University of Leicester
Browse

Exploring the Flexibility of Everyday Practices for Shifting Energy Consumption through ClockCast

Download (955.54 kB)
conference contribution
posted on 2018-05-21, 10:43 authored by Majken K. Rasmussen, Mia Kruse Rasmussen, Nervo Verdezoto, Robert Brewer, Laura L. Nielsen, Niels Olof Bouvin
Encouraging sustainable living by raising awareness of resource consumption has long been a topic within HCI. However, getting people to change behavior when it comes to energy consumption is difficult. This is one of the major challenges ahead for future energy systems, in particular if resources are renewable and plentiful. We developed the ClockCast prototypes (web and clock forecast) to explore demand response and the flexibility potential of everyday practices. We wanted to reframe the conversation on demand response: from highlighting when not to use energy to highlighting when to use it. The ClockCast prototypes display the best times to use electricity, and they were complemented by proactive and positive suggestions. We conducted a pilot study with five different households to uncover the socio-technical challenges around shifting consumption and the participants' experiences with the prototypes. While the participants increased their awareness of the environmental implications of their actions, shifted some electricity use, and found the forecasts useful, some participants also reported newfound guilt when they did not follow the forecasts.

Funding

This work has been supported by The Danish Council for Strategic Research as part of the EcoSense project (11-115331) and by the Danish Energy Agency project: Virtual Power Plant for Smart Grid-Ready Buildings (12019).

History

Citation

Proceeding OZCHI '17 Proceedings of the 29th Australian Conference on Computer-Human Interaction, 2017, Pages 296-306

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Informatics

Source

The 29th Australian Conference on Human-Computer Interaction, Brisbane, Queensland, Australia

Version

  • AM (Accepted Manuscript)

Published in

Proceeding OZCHI '17 Proceedings of the 29th Australian Conference on Computer-Human Interaction

Publisher

ACM New York, NY, USA

isbn

978-1-4503-5379-3

Acceptance date

2017-08-04

Copyright date

2017

Available date

2018-05-21

Publisher version

https://dl.acm.org/citation.cfm?id=3152803

Temporal coverage: start date

2017-11-28

Temporal coverage: end date

2017-12-01

Language

en

Usage metrics

    University of Leicester Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC