Exploiting Fitness Apps for Sustainable Mobility – Challenges Deploying the GoEco! App

Bucher, Dominik and Cellina, Francesca and Mangili, Francesca and Raubal, Martin and Rudel, Roman and Rizzoli, Andrea Emilio and Elabed, Omar (2016) Exploiting Fitness Apps for Sustainable Mobility – Challenges Deploying the GoEco! App. In: 4th International Conference on ICT for Sustainability (ICT4S), 29.08.2016 - 01.09.2016, Amsterdam, The Netherlands.

Text 2016_07_15_with_keywords_GoEcoTracker.pdf Download (606kB)

Abstract

The large interest in analyzing one’s own fitness led to the development of more and more powerful smartphone applications. Most are capable of tracking a user’s position and mode of locomotion, data that do not only reflect personal health, but also mobility choices. A large field of research is concerned with mobility analysis and planning for a variety of reasons, including sustainable transport. Collecting data on mobility behavior using fitness tracker apps is a tempting choice, because they include many of the desired functions, most people own a smartphone and installing a fitness tracker is quick and convenient. However, as their original focus is on measuring fitness behavior, there are a number of difficulties in their usage for mobility tracking. In this paper we denote the various challenges we faced when deploying GoEco! Tracker (an app using the Moves fitness tracker to collect mobility measurements), and provide an analysis on how to best overcome them. Finally, we summarize findings after one month of large scale testing with a few hundred users within the GoEco! living lab performed in Switzerland.

Item Type:	Article in conference proceedings or Presentation at a conference (Paper)
Subjects:	Engineering > Civil engineering > Transport engineering Computer sciences > Artificial intelligence Social studies
Department/unit:	Dipartimento ambiente costruzioni e design > Istituto sostenibilità applicata all'ambiente costruito Dipartimento ambiente costruzioni e design > Laboratorio cultura visiva Dipartimento tecnologie innovative > Istituto Dalle Molle di studi sull'intelligenza artificiale
Depositing User:	Francesca Cellina
Date Deposited:	15 Sep 2016 14:01
Last Modified:	15 Sep 2016 14:01
URI:	http://repository.supsi.ch/id/eprint/7714

Actions (login required)

View Item