Conversations with my washing machine: an in-the-wild study of demand-shifting with self-generated energy
- Submitting institution
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The Open University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1587362
- Type
- E - Conference contribution
- DOI
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10.1145/2632048.2632106
- Title of conference / published proceedings
- 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2014)
- First page
- 459
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- September
- Year of publication
- 2014
- URL
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http://ubicomp.org/ubicomp2014/index.php
- Supplementary information
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- 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
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4
- Research group(s)
-
-
- Citation count
- 26
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Energy demand-shifting requires consumers to juggle multiple competing constraints within domestic routines. This research investigated how to support effective demand-shifting in people's laundry routines using smart technologies, such as context-informed messaging. The work was nominated for best paper at the leading conference for ubiquitous computing (Ubicomp 2014, acceptance rate 23%), in recognition of the challenges involved in conducting such longitudinal research within real domestic settings of 18 households. It has been cited regularly in the context of smart home, energy and sustainability studies. With co-authors from EoN, this collaboration continued into the £20M MK:Smart (www.mksmart.org) smart cities project.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -