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Title: Technology Trust: The Impact of System Information on the Adoption of Autonomous Systems Used in High-Risk Applications
Authors: Johnathan Mun
Michael G. Anderson
Keywords: Autonomous
Experience-Based Trust
Issue Date: 10-Sep-2019
Publisher: Acquisition Research Program
Citation: Published--Unlimited Distribution
Series/Report no.: Technology Readiness Level
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 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 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 manipulations to the presentation of technical information can influence the initial formation of trust by functioning as a surrogate for experience-based trust, and that trust in technology can be captured through an anthropomorphic hierarchy of system attributes.
Description: Acquisition Management / NPS Faculty Research
Appears in Collections:Sponsored Acquisition Research & Technical Reports

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