Co-Designing a Device for Behaviour-Based Energy Reduction in a Large Organisation
- Submitting institution
-
University of Edinburgh
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 133604605
- Type
- D - Journal article
- DOI
-
10.1145/3274394
- Title of journal
- Proceedings of the ACM on Human-Computer Interaction
- Article number
- 125
- First page
- -
- Volume
- 2
- Issue
- CSCW
- ISSN
- 2573-0142
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
B - Data Science and Artificial Intelligence
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Energy demand reduction is essential to reduce carbon emissions, and is influenced by human behaviour. A digital intervention was developed using a socio-technical approach, considering the interaction of social, technical, and cultural factors of stakeholders. The output is being considered for a bigger trial in the University. Methodology of insight workshops has been developed into a tool for untrained workshop facilitators, increasing opportunity for use/scalability. Pre-Covid-19 had NDA with a large retail company (1000+stores UK) for the tool. Currently converting to an online version for trials with the City of Edinburgh Council and future use across Scottish public sector organisations.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -