Understanding perceived ride safety and trust formation in robotaxi services under day and night conditions.

ABSTRACT: This study investigates how passengers perceive ride safety and develop trust in Robotaxi services in the absence of human drivers, with a focus on differences between daytime and nighttime scenarios. Drawing on the Elaboration Likelihood Model (ELM), we examined central cues (system transparency, perceived ride control) and peripheral cues (brand reputation, in-vehicle comfort) influencing safety perception and trust. Based on data from 563 real-world users, results show that all four cues significantly enhance perceived ride safety, which in turn fosters user trust. Notably, nighttime users relied more on perceived ride control and brand reputation, while daytime users prioritized in-vehicle comfort. System transparency remained a consistently strong predictor across both settings. The t

SUBMITTER: Liu Y 

PROVIDER: S-EPMC12647839 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature