  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.
