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Activity Shapes: towards a spatiotemporal analysis in architecture
KTH, School of Computer Science and Communication (CSC), Computational Science and Technology (CST). Georgia Institute of Technology. (Visualization Studio VIC)ORCID iD: 0000-0003-4616-189X
2014 (English)In: DEARQ: Journal of Architecture, ISSN 2011-3188, E-ISSN 2215-969X, no 26Article in journal (Refereed) Published
Abstract [en]

Computational spatial analyses play an important role in architectural design processes, providing feedback about spatial configurations that may inform design decisions. Current spatial analyses convey geometrical aspects of space, but aspects such as space use are not encompassed within the analyses, although they are fundamental for architectural programming. Through this study, we initiate the discussion of including human activity as an input that will change the focus of current computational spatial analyses toward a detailed understanding of activity patterns in space and time. We envision that the emergent insights will serve as guidelines for future evaluation of design intents motivated by spatial occupancy, since we –designers– mentally constructing a model of the situation and activities on it (Eastman, 2001).

Place, publisher, year, edition, pages
2014. no 26
Keywords [en]
ACTIVITY SHAPES, HUMAN BEHAVIOR, SPATIAL ANALYSIS, SPATIOTEMPORAL ANALYSIS, INFORMATION VISUALIZATION
National Category
Computer Sciences Architecture
Research subject
Human-computer Interaction
Identifiers
URN: urn:nbn:se:kth:diva-166018OAI: oai:DiVA.org:kth-166018DiVA, id: diva2:916472
Note

QC 20160407

Available from: 2016-04-02 Created: 2015-04-30 Last updated: 2022-06-23Bibliographically approved

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fulltext(797 kB)473 downloads
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Romero, Mario

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