File:INTEGRITY-BASED TRUST VIOLATIONS WITHIN HUMAN-MACHINE TEAMING (IA integritybasedtr1094559637).pdf

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INTEGRITY-BASED TRUST VIOLATIONS WITHIN HUMAN-MACHINE TEAMING   (Wikidata search (Cirrus search) Wikidata query (SPARQL)  Create new Wikidata item based on this file)
Author
Clark, Tiffany
image of artwork listed in title parameter on this page
Title
INTEGRITY-BASED TRUST VIOLATIONS WITHIN HUMAN-MACHINE TEAMING
Publisher
Monterey, CA; Naval Postgraduate School
Description

Successful human-machine teaming requires humans to trust machines. While many claim to welcome automation, there is also mistrust of machines, which may stem from more than competence concerns. Human-automation trust research to date has considered automation capable of competence-based trust violations (CBTV), but integrity-based trust violations (IBTV) should also be studied. Future advances in artificial intelligence and cyber warfare could result in the perception—and possible reality—of automation committing IBTVs. The current study paired human participants with an automated teammate to complete a sequence of computer-based visual search and investment tasks. During each session, the automation committed either an IBTV or CBTV, and participants’ trust responses were measured through self-reported trust, trust-based reliance behavior, time spent making reliance decisions, and investment behavior. The results found that (a) average self-reported trust in the automation was significantly lower in the IBTV than the CBTV condition, (b) personal investment behavior was more consistent with reported trust levels than reliance behavior and may be a better gauge of trust, and (c) trust behavior differed more between IBTV and CBTV conditions among participants who invested more in their automated teammate. The differences found in participant trust response between conditions are enough to warrant further research into how humans react to automation committing IBTVs.


Subjects: human-machine teaming; human-systems interaction; human-robot teaming; man-machine interface; human-computer interaction; human-robot interaction; trust in automation; human-automation trust; integrity-based trust violation; competence-based trust violation
Language English
Publication date June 2018
Current location
IA Collections: navalpostgraduateschoollibrary; fedlink
Accession number
integritybasedtr1094559637
Source
Internet Archive identifier: integritybasedtr1094559637
https://archive.org/download/integritybasedtr1094559637/integritybasedtr1094559637.pdf
Permission
(Reusing this file)
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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Public domain
This work is in the public domain in the United States because it is a work prepared by an officer or employee of the United States Government as part of that person’s official duties under the terms of Title 17, Chapter 1, Section 105 of the US Code. Note: This only applies to original works of the Federal Government and not to the work of any individual U.S. state, territory, commonwealth, county, municipality, or any other subdivision. This template also does not apply to postage stamp designs published by the United States Postal Service since 1978. (See § 313.6(C)(1) of Compendium of U.S. Copyright Office Practices). It also does not apply to certain US coins; see The US Mint Terms of Use.

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current03:35, 22 July 2020Thumbnail for version as of 03:35, 22 July 20201,275 × 1,650, 86 pages (1 MB) (talk | contribs)FEDLINK - United States Federal Collection integritybasedtr1094559637 (User talk:Fæ/IA books#Fork8) (batch 1993-2020 #19040)

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