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FORE-Watch – The Clock That Tells You When to Use: Persuading Users to Align Their Energy Consumption with Green Power Availability

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 7040)

Abstract

Besides saving energy, using it at the right time (i.e. when there is a supply surplus, and the power is produced by sustainable power sources such as hydroelectricity or wind) is an important possibility to achieve positive effects for the environment. To enable the user to align their behavior with the dynamics of the energy generation they need to be informed about the current status of power supply and grid capacity. Furthermore, to be able to plan their behavior and possibly delay or advance consumption activities to more proper moments they also need to have access to high-quality forecasts about the future status of green energy supply. In this paper we present an ambient display design solution based on a common watch that is optimized for providing this information in an unobtrusive, ambient and persuasive way. We present and discuss requirements identified by use of literature analysis, focus groups and end-user questionnaires, outline approaches to calculate basic power generation forecasts based on weather forecast data and present an ambient interface concept designed to meet the identified requirements. We conclude that the developed approach has high potential to support desired behavior changes, and that achieving acceptable accuracy levels for the generation forecast is feasible with relatively little effort.

Keywords

  • ambient display
  • persuasion
  • eco-feedback
  • user-centered design

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© 2011 Springer-Verlag Berlin Heidelberg

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Schrammel, J., Gerdenitsch, C., Weiss, A., Kluckner, P.M., Tscheligi, M. (2011). FORE-Watch – The Clock That Tells You When to Use: Persuading Users to Align Their Energy Consumption with Green Power Availability. In: , et al. Ambient Intelligence. AmI 2011. Lecture Notes in Computer Science, vol 7040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25167-2_19

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  • DOI: https://doi.org/10.1007/978-3-642-25167-2_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25166-5

  • Online ISBN: 978-3-642-25167-2

  • eBook Packages: Computer ScienceComputer Science (R0)