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SICS Software-Intensive Cyber-Physical Systems
Published in: SICS Software-Intensive Cyber-Physical Systems 1-2/2018

30-08-2017 | Special Issue Paper

Demo Abstract: Extracting eco-feedback information from automatic activity tracking to promote energy-efficient individual mobility behavior

Authors: Dominik Bucher, Francesca Mangili, Claudio Bonesana, David Jonietz, Francesca Cellina, Martin Raubal

Published in: SICS Software-Intensive Cyber-Physical Systems | Issue 1-2/2018

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Abstract

Nowadays, most people own a smartphone which is well suited to constantly record the movement of its user. One use of the gathered mobility data is to provide users with feedback and suggestions for personal behavior change. Such eco-feedback on mobility patterns may stimulate users to adopt more energy-efficient mobility choices. In this paper, we present a methodology to extract mobility patterns from users’ trajectories, compute alternative transport options, and aggregate and present them in an intuitive way. The resulting eco-feedback helps people understand their mobility choices and explore sustainable alternatives.
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Literature
1.
Bucher D, Cellina F, Mangili F, Raubal M, Rudel R, Rizzoli AE, Elabed O (2016) Exploiting fitness apps for sustainable mobility-challenges deploying the GoEco! app. ICT for Sustainability (ICT4S)
2.
Cellina F, Bucher D, Raubal M, Rudel R, de Luca V, Botta M (2016) GoEco!—a set of smartphone apps supporting the transition towards sustainable mobility patterns. Change-IT Workshop at ICT for Sustainability (ICT4S)
3.
Fogg BJ (2002) Persuasive technology: using computers to change what we think and do. Ubiquity 2002(December):5CrossRef
4.
Froehlich J, Dillahunt T, Klasnja P, Mankoff J, Consolvo S, Harrison B, Landay JA (2009) Ubigreen: investigating a mobile tool for tracking and supporting green transportation habits. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1043–1052. ACM
5.
Froehlich J, Findlater L, Landay J (2010) The design of eco-feedback technology. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1999–2008. ACM
6.
Gabrielli S, Maimone R, Forbes P, Wells S (2013) Exploring change strategies for sustainable urban mobility. In: Designing social media for change at the ACM SIG-CHI conference on human factors in computing systems (CHI 2013)
7.
Weiser P, Scheider S, Bucher D, Kiefer P, Raubal M (2016) Towards sustainable mobility behavior: research challenges for location-aware information and communication technology. GeoInformatica 20(2):213–239CrossRef
Metadata
Title
Demo Abstract: Extracting eco-feedback information from automatic activity tracking to promote energy-efficient individual mobility behavior
Authors
Dominik Bucher
Francesca Mangili
Claudio Bonesana
David Jonietz
Francesca Cellina
Martin Raubal
Publication date
30-08-2017
Publisher
Springer Berlin Heidelberg
Published in
SICS Software-Intensive Cyber-Physical Systems / Issue 1-2/2018
Print ISSN: 2524-8510
Electronic ISSN: 2524-8529
DOI
https://doi.org/10.1007/s00450-017-0375-2

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