VR Analytics Project RB-A: Participant Ratings of Virtual Environments

Participant ratings of three variants of a virtual environment on perceived greenness, beauty, density, safety, building height, and road width. The dataset includes anonymized responses to a personal background questionnaire and was published by Ron Bar-Ad in May 2025. It is a small dataset of 42.5 KB.

Use Cases

• Analyze correlations between perceived safety and environmental density based on participant ratings.
• Compare subjective ratings of beauty and greenness across different virtual environment variants.
• Model the relationship between personal background factors and perceptions of building height and road width.

Strengths

• Dataset includes an R script for formatting data, which aids in reproducibility.
• Data is licensed under CC-BY-4.0, allowing for open sharing and reuse.
• Contains anonymized personal background questionnaire responses alongside environmental ratings.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 42.5 KB, indicating limited scope.

Provenance

Source

Ron Bar-Ad via figshare

Collection Method

Likely collected via a questionnaire administered during a VR experiment.

Time Range

May 2025

Freshness

Last updated 2026-05-28 10:11:24; freshness should be verified.