Systematic Review of Neuroscience-Informed Architectural Design and HCI Technologies

A systematic literature review by Ana Gabriela Núñez Ávila synthesizes 32 primary studies published since 2017. The review analyzes neuroscientific approaches, interactive technologies, and cognitive measures applied in architectural design, sourced from automated searches in IEEE Xplore, ACM Digital Library, SpringerLink, and Scopus. It was last updated on 2026-05-15.

Use Cases

• Identify research gaps in architectural spaces based on the reported under-exploration of hospital, residential, and cultural settings.
• Survey commonly used measurement techniques based on the described combination of simulations, questionnaires, and physiological recordings.
• Analyze the application of interactive technologies based on the mention of sensors, spatial computing, and virtual reality.
• Review cognitive variables studied in built environments based on the reported focus on attention, comfort, and welfare.

Strengths

• The review follows established systematic literature review guidelines and validated reviewer consistency with Fleiss' Kappa.
• It synthesizes findings from 32 primary studies identified from a search yielding 1,426 records.
• Data extraction followed structured criteria addressing multiple facets like space types, technologies, and user groups.

Limitations

• The dataset is a PDF document (113.8 KB); the underlying extracted data tables or raw review data are not provided separately.
• Row count and column-level documentation are absent; field semantics must be inferred from the review text.
• The review's scope is limited to studies published since 2017, potentially excluding earlier foundational work.

Provenance

Source

figshare

Collection Method

Systematic literature review with automated searches in IEEE Xplore, ACM Digital Library, SpringerLink, and Scopus, complemented by manual searches.

Time Range

Studies published since 2017.

Freshness

Last updated 2026-05-15 05:42:37; freshness should be verified.