The privileged sensing framework: A principled approach to improved human-autonomy integration. (4th May 2018)

• Record Type: Journal Article
• Authors: Marathe, Amar R.; Metcalfe, Jason S.; Lance, Brent J.; Lukos, Jamie R.; Jangraw, David; Lai, Kuan-Ting; Touryan, Jonathan; Stump, Ethan; Sadler, Brian M.; Nothwang, William; McDowell, Kaleb
• Is Part Of: Theoretical issues in ergonomics science. Volume 19:Number 3(2018)
• Page Start: 283
• Page End: 320
• Publication Date: 2018-05-04
• Subjects: Human-autonomy integration -- human variability -- confidence -- autonomous systems -- joint cognitive systems; Human engineering -- Periodicals; Human engineering -- Research -- Periodicals; 620.82
• DOI: 10.1080/1463922X.2017.1297865
• Languages: English
• ISSNs: 1463-922X

Abstract

ABSTRACT: A primary goal for human-autonomy integration (HAI) is to balance the strengths of human and autonomy in order to achieve performance objectives more efficiently and robustly than either the human or autonomous agents would independently. This paper proposes the Privileged Sensing Framework (PSF) as a novel approach to HAI. This approach is based on the concept of dynamically 'privileging' information during the process of integration by dynamically bestowing special rights based on the characteristics of each individual agent, the task context, and the performance goals. The proposed framework is tested through a series of simulation experiments that provide a clear demonstration of increased accuracy and throughput of human-autonomy performance. These proof-of-concept simulations provide initial evidence of the utility of the PSF. Continued development of this approach has the potential to revolutionise capabilities of multi-agent cooperative teams across a broad range of applications.