The impact of labeling automotive AI as trustworthy or reliable on user evaluation and technology acceptance
Abstract This study explores whether labeling AI as either “trustworthy” or “reliable” influences user perceptions and acceptance of automotive AI technologies. Utilizing a one-way between-subjects design, the research presented online participants (N = 478) with a text presenting guidelines for eit...
Saved in:
Main Authors: | John Dorsch, Ophelia Deroy |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-025-85558-2 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Achieving On-Site Trustworthy AI Implementation in the Construction Industry: A Framework Across the AI Lifecycle
by: Lichao Yang, et al.
Published: (2024-12-01) -
Bridging the Gap in the Adoption of Trustworthy AI in Indian Healthcare: Challenges and Opportunities
by: Sarat Kumar Chettri, et al.
Published: (2025-01-01) -
A conceptual ethical framework to preserve natural human presence in the use of AI systems in education
by: Werner Alexander Isop
Published: (2025-01-01) -
ETHICAL PRINCIPLES AND AI IN INTELLECTUAL PROPERTY LAW
by: Ileana Ioana BÎLBĂ
Published: (2024-05-01) -
Integrating Explainable Artificial Intelligence in Extended Reality Environments: A Systematic Survey
by: Clara Maathuis, et al.
Published: (2025-01-01)