Quantifying Human Experience in Interior Architectural Spaces

A. Radwan, S. Ergan

Research output: Chapter in Book/Report/Conference proceedingConference contribution


People spend more than 90% of their time indoors, which makes it crucial to assess the relation between the interior environment and human experience. Architecture, psychology, and neuroscience researchers have been trying to relate different design features to human experience. However, the extent of how we feel and experience in a space has not been fully quantified yet. One of the challenges has been the technical limitations in generating architectural configurations similar to real-world settings. Technologies such as virtual reality and biometric tools provide opportunities for quantification of physiological and emotional conditions of humans as they interact with different architecture spaces. This paper provides an overview of the method and results of the initial experiments. Findings showed that emotional response of people change based on different architectural design features configurations. Findings will help practitioners in the AEC industry to improve the design process for achieving better human experience in spaces.

Original languageEnglish (US)
Title of host publicationComputing in Civil Engineering 2017
Subtitle of host publicationSensing, Simulation, and Visualization - Selected Papers from the ASCE International Workshop on Computing in Civil Engineering 2017
EditorsKen-Yu Lin, Nora El-Gohary, Pingbo Tang
PublisherAmerican Society of Civil Engineers (ASCE)
Number of pages8
ISBN (Electronic)9780784480830
StatePublished - 2017
Event2017 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2017 - Seattle, United States
Duration: Jun 25 2017Jun 27 2017

Publication series

NameCongress on Computing in Civil Engineering, Proceedings


Other2017 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2017
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications


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