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Embodied architecture design: On people-centered design of visuo-locomotive cognitive experiences
Örebro University, School of Science and Technology. University of Bremen, Bremen, Germany.ORCID iD: 0000-0002-6290-5492
2018 (English)In: Cognitive Processing, ISSN 1612-4782, E-ISSN 1612-4790, Vol. 19, no Suppl. 1, p. S5-S5Article in journal, Meeting abstract (Other academic) Published
Abstract [en]

This presentation focusses on the analysis and design of human-centered, embodied, cognitive user experiences from the perspectives of spatial cognition and computation, artificial intelligence, and human-computer interaction research. Focusing on large-scale built up spaces (in particular hospitals), this presentation will particularly address:

‘how can human-centered cognitive modalities of visuo-locomotive perception constitute the foundational building blocks of design education, discourse, systems, and the professional practice of spatial design for architecture’.

The presentation will emphasizeevidence-based multimodality studies from the viewpoints of visuo-locomotive (i.e., pertaining to vision, movement, and wayfinding) cognitive experiences. Modalities being investigated include: (1) visual attention (by eye-tracking), gesture, language, facial expressions; (2) human expert guided event segmentation (e.g., coming from behavioral or environmental psychologists, designers, annotators); (3) deep analysis based on dialogic components, think-aloud protocols. We demonstrate (1–3) in the context of a large-scale study conducted at the Old and New Parkland Hospitals in Dallas, Texas.

This research (and symposium) calls for a tightly integrated approach combining analytical methods (rooted in AI and computational cognition) and empirical methods (rooted in psychology and perception studies) for developing human-centered architectural design technologies, and technology-mediated (architectural) design synthesis.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2018. Vol. 19, no Suppl. 1, p. S5-S5
National Category
Psychology
Identifiers
URN: urn:nbn:se:oru:diva-68756DOI: 10.1007/s10339-018-0884-3ISI: 000442849900011OAI: oai:DiVA.org:oru-68756DiVA, id: diva2:1246885
Available from: 2018-09-10 Created: 2018-09-10 Last updated: 2018-09-10Bibliographically approved

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Bhatt, Mehul

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Citation style
  • apa
  • harvard1
  • ieee
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Language
  • de-DE
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  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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