# Visuo-Locomotive Complexity as a Component of Parametric Systems for Architecture Design

arXiv: https://arxiv.org/abs/2012.10710 · HTML: https://mlsanity.com/paper/2012.10710/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 Dec 2020.

## Built on by (most cited first, 1 of 1)

- [A Human-Factors Guided Cognitive Model of Visuospatial Complexity in Embodied Active Vision](https://mlsanity.com/paper/2608.23572/) (2026)

## Abstract (arXiv)

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.