Abstract Details
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Activity Number:
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282
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Type:
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Invited
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Date/Time:
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Tuesday, August 6, 2013 : 8:30 AM to 10:20 AM
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Sponsor:
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Social Statistics Section
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| Abstract - #307253 |
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Title:
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Use of Smartphone as a Methodology for Scientific Data Collection
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Author(s):
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Raja Sengupta*+
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Companies:
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UC Berkeley
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Keywords:
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SmartPhones ;
Sustainability ;
Travel Demand ;
GPS ;
Travel Diary
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Abstract:
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We present Quantified Traveler, an application able to collect data on your phone, to show you how you travel. One can learn the cost, GHG footprint, exercise enjoyed, and time spent traveling and watch it in relation to ones peers. The system is enabled by underlying signal processing and machine learning algorithms able to collect the data used to compute all of this, without draining battery, negotiating GPS errors, and doing all of this accurately enough to provide me with a reasonable sense of my travel footprint. The system has been evaluated with a 135 subject cohort at UC Berkeley. Analysis of the data shows a measurable increase in walking with a corresponding reduction in driving. Causal analysis of the data reveals changes in awareness, norms, and attitude explaining the increase in sustainable travel.
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Authors who are presenting talks have a * after their name.
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