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Towards People-Centred Precedents for Parametric Design: The Case of Wayfinding in Large Scale Buildings
University of Bremen, Bremen, Germany.ORCID iD: 0000-0003-0392-026X
University of Bremen, Bremen, Germany.ORCID iD: 0000-0002-6290-5492
Teknische Universität Berlin, Berlin, Germany.
2017 (English)In: Proceedings of the Joint Conference on Computing in Construction (JC3) / [ed] Fréderic Bosché; Ioannis Brilakis; Rafael Sacks, Edinburgh, UK: Heriot-Watt University , 2017, Vol. 1, p. 803-810Conference paper, Published paper (Refereed)
Abstract [en]

Large-scale public buildings need to ensure an effective wayfinding performance for different user groups. Recent precedent based design approaches take spatial cognition into account by analysing the visuo-locomotive experience of users with the aim to interpret their behaviour and integrate it into a people-centred design. The paper focuses on the process from the analysis of precedents and the visuo-locomotive experience to the definition of design constraints that can be embedded into a parametric design for wayfinding. Primarily, we pursue a qualitative analysis of the visuo-locomotive experience of wayfinders in a healthcare built environment, with the use of cognitive-assistive and immersive/ virtual reality technologies. The outcome, presented through immersive reality, is correlated with the morphological analysis of the space and leads to precedents evaluation about design for wayfinding and the definition of new design constraints. The process is approached through an example, the environmental aspect of visual range. We conclude that this practice can overcome some of the experience based design practices of today but is not yet ingrained in the architectural and engineering design processes of public buildings.

Place, publisher, year, edition, pages
Edinburgh, UK: Heriot-Watt University , 2017. Vol. 1, p. 803-810
Keywords [en]
precedent based design, immersive reality, spatial cognition, wayfinding, people-centred parametric design
National Category
Design Architecture Production Engineering, Human Work Science and Ergonomics Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-69942DOI: 10.24928/JC3-2017/0205OAI: oai:DiVA.org:oru-69942DiVA, id: diva2:1259353
Conference
Lean and Computing in Construction Congress (LC3), Heraklion, Crete, Greece, July 4-7, 2017
Available from: 2018-10-29 Created: 2018-10-29 Last updated: 2019-04-01Bibliographically approved

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Kondyli, VasilikiBhatt, Mehul

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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  • asciidoc
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