Visuo-Locomotive Complexity as a Component of Parametric Systems for Architecture Design
This work provides architects with a behavior-based parametric tool to design built-up spaces that optimize user navigation and wayfinding experiences.
This paper introduces a visuo-locomotive complexity model to anticipate user experience in large-scale built-up spaces. The model functions as a parametric tool to identify and manipulate architectural morphology along navigation paths, demonstrated through an empirical study in two healthcare buildings.
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.