The impact of labeling automotive AI as "trustworthy" or "reliable" on user evaluation and technology acceptance
This research addresses how labeling can influence user attitudes toward AI in automotive applications, but it is incremental as it builds on existing studies of technology acceptance and trust.
This study investigated how labeling AI as 'trustworthy' or 'reliable' affects user perceptions and acceptance in automotive contexts, finding that 'trustworthy' labels increased perceived ease of use and human-like trust among 478 participants, though they did not significantly alter scenario-specific judgments.
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.