VR-Based Indoor Lighting and IEQ Research Review, 2010–2025
by Mehdi Ghiai·Updated 1mo ago
25.8 KB1files
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Description
Mehdi Ghiai authored a review document analyzing 35 studies on Virtual Reality (VR) applications for indoor environmental quality (IEQ) research, focusing on interior lighting. The document, last updated on 2026-04-14, synthesizes findings from a structured search of Scopus, Web of Science, ScienceDirect, and Google Scholar covering the period 2010–2025. It examines how VR facilitates replicable manipulation of environmental parameters like illuminance and correlated color temperature to study occupant effectiveness, productivity, and behavioral responses.
Use Cases
Benchmarking VR simulation credibility for lighting research based on the review of 35 studies.
Analyzing the interaction effect of illuminance levels and correlated color temperature on attention, as discussed in the findings.
Designing controlled IEQ experiments based on the described methodological approach of VR for precise variable manipulation.
Reviewing theoretical frameworks for human-environment interaction in built environments as covered in the document.
Strengths
Document is based on a structured review of 35 identified studies from major academic databases.
Explicitly states the search time range (2010–2025) and inclusion criteria for the literature review.
Released under a permissive CC-BY-4.0 license, allowing for broad reuse.
Limitations
The 25.8 KB size indicates the document is a review/summary, not a primary dataset of experimental results.
Row count and column-level documentation for any underlying data are absent.
The description notes limitations in the reviewed field, such as sampling error and transferability of findings to real-world settings.
Provenance
Source
Mehdi Ghiai via figshare.
Collection Method
Structured literature review of academic databases (Scopus, Web of Science, ScienceDirect, Google Scholar).
Time Range
2010–2025
Freshness
Last updated 2026-04-14 04:21:18.
The primary file is a DOCX document containing a literature review, not a structured data table.