Spaiser, V orcid.org/0000-0002-5892-245X, Luzzatti, D and Gregoriou, A (2019) Advancing sustainability: Using smartphones to study environmental behavior in a field-experimental setup. Data Science: Methods, Infrastructure, and Applications, 2 (1-2). pp. 277-290. ISSN 2451-8484
Abstract
Ecological sustainability is the defining challenge of our time. Here we suggest a methodological approach that could help to investigate how environmental behavior (transport behavior, energy consumption, food consumption, goods consumption, wasting) dilemmas can be overcome on an individual level in real life by using smartphones to collect daily behavioral data in a field-experimental setup. Previous related studies are reviewed and we discuss how the boundaries of what can be done with smartphones for data collection and experimental purposes can be pushed further to allow for complex behavioral studies. Results from a pilot study are presented to discuss the feasibility and potential of this approach. The pilot shows that studying social dilemma behavior via smartphones is feasible and has potential value as a behavioral intervention tool.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2018 – IOS Press and the authors. This article is published online with Open Access and distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) |
Keywords: | field experiment; smartphone data; environmental behavior; sustainability; social dilemma; living laboratory |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Education, Social Sciences and Law (Leeds) > School of Politics & International Studies (POLIS) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 06 Aug 2018 14:08 |
Last Modified: | 22 Dec 2019 15:36 |
Status: | Published |
Publisher: | IOS Press |
Identification Number: | 10.3233/DS-180014 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:134084 |
Download
Filename: vor ds_2019_2-1-2_ds-2-1-2-ds180014_ds-2-ds180014.pdf
Licence: CC-BY 4.0