A collective map to capture human behavior for the design of public spaces

Authors:
Mizuki Oka;Tom Hope;Yasuhiro Hashimoto;Ryoko Uno;Myeong-Hee Lee
Affiliations:
The University of Tokyo, Tokyo, Japan;Tokyo Institute of Technology, Tokyo, Japan;The University of Tokyo, Tokyo, Japan;Tokyo University of Agriculture and Technology, Tokyo, Jordan;Design Office Matt, Tokyo, Japan
Venue:
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Year:
2011

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Abstract

This paper explores potential uses of publicly created behavioral data for spatial (re)design. The widespread use of mobile devices and access to the Internet has made spontaneous sharing of information about one's life increasingly common. These emerging trends of pervasive life logging and sensing in communal space provoke new opportunities for designers and architects. This paper reports on work in progress, introducing a set of tools to support spatial design via the collection and analysis of human behavior using Twitter, and presents the result of a workshop using the tools in a university library in Japan. We offer ways to analyze and visualize the data and discuss what we can observe from the collected data that may be useful for designing such communal spaces.