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Reducing temporal tensions as a strategy to promote sustainable behaviours

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journal contribution
posted on 2016-05-04, 16:03 authored by Luis C.R. Oliveira, Val MitchellVal Mitchell, Andrew MayAndrew May
This research proposes that it is possible to deliberately reduce temporal tensions in order to promote energy saving behaviours. People may not dedicate enough time to planning their tasks that consume energy, rushing into them without much deliberation. They may also use more energy than necessary in an attempt to accelerate processes that seem to be taking too long, to reduce the boredom of waiting. Persuasive technology provided the tools to manipulate the perception of time and therefore elicit changes in the specific behaviours that result in unnecessary energy usage. Cooking tasks were used as the scenario to test behaviour change strategies delivered via a smartphone application. Results showed that these strategies facilitated the performance of sustainable behaviours. Participants reported that the app made (1) them more likely to follow the steps needed to use less energy, (2) the activity more enjoyable and (3) the time appear to pass more quickly compared to a control version.

Funding

The researchers would like to thank Loughborough Design School, Loughborough University,for funding this research.

History

School

  • Design

Published in

Computers in Human Behavior

Volume

62

Issue

September

Pages

303 - 315

Citation

OLIVEIRA, L., MITCHELL, V. and MAY, A., 2016. Reducing temporal tensions as a strategy to promote sustainable behaviours. Computers in Human Behavior, 62, pp. 303 - 315.

Publisher

© Elsevier

Version

  • AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

2016-04-01

Publication date

2016

Notes

This paper was accepted for publication in the journal Computers in Human Behavior and the definitive published version is available at http://dx.doi.org/10.1016/j.chb.2016.04.004

ISSN

0747-5632

Language

  • en