Projects per year
Abstract / Description of output
Decreasing our demand for energy is an important component of the global effort to reduce carbon emissions. Energy consumption, both at home and in the workplace, is greatly influenced by human behaviour. Our research investigates how technological interventions could support behaviour-based energy reduction. This paper reports a Living Lab study on the co-design of a device for improving energy efficiency via behaviour change in a large public-sector organisation. We emphasise the importance of taking a broad view of organisational behaviour, highlighting the complex and indirect ways that it influences energy use. Methods and findings are reported from a series of insight and innovation workshops that we held with staff, and which led to the development of a prototype device - LILEE: The Little Interface for Lab Equipment Efficiency. We describe LILEE and discuss how it embodies wider lessons for the design of effective energy-related behaviour change interventions.
Original language | English |
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Article number | 125 |
Number of pages | 23 |
Journal | Proceedings of the ACM on Human-Computer Interaction |
Volume | 2 |
Issue number | CSCW |
DOIs | |
Publication status | Published - 1 Nov 2018 |
Keywords / Materials (for Non-textual outputs)
- Energy
- co-design
- living lab
- behaviour change
- organisations
Fingerprint
Dive into the research topics of 'Co-Designing a Device for Behaviour-Based Energy Reduction in a Large Organisation'. Together they form a unique fingerprint.Projects
- 1 Finished
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Data-Driven Sociotechnical Energy Management in Public Sector buildings
1/06/15 → 30/11/18
Project: Research
Profiles
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Nigel Goddard
- School of Informatics - Reader
- Institute for Adaptive and Neural Computation - Director
- Global Environment and Society Academy - Steering Committee Member
- Data Science and Artificial Intelligence
Person: Academic: Research Active
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Lynda Webb
- School of Informatics - Senior Researcher
- Institute for Adaptive and Neural Computation
- Data Science and Artificial Intelligence
Person: Academic: Research Active (Research Assistant)