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Visuo-Locomotive Complexity as a Component of Parametric Design for Architecture
Örebro University, School of Science and Technology.ORCID iD: 0000-0003-0392-026x
Örebro University, School of Science and Technology.ORCID iD: 0000-0002-6290-5492
University of Stuttgart, Stuttgart, Germany.
2021 (English)In: Design for Tomorrow — Volume 2: Proceedings of ICoRD 2021 / [ed] Amaresh Chakrabarti; Ravi Poovaiah; Prasad Bokil; Vivek Kant, Springer, 2021, Vol. 2, p. 993-1004Conference paper, Published paper (Refereed)
Abstract [en]

A people-centred approach for designing large-scale built-up spaces necessitates systematic anticipation of user’s embodied visuo-locomotive experience from the viewpoint of human-environment interaction factors pertaining to aspects such as navigation, wayfinding, usability. In this context, we develop a behaviour-based visuo-locomotive complexity model that functions as a key correlate of cognitive performance vis-a-vis internal navigation in built-up spaces. We also demonstrate the model’s implementation and application as a parametric tool for the identification and manipulation of the architectural morphology along a navigation path as per the parameters of the proposed visuospatial complexity model. We present examples based on an empirical study in two healthcare buildings and showcase the manner in which a dynamic and interactive parametric (complexity) model can promote behaviour-based decision-making throughout the design process to maintain desired levels of visuospatial complexity as part of a navigation or wayfinding experience. 

Place, publisher, year, edition, pages
Springer, 2021. Vol. 2, p. 993-1004
Series
Smart Innovation, Systems and Technologies, ISSN 2190-3018, E-ISSN 2190-3026 ; 222
Keywords [en]
Visual Perception, Environmental Psychology, Architecture Design, Parametric Design, Cognitive Computational Modelling, Spatial Cognition, AI and Design
National Category
Computer Sciences Human Computer Interaction Applied Psychology Architecture Design
Research subject
Computer Science; Psychology
Identifiers
URN: urn:nbn:se:oru:diva-92156DOI: 10.1007/978-981-16-0119-4_80ISBN: 9789811601194 (electronic)ISBN: 9789811601187 (print)OAI: oai:DiVA.org:oru-92156DiVA, id: diva2:1578184
Conference
8th International Conference on Research into Design (ICoRD 2021, Online Conference), IDC School of Design, IIT Bombay, Mumbai, India, January 7-10, 2021
Available from: 2021-07-05 Created: 2021-07-05 Last updated: 2023-09-27Bibliographically approved
In thesis
1. Behavioural Principles for the Design of Human-Centred Cognitive Technologies: The Case of Visuo-Locomotive Experience
Open this publication in new window or tab >>Behavioural Principles for the Design of Human-Centred Cognitive Technologies: The Case of Visuo-Locomotive Experience
2023 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The successful application, usability, and social emancipation of AI technologies necessitates that the design and implementation of technical systems be founded on human-centred principles, be it cognitive or behavioural, social, ethical etc. Towards this objective, this thesis develops an interdisciplinary methodology for embedding cognitive behavioural principles in the design and development of next-generation human-centred AI technologies that aim to assist and empower humans in everyday life.

The interdisciplinary methodology developed in this research categorically focusses on two key aspects pertaining to human-centred technology design and engineering: (1) human behavioural precedents; and (2) cognitively founded representational and computational modalities:

  • Human behavioural precedents are established by systematically analysing human visuo-locomotive experience during everyday activities involving (embodied) multimodal interactions. We conduct naturalistic behavioural experiments focusing on aspects of visual perception (e.g., inattention blindness) and spatial cognition (e.g., orientation, navigation) in diverse settings of everyday mobility. As specific -in-the-wild- experimental contexts, we focus on behavioural aspects involved in everyday (human) navigation and driving.
  • Representational and computational modalities are developed based on cognitively-driven articulation of behavioural precedents. Particularly, a cognitive model of visuospatial complexity for grounding embodied multimodal interactions is developed by incorporating behavioural precedents pertaining to representations of space, motion, and interaction. Furthermore, precedents concerning human preferences are used as a basis for semantically-driven computational synthesis (e.g. in the generation and manipulation of spatial morphologies), and in the articulation of human-centred evaluation and standardisation of AI systems.

As case studies we demonstrate the developed methodology in the backdrop of two application domains: (a) design assistance technologies, and (b) autonomous driving. More broadly, this thesis emphasises the need for embedding ecologically valid behavioural knowledge within the development of "human-centred" technologies.  Furthermore, this research paves the way for the development of systems that understand, interpret and anticipate human behaviour under ecologically valid naturalistic circumstances.

Place, publisher, year, edition, pages
Örebro: Örebro University, 2023. p. 275
Series
Örebro Studies in Technology, ISSN 1650-8580 ; 97
National Category
Computer Sciences
Identifiers
urn:nbn:se:oru:diva-107556 (URN)9789175295206 (ISBN)
Public defence
2023-10-10, Örebro universitet, Forumhuset, Hörsal F, Fakultetsgatan 1, Örebro, 13:15 (English)
Opponent
Supervisors
Available from: 2023-08-16 Created: 2023-08-16 Last updated: 2023-10-31Bibliographically approved

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Kondyli, VasilikiBhatt, Mehul

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