skip to main content
research-article

Uncovering practices of making energy consumption accountable: A phenomenological inquiry

Authors Info & Claims
Published:27 May 2013Publication History
Skip Abstract Section

Abstract

Reacting to the discussion on global warming, the HCI community has started to explore the design of tools to support responsible energy consumption. An important part of this research focuses on motivating energy savings by providing feedback tools which present consumption metrics interactively. In this line of work, the configuration of feedback has been mainly discussed using cognitive or behavioral factors. This narrow focus, however, misses a highly relevant perspective for the design of technology that supports sustainable lifestyles: to investigate the multiplicity of forms in which individuals or collectives actually consume energy. In this article, we broaden this focus, by taking a phenomenological lens to study how people use off-the-shelf eco-feedback systems in private households to make energy consumption accountable and explainable. By reconstructing accounting practices, we delineate several constitutive elements of the phenomenon of energy usage in daily life. We complement these elements with a description of the sophisticated methods used by people to organize their energy practices and to give a meaning to their energy consumption. We describe these elements and methods, providing examples coming from the fieldwork and uncovering observed strategies to account for consumption. Based on our results, we provide a critical perspective on existing eco-feedback mechanisms and describe several elements for a design rationale for designing support for responsible energy consumption. We argue that interactive feedback systems should not simply be an end, but rather a resource for the construction of the artful practice of making energy consumption accountable.

