Publication:
Technology Trust: The Impact of Anthropomorphic System Information on the Acceptance of Sutonomous Systems Used in High-Risk Applications [video]

Authors
Anderson, Michael
Mun, Johnathan
Subjects
Advisors
Date of Issue
2021-05-21
Date
05/21/21
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
As autonomous systems become more capable, end users must make decisions about how and when to deploy such technology. The use and adoption of a technology to replace a human actor depends on its ability to perform a desired task and on the user's experience-based trust that it will do so. The development of experience-based trust in autonomous systems is expensive and high risk. This work focuses on identifying a methodology for technology discovery that reduces the need for experience-based trust and contributes to increased adoption of autonomous systems. Initial research reveals two problems associated with the adoption of high-risk technologies; 1) end user's refusal to accept new systems without high levels of initial trust and 2) lost or uncollected experience-based trust data. The main research hypothesis is that a trust score, or trust metric, can influence the initial formation of trust by functioning as a surrogate for experience-based trust, and that trust in technology can be measured through a probability-based prediction of risk.
Type
Video
Presentation
Description
A video presentation with accompanying slides.
Department
Identifiers
NPS Report Number
SYM-AM-21-172
SYM-AM-21-229
Sponsors
Prepared for the Naval Postgraduate School, Monterey, CA 93943.
Naval Postgraduate School
Funder
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
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.
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