Share Email Print

Proceedings Paper

Analysis of trust in autonomy for convoy operations
Author(s): Gregory M. Gremillion; Jason S. Metcalfe; Amar R. Marathe; Victor J. Paul; James Christensen; Kim Drnec; Benjamin Haynes; Corey Atwater
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

With growing use of automation in civilian and military contexts that engage cooperatively with humans, the operator’s level of trust in the automated system is a major factor in determining the efficacy of the human-autonomy teams. Suboptimal levels of human trust in autonomy (TiA) can be detrimental to joint team performance. This mis-calibrated trust can manifest in several ways, such as distrust and complete disuse of the autonomy or complacency, which results in an unsupervised autonomous system. This work investigates human behaviors that may reflect TiA in the context of an automated driving task, with the goal of improving team performance. Subjects performed a simulated leaderfollower driving task with an automated driving assistant. The subjects had could choose to engage an automated lane keeping and active cruise control system of varying performance levels. Analysis of the experimental data was performed to identify contextual features of the simulation environment that correlated to instances of automation engagement and disengagement. Furthermore, behaviors that potentially indicate inappropriate TiA levels were identified in the subject trials using estimates of momentary risk and agent performance, as functions of these contextual features. Inter-subject and intra-subject trends in automation usage and performance were also identified. This analysis indicated that for poorer performing automation, TiA decreases with time, while higher performing automation induces less drift toward diminishing usage, and in some cases increases in TiA. Subject use of automation was also found to be largely influenced by course features.

Paper Details

Date Published: 25 May 2016
PDF: 10 pages
Proc. SPIE 9836, Micro- and Nanotechnology Sensors, Systems, and Applications VIII, 98361Z (25 May 2016); doi: 10.1117/12.2224009
Show Author Affiliations
Gregory M. Gremillion, U.S. Army Research Lab. (United States)
Jason S. Metcalfe, U.S. Army Research Lab. (United States)
Amar R. Marathe, U.S. Army Research Lab. (United States)
Victor J. Paul, U.S. Army Tank Automotive Research, Development and Engineering Ctr. (United States)
James Christensen, Air Force Research Lab. (United States)
Kim Drnec, U.S. Army Research Lab. (United States)
Benjamin Haynes, U.S. Army Tank Automotive Research, Development and Engineering Ctr. (United States)
Corey Atwater, DCS Corp. (United States)

Published in SPIE Proceedings Vol. 9836:
Micro- and Nanotechnology Sensors, Systems, and Applications VIII
Thomas George; Achyut K. Dutta; M. Saif Islam, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?