244
Views
1
CrossRef citations to date
0
Altmetric
Articles

A neurological examination of gender differences in architectural perception

ORCID Icon
Pages 281-290 | Received 14 Sep 2022, Accepted 08 Sep 2023, Published online: 03 Oct 2023
 

Abstract

As a significant variable related to individual differences, gender affects people’s attitudes and perceptions. The main concern of this study is to investigate the importance of gender in the architectural design process. To this end, it measures architectural perception using neuroscientific measurement tools such as fMRI and objectively examines how the brains of men and women respond to the built environment. A survey experiment was conducted to determine differences between the measurement of spatial features in men and women. The fMRI results showed a significant gender difference between the neural activation of the brain areas involved in architectural perception. In support of the brain imaging results, the survey experiment indicated that women perceive an architectural setting and its visual elements in greater detail than men. In contrast, men rate three-dimensional perception and mental visualization significantly better and pay more attention to it than women.

Acknowledgment

I would like to express my undying gratitude to all the volunteer participants who assisted me in this study.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 228.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.