Extracting Eco-Feedback from Movement Trajectories

Bucher, Dominik and Mangili, Francesca and Bonesana, Claudio and Jonietz, David and Cellina, Francesca and Raubal, Martin (2017) Extracting Eco-Feedback from Movement Trajectories. In: SCCER Mobility Annual Conference 2017, 15.09.2017, ETH Zurich, Switzerland.

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Abstract

GoEco! is one of several smartphone applications that perform automatic mobility tracking. In contrast to many others, it uses the tracked movement data to compute possible behavioral improvements of its users, and provides this assessment as eco-feedback in various forms. These include booklets detailing user journeys and possible alternatives in detail, an in-app feedback screen which summarizes the information given in the booklets, as well as gamification elements that use the computed improvements as a base to compute progress towards goals and challenges, award trophies and allow people to compete against each other. This poster discusses the various steps involved in producing comprehensive yet easy to communicate ecofeedback from the raw movement data, and introduces estimations of potential CO2 savings and preliminary findings from providing the users of GoEco! with this eco-feedback. Extracting Eco-Feedback from Movement Trajectories. Available from: https://www.researchgate.net/publication/320079129_Extracting_Eco-Feedback_from_Movement_Trajectories [accessed Oct 4, 2017].

Item Type:	Article in conference proceedings or Presentation at a conference (Poster)
Subjects:	Computer sciences > Artificial intelligence
Department/unit:	Dipartimento ambiente costruzioni e design > Istituto sostenibilità applicata all'ambiente costruito
Depositing User:	Francesca Cellina
Date Deposited:	05 Oct 2017 06:24
Last Modified:	05 Oct 2017 06:24
URI:	http://repository.supsi.ch/id/eprint/8704

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