Capturing the movement of people in architectural configurations can give insight into how geometry affects how people navigate space, but also how different configurations suppress or nurture conversations and social behaviour. People feel more comfortable to have conversations and be social in a specific type of space, but it is not known what geometrical factors are most influential. Suppressing or nurturing peoples ability to comfortably communicate can lead to fruitful ad-hoc conversations between people from different departments in workspace, and therefore drive business value. People tracking methods from the paradigm of Artificial Intelligence, more specifically Computer Vision have been more and more accessible, but not utilised to relate the movement of people in space to their social behaviour. This project is exploring how different configurations of standing tables in a reception area leads to more or less social interactions, measured in number as well as the duration of conversations. Another part of the project is utilising people tracking technology in exhibition space to understand what art pieces might be most attractive for people giving exhibitions the ability to curate their artwork in the interest of people, data-driven.
Captured Movement Data in ZHA Reception Area
Movement Data Project in ZHA Evolution Exhibition at Arts University of Bournemouth
ModCam Sensor Setup
Sample Movement Data
Movement Data Captured Over One Month
Average Month
Average Day
Total Visiting Count of Various Areas in Exhibition
