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111. Is it Better Now? Using Swift Trust and Priming to Determine How Update Information Impacts Trust in Automation
DescriptionAutomated Driving Systems (ADSs) get updates to improve their functionality and introduce new UIs with automated systems. Often, the post-update info given to users is unclear or misleading, resulting in improper knowledge of the automation, and subsequently miscalibrated trust. Swift trust principles show how individuals develop trust rapidly in teamwork situations without prior interaction. Those principles, along with the classic framing effect, are used to explain how different instructions given to drivers after an ADS update affected their later trust over time during this 5-drive experiment
Corresponding Author/Contributors
Event Type
Poster
TimeThursday, September 12th5:30pm - 6:30pm MST
LocationMcArthur Ballroom
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