What is it about?

This study explores how people experience spaces of high aesthetic quality. Combining immersive virtual reality (VR) with electroencephalography (EEG) brain imaging, in this research project, twenty-five participants explored three distinct virtual environments that were inspired by world-renowned artworks by James Turrell and Yayoi Kusama, and a prize-winning architectural student design project. Spaces were rated for aesthetic appeal and novelty. Brain activity data were analysed using Power Spectral Density and Linear Mixed-Effects Modelling. Results reveal that reduced beta-wave activity in left and mid-parietal regions suppresses aesthetic perception, while increased low-gamma activity in the right central region enhances it. The study demonstrates that the environment modulates aesthetic experience through a neuro–perceptual mechanism – a balance between cognitive load, emotional engagement, and processing fluency.

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Why is it important?

This research bridges neuroscience and architectural design by showing that consumer-grade EEG technology, combined with immersive virtual reality, can measure how designed environments shape human aesthetic experience. Most existing studies in neuroaesthetics rely on static images lacking spatial experiences. This study recorded brain activity while participants actively explored immersive virtual environments. The neural markers identified offer architectural researchers indicators of aesthetic response. The findings provide a foundation for user-centered design processes to create architectural solutions that support well-being, creativity, and emotional engagement.

Perspectives

A significant step toward integrating EEG into architectural design processes to create spaces that support well-being, creativity, and emotional engagement.

Dr. Claudia Westermann
Curtin University

Read the Original

This page is a summary of: Evaluating Aesthetic Experiences via Immersive Virtual Environments and EEG: Toward the Integration of Neuroscience Tools in Design Assessment, She Ji The Journal of Design Economics and Innovation, January 2026, Elsevier,
DOI: 10.1016/j.sheji.2026.02.002.
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