Poster Abstract: A Practical Model for Human-Smart Appliances Interaction
- Jonathan Fürst,
- Andreas Fruergaard,
- Marco Høvinghof Johannesen,
- Philippe Bonnet
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewPublication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 235-236 (2 pages)Publication milestones
- Published - 2016
Publication status
Published - 2016
Publisher
Association for Computing Machinery, United StatesISBN (Print)
978-1-4503-4264-3Publication IDs
- Scopus: 85006778828
Host publication title
Proceedings of the 3rd ACM International Conference on Systems for Energy-Efficient Built Environments, BuildSys@SenSys 2016, Palo Alto, CA, USA, November 16-17, 2016Abstract
Buildings are increasingly equipped with smart appliances that allow a fine grained adaption to personal comfort requirements. Such comfort adaption should be based on a human-feedback loop and not on a centralized comfort
model. We argue that this feedback-loop should be achieved through local interaction with smart appliances. Two issues stand out: (1) How to impose logical locality when interacting with a smart appliance? (2) How to mediate conflicts between several persons in a room, or between building-wide policies and user preferences? We approach both problems by defining a general model for human-smart appliance interaction. We present a prototype implementation with an off-the-shelf smart lighting and heating system in a shared office space. Our approach minimizes the need for location metadata. It relies on a human-feedback loop (both sensor based and manual) to identify the optimal setpoints for lights and heating. These setpoints are determined by considering individual comfort preferences, current user location and a global goal of minimizing energy consumption.
model. We argue that this feedback-loop should be achieved through local interaction with smart appliances. Two issues stand out: (1) How to impose logical locality when interacting with a smart appliance? (2) How to mediate conflicts between several persons in a room, or between building-wide policies and user preferences? We approach both problems by defining a general model for human-smart appliance interaction. We present a prototype implementation with an off-the-shelf smart lighting and heating system in a shared office space. Our approach minimizes the need for location metadata. It relies on a human-feedback loop (both sensor based and manual) to identify the optimal setpoints for lights and heating. These setpoints are determined by considering individual comfort preferences, current user location and a global goal of minimizing energy consumption.
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