Archive for the ‘GPS’ Category

San Francisco Schools Pilot Program: Mobile Carbon Tracker

Monday, March 16th, 2009

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KQED recently did a story on a pilot program in San Francisco where high school students are given Nokia cell phones to test a mobile carbon tracking system.

The way the San Francisco pilot program works is like this: students get a mobile phone equipped with a GPS maps application. They fill out a profile with the make and model of the cars they use. The cell phone monitors movement, so it picks up when that student is making a car trip. The server factors in the time of day, the weather and humidity, and the type of car the student is riding in – and then calculates the amount of carbon output that trip represents.

The program currently doesn’t differentiate between cars and other forms of transportation – bikes, ferries, trains, carpools, buses – so students may need to note when those trips were not regular car trips. The final number is their carbon rating.

When the program expands to three other San Francisco schools at the end of March 2009, a competition will be formed between the high schools to see which group of 25 students can cut back the most on their car trips and carbon output.

That will help answer the question of how much pollution people can save just by altering transportation behavior. And hopefully, the participants here are young enough that those transportation choices might continue after the program has ended. Once they get used to walking or biking, for instance, maybe they’ll make that a regular form of transportation.

Note that this is similar to the UbiGreen Mobile Transportation display; however, in that project we did not use GPS instead opting for a sensing platform that was capable of inferring walking, running, and bicycling in addition to driving in a vehicle.

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Sensing Opportunities for Personalized Feedback Technology to Reduce Consumption

Thursday, March 12th, 2009

I recently wrote a paper for the CHI2009 Workshop: Defining the Role of HCI in the Challenges of Sustainability. The paper is entitled Sensing Opportunities for Personalized Feedback Technology to Reduce Consumption (download it here).

Abstract

Most people are unaware of how their daily activities affect the environment. Previous studies have shown that feedback technology is one of the most effective strategies in reducing electricity usage in the home. In this position paper, we expand the notion of feedback systems to a broad range of human behaviors that have an impact on the environment. In particular, we enumerate five areas of consumption: electricity, water, personal transportation, product purchases, and garbage disposal. For each, we outline their effect on the environment and review and propose methods for automatically sensing them to enable new types of feedback systems.

I had two primary goals in mind while writing this paper:

  1. to inform the reader, particularly HCI practicioners and researchers, about the ways in which environmentally impactful human behaviors can be sensed
  2. to inspire thinking about ways in which these new types of sensor data may be aggregated, analyzed, and fed back to the individual in order to increase awareness about environmentally impactful activities and motivate sustainable behaviors.

Needless to say, a paper such as this begs the question, even if we can automatically sense human activities that impact the environment, should we? Whenever we talk about sensing and automatic detection, Orwellian fears come to mind. These fears are certainly justified. My hope would be that human behavior data need not go beyond the user’s own device. This does not all together eliminate the problem (e.g., the device could be compromised) but certainly mitigates it. A better question is, perhaps: is sensing/feedback technology an effective strategy in reducing consumption? Prior studies in energy feedback technology have demonstrated that providing information about energy use to residents does often reduce consumption. Will this translate to other domains? What are the most effective ways in providing feedback? Does the feedback have to be persuasive or can it simply be informational? For other questions like these, see the paper.

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New iPhone Carbon Tracking App: Clear Standards’ Carbon Tracker

Tuesday, January 27th, 2009

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In what is likely to be the first of many iPhone applications that use the built-in GPS to assist with carbon calculations, Clear Standards has released a free iPhone app called “Carbon Tracker.” As I don’t have an iPhone, I cannot evaluate this application directly but I will offer a few thoughts.

First, as previously mentioned on this blog, the iPhone does not allow applications to run in the background. Thus, I would speculate that in the case of this “Carbon Tracker” application, the user would have to explicitly launch it and have it running as the top level application in order to automatically log trips via GPS. As a result of this constraint, the GPS functionality will likely be underutilized. Not to mention the set of technical challenges relating to how the GPS data is cleansed and segmented into trips as well as user tolerance for inaccurately deduced travel estimations. See my paper with John Krumm on automatically converting car GPS data to the more semantically meaningful “trip” here (specifically, the section entitled “From GPS Data to Trips”).

Second, because the “auto-trip” functionality will likely be undermined by the iPhone’s background process restriction, users will have manually log their trip data in order to produce accurate carbon counting information. In my opinion, a user would have to be extremely motivated to open “Carbon Tracker” and enter such comprehensive trip data.

Finally, what incentives outside of a personal commitment to reducing carbon emissions does one have to use this application? What sort of user will be motivated to maintain accurate records for an indefinite amount of time–would even the most sensitive environmentalist use this application once the novelty wore off replaced by the tedium of manually entering such data? My guess is that Clear Standards has an enterprise version of this application which could rely on corporate policies to enforce usage (e.g., for record keeping purposes). This seems to be supported (and implied) by Richard Mendis, co-founder of Clear Standards:

Although Clear Standards is known for developing carbon management software for businesses, we recognize the important role of individuals in helping to reduce greenhouse gas emissions… The Carbon Tracker iPhone app…engages individuals as part of our overall carbon management and sustainability solutions.

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