To switch off the coffee-maker or not: That is the question to be energy-efficient at work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Citations (Scopus)

Abstract

There are some barriers to reduce energy consumption in shared spaces where many people use common electronic devices (e.g. dilution of responsibility, the trade-off between comfort and necessity, absentmindedness, or the lack of support to foster energy-efficiency). The workplace is a challenging scenario since the economic incentives are not present to increase energy awareness. To tackle some of these issues we have augmented a shared coffee-maker with eco-feedback to turn it into a green ally of the workers. Its design rationale is twofold: Firstly, to make the coffee-maker able to learn its own usage pattern. Secondly, to communicate persuasively and in real-time to users whether it is more efficient to leave the appliance on or off during certain periods of time along the workday. The goal is to explore a human-machine team towards energy efficiency and awareness, i.e. whether giving the initiative to users to decide how to operate the common appliances, but being assisted by them, is a better choice than automation or mere informative eco-feedback.

Original languageEnglish
Title of host publicationCHI EA 2014
Subtitle of host publicationOne of a ChiNd - Extended Abstracts, 32nd Annual ACM Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
Pages2425-2430
Number of pages6
ISBN (Print)9781450324748
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event32nd Annual ACM Conference on Human Factors in Computing Systems, CHI EA 2014 - Toronto, ON, Canada
Duration: 26 Apr 20141 May 2014

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference32nd Annual ACM Conference on Human Factors in Computing Systems, CHI EA 2014
Country/TerritoryCanada
CityToronto, ON
Period26/04/141/05/14

Keywords

  • Eco-feedback
  • Energy-efficiency
  • Smart devices
  • Workplace

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