References

  1. Abrahamse, W., Steg, L., Vlek, C., and Rothengatter, T. 2005. A review of intervention studies aimed at household energy conservation. J. Environ. Psychol. 25, 273--291.Google ScholarGoogle ScholarCross RefCross Ref
  2. Blevis, E. 2007. Sustainable interaction design: Invention and disposal, renewal and reuse. In Proceedings of the Conference on Human Factors in Computing Systems. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Bonino, D., Corno, F., and Russis, L. D. 2012. Home energy consumption feedback: A user survey. Energy Build. 47, 383--393.Google ScholarGoogle ScholarCross RefCross Ref
  4. Brynjardottir, H., Hakansson, M., Pierce, J., Baumer, E. P. S., Di Salvo, C., and Sengers, P. 2012. Sustainably unpersuaded: How persuasion narrows our vision of sustainability. In Proceedings of the ACM International Conference on Human Factors in Computer Systems (CHI'12). 947--956. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Bundesververbandverbraucherzentrale. 2010. Erfolgsfaktoren von smart metering aus verbrauchersicht, Verbraucherzantrale bundesverband e.V. In Innovation.Google ScholarGoogle Scholar
  6. Burgess, J. and Nye, M. 2008. Re-materialising energy use through transparent monitoring systems. Energy 36, 4454--4459.Google ScholarGoogle Scholar
  7. Button, G. and Dourish, P. 1996. Technomethodology: Paradoxes and possibilities. In Proceedings of the ACM International Conference on Human Factors in Computing Systems (CHI'96). 19--29. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Chalmers, M. 2004. A historical view of context. Comput. Support. Coop. Work 13. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Chetty, M., Tran, D., and Grinter, R. E. 2008. Getting to green: Understanding resource consumption in the home. In Proceedings of the 10th International Conference on Ubiquitous Computing (UbiComp'08). ACM Press, New York, 242--251. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Crabtree, A. 2003. Designing Collaborative Systems: A Practical Guide to Ethnography. Springer. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Crabtree, A. 2004a. Design in the absence of practice: Breaching experiments. In Proceedings of the 5th Conference on Designing Interactive Systems (DIS'04). ACM Press, New York, 59--68. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Crabtree, A. 2004b. Technomethodology. http://www.mrl.nott.ac.uk/~axc/documents/papers/RC3304.pdf.Google ScholarGoogle Scholar
  13. Darby, S. 2001. Making it obvious: Designing feedback into energy consumption. In Proceedings of the 2nd International Conference on Energy Efficiency in Household Appliances and Lighting. Springer, 685--696.Google ScholarGoogle ScholarCross RefCross Ref
  14. Darby, S. 2006. The effectiveness of feedback on energy consumption. A review for defra of the literature on metering, billing and direct displays. http://www2.z3controls.com/doc/ECI-Effectiveness-of-Feedback.pdf.Google ScholarGoogle Scholar
  15. Davis, F. D. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology (MISQ 89). Manag. Inf. Syst. Quart. 13, 319--339. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. DiSalvo, C., Sengers, P., and Brynjarsdottir, H. 2010. Mapping the landscape of sustainable hci. In Proceedings of the 28th International ACM Conference on Human Factors in Computing Systems (CHI'10). ACM Press, New York. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Dourish, P. 2004. What we talk about when we talk about context. Personal Ubiq. Comput. 8.Google ScholarGoogle Scholar
  18. Dourish, P. 2006. Implications for design. In Proceedings of the ACM International Conference on Human Factors in Computing Systems (CHI'06). 541. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Dourish, P. 2010. HCI and environmental sustainability: The politics of design and the design of politics. In Proceedings of the 8th ACM Conference on Designing. 1--10. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. EEA. 2011. Final electricity consumption by sector (ENER 018). Tech rep., European Environment Agency.Google ScholarGoogle Scholar
  21. Egan, C. and Policy, E. 1995. How customers interpret and use comparative graphics of their energy use and use comparative graphics of their energy. Compar. General Pharmacol., 39--45.Google ScholarGoogle Scholar
  22. EIA. 2011a. Annual energy review 2010. Office of Integrated Analysis and Forecasting, Energy Information Agency, US Department of Energy, 407--407.Google ScholarGoogle Scholar
  23. EIA. 2011b. International energy outlook 2011. http://www.eia.gov/forecasts/ieo/.Google ScholarGoogle Scholar
  24. Fallman, D. 2003. In romance with the materials of mobile interaction: A phenomenological approach to the design of mobile information technology. http://daniel.fallman.org/resources/thesis/ubfinal.pdf.Google ScholarGoogle Scholar
  25. Fallman, D. 2011. The new good: Exploring the potential of philosophy of technology to contribute to human-computer interaction. http://daniel.fallman.org/resources/papers/chi2011-thenewgood.pdf. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Federal Statistical Office of Germany. 2011. Income, consumption and living standards - Households in the informations society (ICT). Tech. rep., Federal Statistical Office Germany, 182.Google ScholarGoogle Scholar
  27. Fischer, C. 2008. Feedback on household electricity consumption: A tool for saving energy? Energy Efficiency 1, 79--104.Google ScholarGoogle Scholar
