The impact of labeling automotive AI as "trustworthy" or "reliable" on user evaluation and technology acceptance
<|reference_start|>The impact of labeling automotive AI as "trustworthy" or "reliable" on user evaluation and technology acceptance: 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 design, the research involved 478 online participants who were presented with guidelines for either trustworthy or reliable AI. Participants then evaluated three vignette scenarios and completed a modified version of the Technology Acceptance Model, which included variables such as perceived ease of use, human-like trust, and overall attitude. Although labeling AI as "trustworthy" did not significantly influence judgments on specific scenarios, it increased perceived ease of use and human-like trust, particularly benevolence. This suggests a positive impact on usability and an anthropomorphic effect on user perceptions. The study provides insights into how specific labels can influence attitudes toward AI technology.<|reference_end|>
@article{dorsch2024the,
    title={The impact of labeling automotive AI as "trustworthy" or "reliable" on
  user evaluation and technology acceptance},
    author={John Dorsch and Ophelia Deroy},
    journal={arXiv preprint arXiv:2408.10905},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.10905},
    primaryClass={cs.HC cs.AI cs.ET}
}