Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Exploring the flexibility of everyday practices for shifting energy consumption through clockcast

Rasmussen, Majken K., Rasmussen, Mia Kruse, Verdezoto, Nervo ORCID:, Brewer, Robert, Nielsen, Laura L. and Bouvin, Niels Olof 2017. Exploring the flexibility of everyday practices for shifting energy consumption through clockcast. Presented at: 29th Australian Conference on Human-Computer Interaction (OzCHI 2017), Brisbane, Australia, 28 November - 1 December 2017. OZCHI '17: Proceedings of the 29th Australian Conference on Computer-Human Interaction. ACM, pp. 296-306. 10.1145/3152771.3152803

[thumbnail of ClockCast-camera-ready-updated.pdf]
PDF - Accepted Post-Print Version
Download (978kB) | Preview


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.

Item Type: Conference or Workshop Item (Paper)
Status: Published
Schools: Computer Science & Informatics
Publisher: ACM
ISBN: 9781450353793
Date of First Compliant Deposit: 15 November 2022
Last Modified: 15 Nov 2022 09:43

Citation Data

Cited 11 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics