Operator Suspicion and Human-Machine Team Performance Under Mission Scenarios of Unmanned Ground Vehicle Operation

Emergent cyber-attack threats against cyber-physical systems can create potentially catastrophic impacts. The operators must intervene at the right moment when suspected attacks occur, without over-reliance on systems to detect the cyber-attacks. However, military operators are normally trained to t...

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Main Authors: Chris Gay, Barry Horowitz, John J. Elshaw, Philip Bobko, Inki Kim
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8651290/
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spelling doaj-1188f7a244ed4b3180bcc5b332968e282021-03-29T22:23:12ZengIEEEIEEE Access2169-35362019-01-017363713637910.1109/ACCESS.2019.29012588651290Operator Suspicion and Human-Machine Team Performance Under Mission Scenarios of Unmanned Ground Vehicle OperationChris Gay0Barry Horowitz1John J. Elshaw2Philip Bobko3Inki Kim4https://orcid.org/0000-0001-8081-7114Department of Systems Engineering and Management, Air Force Institute of Technology, Dayton, OH, USADepartment of Systems and Information Engineering, University of Virginia, Charlottesville, VA, USADepartment of Systems Engineering and Management, Air Force Institute of Technology, Dayton, OH, USAManagement and Psychology, Gettysburg College, Gettysburg, PA, USADepartment of Systems and Information Engineering, University of Virginia, Charlottesville, VA, USAEmergent cyber-attack threats against cyber-physical systems can create potentially catastrophic impacts. The operators must intervene at the right moment when suspected attacks occur, without over-reliance on systems to detect the cyber-attacks. However, military operators are normally trained to trust, rather than suspect systems. We applied suspicion theory to explore how operators detect and respond to cyber-attacks against an unmanned ground vehicle (UGV) system in the operational context of a human-machine team (HMT). We investigated the relationships between the operator suspicion and HMT performance by conducting human-in-the-loop experiments on eight mission scenarios with 32 air-force officers. The experiment yielded a significant, negative relationship between operator suspicion and HMT performance (quantified both in terms of the desirability of decision response and the time to respond). Notably, operator suspicion increased with the combined effects of cyber-attacks and a sentinel alert but not with the alert alone. This finding was particularly meaningful for “false-negative” scenarios, in which no sentinel alert was sent despite cyber-attacks having occurred. Although the operators did not receive an alert, the operators grew more suspicious, seeking more information; it took longer for the operators to respond, and their decision responses were highly divergent (17.2% came with less-desirable responses, and 21.9% were considered instances of over-reliance). In contrast, in “false-positive” scenarios, 95.3% of the operator responses were highly desirable. This experiment has implications for the role of a sentinel alert in engineering trustworthy HMT systems so that the operators can quickly transition through state-suspicion to the most desirable decision.https://ieeexplore.ieee.org/document/8651290/Suspiciontrusthuman machine teamcyber securityhuman-in-the-loop simulationunmanned ground vehicle control
collection DOAJ
language English
format Article
sources DOAJ
author Chris Gay
Barry Horowitz
John J. Elshaw
Philip Bobko
Inki Kim
spellingShingle Chris Gay
Barry Horowitz
John J. Elshaw
Philip Bobko
Inki Kim
Operator Suspicion and Human-Machine Team Performance Under Mission Scenarios of Unmanned Ground Vehicle Operation
IEEE Access
Suspicion
trust
human machine team
cyber security
human-in-the-loop simulation
unmanned ground vehicle control
author_facet Chris Gay
Barry Horowitz
John J. Elshaw
Philip Bobko
Inki Kim
author_sort Chris Gay
title Operator Suspicion and Human-Machine Team Performance Under Mission Scenarios of Unmanned Ground Vehicle Operation
title_short Operator Suspicion and Human-Machine Team Performance Under Mission Scenarios of Unmanned Ground Vehicle Operation
title_full Operator Suspicion and Human-Machine Team Performance Under Mission Scenarios of Unmanned Ground Vehicle Operation
title_fullStr Operator Suspicion and Human-Machine Team Performance Under Mission Scenarios of Unmanned Ground Vehicle Operation
title_full_unstemmed Operator Suspicion and Human-Machine Team Performance Under Mission Scenarios of Unmanned Ground Vehicle Operation
title_sort operator suspicion and human-machine team performance under mission scenarios of unmanned ground vehicle operation
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description Emergent cyber-attack threats against cyber-physical systems can create potentially catastrophic impacts. The operators must intervene at the right moment when suspected attacks occur, without over-reliance on systems to detect the cyber-attacks. However, military operators are normally trained to trust, rather than suspect systems. We applied suspicion theory to explore how operators detect and respond to cyber-attacks against an unmanned ground vehicle (UGV) system in the operational context of a human-machine team (HMT). We investigated the relationships between the operator suspicion and HMT performance by conducting human-in-the-loop experiments on eight mission scenarios with 32 air-force officers. The experiment yielded a significant, negative relationship between operator suspicion and HMT performance (quantified both in terms of the desirability of decision response and the time to respond). Notably, operator suspicion increased with the combined effects of cyber-attacks and a sentinel alert but not with the alert alone. This finding was particularly meaningful for “false-negative” scenarios, in which no sentinel alert was sent despite cyber-attacks having occurred. Although the operators did not receive an alert, the operators grew more suspicious, seeking more information; it took longer for the operators to respond, and their decision responses were highly divergent (17.2% came with less-desirable responses, and 21.9% were considered instances of over-reliance). In contrast, in “false-positive” scenarios, 95.3% of the operator responses were highly desirable. This experiment has implications for the role of a sentinel alert in engineering trustworthy HMT systems so that the operators can quickly transition through state-suspicion to the most desirable decision.
topic Suspicion
trust
human machine team
cyber security
human-in-the-loop simulation
unmanned ground vehicle control
url https://ieeexplore.ieee.org/document/8651290/
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