Towards quantifying human experience in the built environment: A crowdsourcing based experiment to identify influential architectural design features

Semiha Ergan, Zhuoya Shi, Xinran Yu

Research output: Contribution to journalArticlepeer-review

Abstract

One of the main challenges in the quantification of the influence of architectural design features on human experience is to define the set of architectural design features that people notice immediately in a space as well as to define the type of influence these design features can have on people. Through a crowdsourced experiment, this study provides evidences on the architectural design features that people notice immediately in a space, preferences of people on the spaces configured with these features, and the influence level of these features on overall experience in spaces. Statistical analysis on around 400 subjects’ data show that certain features such as the openness of space, presence of windows and daylighting, flexibility in isolation/socialization, level of artificial lighting, density of spaces, and color of surfaces are easy to notice by people and are also powerful to change the human experience. The findings provide an ordering of the identified design features based on their noticeability and influence levels for practitioners to consider in their design decisions. Findings also establish the basis towards objectively quantifying the impact of architectural design features on human experience in spaces.

Original languageEnglish (US)
Pages (from-to)51-59
Number of pages9
JournalJournal of Building Engineering
Volume20
DOIs
StatePublished - Nov 2018

Keywords

  • Architecture design
  • Built environment
  • Crowdsourcing
  • Human experience
  • Neuroscience

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Architecture
  • Building and Construction
  • Safety, Risk, Reliability and Quality
  • Mechanics of Materials

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