Decoding Embedded Ambiance in a Historic and a Non-Historic Street: A Comparative VR Study of Brain, Body, and Mind

Although street ambiance, understood as a multisensory and cognitive experience, has been widely discussed in theory, empirical evidence on how it is perceived across specific urban contexts remains limited. This study explores the differences in ambiance-related responses between the two contrasting streets—one historic and one non-historic—by integrating brain, body, and mind measures within a controlled immersive framework. A VR-based, multimodal experimental protocol was employed, presenting participants with 360° audiovisual representations of two real-world streets. Data were collected using EEG, a wrist-worn physiological sensor, and self-report evaluations. Subjective responses consistently differentiated between the two streets’ ambiances, reflecting a coherent, environmentally grounded appraisal shaped by each street’s combined visual and auditory attributes. Neural responses clearly differentiated between the two streets, demonstrating that the distinct experiential character of the historic street was also reflected at the level of brain activity. Within the historic street, an asymmetric relationship emerged in which subjective evaluations differentiated ambiance more robustly than corresponding psychophysiological modulation, indicating context-dependent sensitivity across modalities. Taken together, the findings suggest that subjective and psychophysiological responses do not differ merely in magnitude but also in their mode of organization, revealing street ambiance as a multisensory and relational experience rather than the sum of isolated environmental attributes or historicity alone.

Authors

Institutions

Publication Details

Journal
Buildings
Published
2026-03-04
DOI
https://doi.org/10.3390/buildings16051015
Primary Topic
Multisensory perception and integration
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Decoding Embedded Ambiance in a Historic and a Non-Historic Street: A Comparative VR Study of Brain, Body, and Mind

Dilek Yıldız, Ümmü Gülsüm Şenay, Ayşe Beyza Yavuz Haksever
Buildings
Multisensory perception and integration
article

Decoding Embedded Ambiance in a Historic and a Non-Historic Street: A Comparative VR Study of Brain, Body, and Mind

Dilek Yıldız, Ümmü Gülsüm Şenay, Ayşe Beyza Yavuz Haksever
article en

Abstract

Although street ambiance, understood as a multisensory and cognitive experience, has been widely discussed in theory, empirical evidence on how it is perceived across specific urban contexts remains limited. This study explores the differences in ambiance-related responses between the two contrasting streets—one historic and one non-historic—by integrating brain, body, and mind measures within a controlled immersive framework. A VR-based, multimodal experimental protocol was employed, presenting participants with 360° audiovisual representations of two real-world streets. Data were collected using EEG, a wrist-worn physiological sensor, and self-report evaluations. Subjective responses consistently differentiated between the two streets’ ambiances, reflecting a coherent, environmentally grounded appraisal shaped by each street’s combined visual and auditory attributes. Neural responses clearly differentiated between the two streets, demonstrating that the distinct experiential character of the historic street was also reflected at the level of brain activity. Within the historic street, an asymmetric relationship emerged in which subjective evaluations differentiated ambiance more robustly than corresponding psychophysiological modulation, indicating context-dependent sensitivity across modalities. Taken together, the findings suggest that subjective and psychophysiological responses do not differ merely in magnitude but also in their mode of organization, revealing street ambiance as a multisensory and relational experience rather than the sum of isolated environmental attributes or historicity alone.

BuildingsVol. 16(5)
Istanbul Technical University (TR)
Sustainable cities and communities
Openalex Percentile: Top 39%
Multisensory perception and integration
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.