Title
Learning from tracking waste: How transparent trash networks affect sustainable attitudes and behavior
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.
Year
DOI
Venue
2014
10.1109/WF-IoT.2014.6803134
Internet of Things
Keywords
Field
DocType
Global Positioning System,object tracking,waste,grassroots level,networked GPS sensors,real-time maps,sensor data,transparent trash networks,trash movement,waste tracking,Distributed sensing networks,behavior change,green IoT,real-time maps,smart cities,waste tracking
Internet privacy,Computer security,Computer science,Simulation,Internet of Things,Outreach,Video tracking,Global Positioning System,Grassroots,Sustainability,Behavior change,The Internet
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
4
Name
Order
Citations
PageRank
David Lee192.61
Dietmar Offenhuber2276.31
Assaf Biderman31099.74
Carlo Ratti41211113.38