OBSERVATIONAL OVERSIGHT FOR UNDERSTANDING TRUST IN INTERACTIVE HUMAN AND AI SYSTEMS
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Authors
Keller, Ryan P.
Subjects
artificial intelligence
autonomous systems
intelligent systems
network control system
trust conditioning
trust development
trust in automation
unmanned systems
virtual environment
virtual reality
user interface
autonomous systems
intelligent systems
network control system
trust conditioning
trust development
trust in automation
unmanned systems
virtual environment
virtual reality
user interface
Advisors
Horner, Douglas P.
Monaco, John
Date of Issue
2019-09
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
Trust in artificial intelligence is an important field of research influencing developments such as autonomous cars, aircraft, the employment of drone swarms, and military decision aid tools. Understanding trust between humans and artificially intelligent systems will help accelerate decision-making cycles, inform better system design, and avoid automation bias or under-utilization of intelligent systems. Using the Hoff and Bashir model of trust in automation as a theoretical foundation of trust, we create a three-dimensional interface for a mobile network control system (NCS) composed of unmanned vehicles (UxV). In support of a ground team element, the NCS uses adaptive submodularity to configure a topology of network nodes that maximizes communications, sensor coverage, and network robustness. Interaction with the NCS is accomplished with a virtual reality (VR) interface by suggesting UxV positions to be evaluated by adaptive submodularity. The VR system is capable of capturing user interaction events, user positions, and total utility of the NCS as reported by adaptive submodularity. The measurements taken from the user may be analyzed post-event for potential indicators of trust development, how quickly the user learned to use the system, and if the user's ability to work with the NCS to accomplish a goal improved over time.
Type
Thesis
Description
Series/Report No
Department
Computer Science (CS)
Organization
Identifiers
NPS Report Number
Sponsors
SPAWAR
Funding
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.