Survey Data on Social Norms and Trust in Shared Autonomous Vehicles

Survey data from a pre-registered online experiment with 1,032 initial participants and 630 after filtering. The study investigates how static and dynamic social norms influence trust in shared autonomous vehicles (SAVs) and the subsequent intention to use them. The dataset was created by Sander Vassanyi and last updated in May 2026.

Use Cases

• Analyzing the effect of normative framing on subjective trust based on the experimental conditions described.
• Modeling the relationship between propensity to trust (interpersonal and automation-specific) and intention to use SAVs.
• Investigating the role of safety evaluation as a predictor of trust in autonomous systems.
• Comparing the efficacy of static versus dynamic social norm interventions in technology adoption contexts.

Strengths

• Dataset is based on a pre-registered experimental design, which suggests methodological rigor.
• The study involved a relatively large sample size of 1,032 initial participants.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the final analyzed dataset is unknown, which may limit suitability assessment.
• The data is contained within a PDF file, which may require extraction and cleaning for analysis.

Provenance

Source

figshare

Collection Method

Online experimental survey with random assignment to control, static norm, or dynamic norm conditions.

Freshness

Last updated 2026-05-11 22:02:55.