Publication | ACM Designing Interactive Systems (DIS) 2021

COVID-19 Facility Planning and Analysis

Designing a Multi-Agent Occupant Simulation System

The COVID-19 pandemic has made virus transmission a significant factor in designing buildings to ensure people’s safety. This paper proposed a system to help designers and facilities managers visualize the relationship between a built environment, human behavior, and risk of infection during the early stage of design.

Download publication

Abstract

Designing a Multi-Agent Occupant Simulation System to Support Facility Planning and Analysis for COVID-19

Bokyung Lee, Michael Lee, Jeremy Mogk, Rhys Goldstein, Jacky Bibliowicz, Frederik Brudy, Alexander Tessier

ACM Designing Interactive Systems (DIS) 2021 (Honorable Mention Award)

The COVID-19 pandemic changed our lives, forcing us to reconsider our built environment, architectural designs, and even behaviours. Multiple stakeholders, including designers, building facility managers, and policy makers, are making decisions to reduce SARS-CoV-2 virus transmission and make our environment safer; however, systems to effectively and interactively evaluate virus transmission in physical spaces are lacking. To help fill this gap, we propose OccSim, a system that automatically generates occupancy behaviours in a 3D model of a building and helps users analyze the potential effect of virus transmission from a large-scale and longitudinal perspective. Our participatory evaluation with four groups of stakeholders revealed that OccSim could enhance their decision making processes by identifying specific risks of virus transmission in advance, and illuminating how each risk relates to complex human-building interactions. We reflect on our design and discuss OccSim’s potential implications in the domains of design evaluation, generative design, and digital twins.

Related Resources

See what’s new.

Publication

2022

A Discretization-free Metric For Assessing Quality Diversity Algorithms

A multi-scale generative design model that adapts the Wave Function…

Publication

2021

RXMesh: A GPU Mesh Data Structure

We propose a new static high-performance mesh data structure for…

Publication

2020

Learning to Simulate and Design for Structural Engineering

The structural design process for buildings is time consuming and…

Publication

2019

Demo: Semantic Human Activity Annotation Tool Using Skeletonized Surveillance Videos

Human activity data sets are fundamental for intelligent activity…

Get in touch

Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.

Contact us