) Simulation Method to Study Synthetic Agents and Standardize Human–Machine Teams (HMT)

This work presents a multi-year study conducted at the University of Toledo, aimed at improving human–machine teaming (HMT) methods and technologies. With the advent of artificial intelligence (AI) in 21st-century machines, collaboration between humans and machines has become highly complicated for...

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Bibliographic Details
Main Authors: Praveen Damacharla, Parashar Dhakal, Jyothi Priyanka Bandreddi, Ahmad Y. Javaid, Jennie J. Gallimore, Colin Elkin, Vijay K. Devabhaktuni
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Applied Sciences
Subjects:
artificial agents
human factors
human–machine teaming
metrics
synthetic agents
Online Access:https://www.mdpi.com/2076-3417/10/23/8390

Internet

https://www.mdpi.com/2076-3417/10/23/8390

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