DocumentCode
132013
Title
Learning from tracking waste: How transparent trash networks affect sustainable attitudes and behavior
Author
Lee, Daewoo ; Offenhuber, Dietmar ; Biderman, Assaf ; Ratti, C.
Author_Institution
SENSEable City Lab., Massachusetts Inst. of Technol., Cambridge, MA, USA
fYear
2014
fDate
6-8 March 2014
Firstpage
130
Lastpage
134
Abstract
Building on top of an experiment in tracking the movement of trash, we tested whether viewing this sensor data would change peoples´ sustainability attitudes and behaviors. We showed subjects real-time maps of trash tagged with networked GPS sensors, and surveyed them before and after seeing this information. Our results show that subjects did not significantly change their behavior in the long run, but they reported better understanding of where their trash went and how tracking technologies worked. Those who participated in deploying sensors reacted differently on some questions from those who had not volunteered. This study illustrates both limits and new opportunities for the Internet of Things to improve sustainability outreach and action at the grassroots level.
Keywords
Global Positioning System; object tracking; waste; grassroots level; networked GPS sensors; real-time maps; sensor data; transparent trash networks; trash movement; waste tracking; Cities and towns; Internet; Real-time systems; Recycling; Sensors; Tracking; Waste disposal; Distributed sensing networks; behavior change; green IoT; real-time maps; smart cities; waste tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Internet of Things (WF-IoT), 2014 IEEE World Forum on
Conference_Location
Seoul
Type
conf
DOI
10.1109/WF-IoT.2014.6803134
Filename
6803134
Link To Document