Socio-Spatial Comfort: Using Vision-Based Analysis to Inform User-Centered Human-Building Interactions

Bokyung Lee, Mike Lee, Pan Zhang, Alex Tessier, Daniel Saakes, Azam Khan

Best Paper Award
Conference on Computer-Supported Cooperative Work and Social Computing (CSCW)
2020

Abstract

A well-designed workplace has a direct and significant impact on our work experiences and productivity. In this paper, we investigate how office interior layouts influence the way we socially experience office buildings. We extend the previous work that examined static social formations of office workers by looking at their dynamic movements during informal desk visiting interactions. With a month of video data collected in the office, we implemented a vision-based analysis system that enables us to examine how people occupy space in social contexts in relation to desk configurations.

The results showed that both social territoriality and approach path highlight social comfort in human-building interactions, which are different from efficiency or path optimization. From these findings, we propose the concepts of socio-spatial comfort: social buffers, privacy buffers, and varying proxemics to inform a user-centered way of designing human building interactions and architecture.

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