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"I'd Want to Burn the Data or at Least Nobble the Numbers": Towards Data-mediated Building Management for Comfort and Energy Use
Northumbria Univ, Newcastle Upon Tyne, Tyne & Wear, England..
Newcastle Univ, Newcastle Upon Tyne, Tyne & Wear, England..
Newcastle Univ, Newcastle Upon Tyne, Tyne & Wear, England..ORCID iD: 0000-0003-2841-7580
Newcastle Univ, Newcastle Upon Tyne, Tyne & Wear, England..ORCID iD: 0000-0002-3127-1917
2017 (English)In: CSCW'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK AND SOCIAL COMPUTING, Association for Computing Machinery (ACM) , 2017, p. 2448-2461Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we explore the role of pervasive environmental sensor data in workplace building management. Current interactions between management and workplace occupants are limited by the gap between experiences of (dis)comfort (i.e. individual preferences and perceptions) and the rigid objectivity of organisational policies and procedures such as static setpoint temperatures for indoor spaces. Our hypothesis is that pervasive sensor data that captures the indoor climate can provide an effective platform from which to more successfully communicate about comfort and energy use. Through a qualitative study with building managers and occupants, we show that while data does not necessarily resolve these tensions, it provides an engaging forum for a more inclusive building management process, and we outline directions for taking a more conversational approach in the design of comfort and energy-use interventions for the workplace.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM) , 2017. p. 2448-2461
Keywords [en]
Comfort, Energy, Building management, Data, Intervention
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:kth:diva-259228DOI: 10.1145/2998181.2998188ISI: 000455087800179Scopus ID: 2-s2.0-85014740620OAI: oai:DiVA.org:kth-259228DiVA, id: diva2:1350798
Conference
ACM CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK AND SOCIAL COMPUTING
Projects
project SFLAB
Note

QC 20190916

Available from: 2019-09-12 Created: 2019-09-12 Last updated: 2022-08-24Bibliographically approved

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fulltext(418 kB)222 downloads
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Olivier, PatrickComber, Robert
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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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  • asciidoc
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