most citedThe impact of labeling automotive AI as "trustworthy" or "reliable" on user evaluation and technology acceptance

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cs.HC2024★ 6 cited

The impact of labeling automotive AI as "trustworthy" or "reliable" on user evaluation and technology acceptance

John Dorsch, Ophelia Deroy

This study explores whether labeling AI as "trustworthy" or "reliable" influences user perceptions and acceptance of automotive AI technologies. Using a one-way between-subjects de…