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Combining Biosensing Technology and Virtual Environments for Improved Urban Planning

Zeile, Peter ORCID iD icon 1; Resch, Bernd
1 Institut Entwerfen von Stadt und Landschaft (IESL), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

The Urban Emotions initiative uses biosensing technology to determine how people feel in the city, which is of particular relevance for architecture and urban planning. While past experiments focused more on pedestrian or bicycle traffic, accessibility and wayfinding, this paper proposes the use of virtual models as a basis for human sensorial measurement. Virtual space offers the possibility of minimizing external (environmental) influences to focus on the evaluation of design impressions. Inspiration for the method was ‘Q-sorting’ according to Stephenson (1953) and, in the context of urban planning, Krause (1974). Virtual models of real situations are used to determine whether test participants respond positively or negatively to the architecture or their environment. 360° videos, virtual reality ambience and VR glasses are used as output devices. In this virtual environment, it is possible to create standardized, comparable laboratory situations allowing researchers to draw more reliable and focused conclusions about human responses to their physical environment. The challenge for the future will be to transfer this knowledge of citizens’ responses to the built environment into real design processes.


Verlagsausgabe §
DOI: 10.5445/IR/1000161144
Veröffentlicht am 03.08.2023
Originalveröffentlichung
DOI: 10.1553/giscience2018_01_s344
Scopus
Zitationen: 12
Dimensions
Zitationen: 11
Cover der Publikation
Zugehörige Institution(en) am KIT Institut Entwerfen von Stadt und Landschaft (IESL)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 02.07.2018
Sprache Englisch
Identifikator ISSN: 2308-1708
KITopen-ID: 1000161144
Erschienen in GI-Forum : Journal for Geographic Information Science
Verlag Verlag der Österreichischen Akademie der Wissenschaften
Band 6
Heft 1
Seiten 344–357
Projektinformation DFG, DFG EIN, ZE 1018/1-2
Schlagwörter rban planning, sensor technology, physiological sensing, virtual reality, perception
Nachgewiesen in Dimensions
Scopus
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