  28. Fitzpatrick, G. and Smith, G. 2009. Technology-enabled feedback on domestic energy consumption: Articulating a set of design concerns. IEEE Pervas. Comput. 8, 37--44. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. Flick, U. 2006. Assessing the quality of qualitative health research: Criteria, process and writing. An Intro. Qualit. Res. 10, 384--387.Google ScholarGoogle Scholar
  30. Flick, U. 2007. Designing Qualitative Research. Sage Publications.Google ScholarGoogle Scholar
  31. Folstad, A. 2008. Living labs for innovation and development of information and communication technology: A literature review. Electron. J. Virtual Organ. Netw. 10, 99--131.Google ScholarGoogle Scholar
  32. Fraser, I. 1998. Hegel and Marx: The Concept of Need. Edinburgh University Press.Google ScholarGoogle Scholar
  33. Froehlich, J., Findlater, L., and Landay, J. 2010. The design of eco-feedback technology. In Proceedings of the 28th International Conference on Human Factors in Computing Systems (CHI'10). ACM Press, New York. Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. Garfinkel, H. 1967. Studies in Ethnomethodology. Prentice-Hall.Google ScholarGoogle Scholar
  35. Garfinkel, H. 1994. Studies in Ethnomethodology. Wiley-Blackwell.Google ScholarGoogle Scholar
  36. Gaver, W., Beaver, J., and Benford, S. 2003. Ambiguity as a resource for design. In Proceedings of the ACM International Conference on Human Factors in Computing Systems (CHI'03). 233. Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. Gram-Hanssen, K. 2009. Standby consumption in households analyzed with a practice theory approach. J. Industr. Ecol. 14, 150--165.Google ScholarGoogle ScholarCross RefCross Ref
  38. Hargreaves, T., Nye, M., and Burgess, J. 2010. Making energy visible: A qualitative field study of how householders interact with feedback from smart energy monitors. Energy Policy 38, 6111--6119.Google ScholarGoogle ScholarCross RefCross Ref
  39. Hassenzahl, M. 2006. Hedonic, emotional, and experiential perspectives on product quality. In Encyclopedia of Human Computer Interaction, C. Ghaoui, Ed., Idea Group, 266--272.Google ScholarGoogle Scholar
  40. Hassenzahl, M. 2007. The hedonic/pragmatic model of user experience. In Proceedings of Towards a UX Manifesto COST294MAUSE Affiliated Workshop. E. L.-C. Law, A. P. O. S. Vermeeren, M. Hassenzahl, and M. Blythe, Eds., 10--14.Google ScholarGoogle Scholar
  41. Hassenzahl, M., Burmester, M., and Koller, F. 2003. AttrakDiff: Ein fragebogen zur messung wahrgenommener hedonischer und pragmatischer qualität. Comput. 187--196.Google ScholarGoogle Scholar
  42. He, H. A., Greenburg, S., and Huang, E. M. 2010. One size does not fit all: Applying the transtheoretical model to energy feedback technology design. http://dspace.ucalgary.ca/bitstream/1880/47425/1/2009-943-22.pdf. Google ScholarGoogle ScholarDigital LibraryDigital Library
  43. Ihde, D. 1978. Technics and Praxis: A Philosophy of Technology. Kluwer.Google ScholarGoogle Scholar
  44. Ihde, D. 1986. Experimental Phenomenology: An Introduction. State University of New York Press.Google ScholarGoogle Scholar
  45. Jacucci, G., Spagnolli, A., Gamberini, L., Bjorksog, C. O. M. B., and Monti, P. 2009. Designing effective feedback of electricity consumption for mobile user interfaces. PsychNology J. 7, 265--289.Google ScholarGoogle Scholar
  46. Karjalainen, S. 2011. Consumer preferences for feedback on household electricity consumption. Energy Build. 43, 458--467.Google ScholarGoogle ScholarCross RefCross Ref
  47. Kempton, W. and Layne, L. L. 1994. The consumer's energy analysis environment∗ 1. Energy Policy 22, 857--866.Google ScholarGoogle ScholarCross RefCross Ref
  48. Kempton, W. and Montgomery, L. 1982. Folk quantification of energy. Energy 7, 817--827.Google ScholarGoogle ScholarCross RefCross Ref
  49. Mankoff, J., Matthews, D., Fussell, S. R., and Johnson, M. 2007. Leveraging social networks to motivate individuals to reduce their ecological footprints. In Proceedings of the 40th Annual Hawaii International Conference on System Sciences (HICSS'07). Google ScholarGoogle ScholarDigital LibraryDigital Library
  50. Maze, R. and Redstrom, J. 2008. Switch! Energy ecologies in everyday life. Int. J. Des. 2, 55--70.Google ScholarGoogle Scholar
  51. Oevermann, U. 1993. Die objektive hermeneutik als unverzichtbare methodologische grundlage für die analyse von subjektivität. In ‘Wirklichkeit’ im Deutungsprozess. Verstehen und Methoden in den Kultur- und Sozialwissenschaften, T. Jung and S. Muller-Doohm, Eds., 106--189.Google ScholarGoogle Scholar
  52. Overgaard, S. and Zahavi, D. 2009. Phenomenological sociology - The subjectivity of everyday life. Sociol. The J. Brit. Sociol. Assoc., 1--23.Google ScholarGoogle Scholar
  53. Paetz, A.-G., Dutschke, E., and Fichtner, W. 2011. Smart homes as a means to sustainable energy consumption: A study of consumer perceptions. J. Consumer Policy 35, 1--19.Google ScholarGoogle Scholar
  54. Pierce, J. and Paulos, E. 2010. Designing for emotional attachment to energy. In Proceedings of the Design and Emotion Conference. 1--5.Google ScholarGoogle Scholar
  55. Pierce, J. and Paulos, E. 2011. A phenomenology of human-electricity relations. In Proceedings of the Annual International ACM Conference on Human Factors in Computing Systems (CHI'11). ACM Press, New York, 2405--2408. Google ScholarGoogle ScholarDigital LibraryDigital Library
  56. Pierce, J., Schiano, D. J., and Paulos, E. 2010. Home, habits, and energy: Examining domestic interactions and energy consumption. In Proceedings of the International ACM Conference on Human Factors in Computing Systems (CHI'10). 1985--1994. Google ScholarGoogle ScholarDigital LibraryDigital Library
  57. Pilz, D. 2007. Krisengeschöpfe. Zur Theorie und Methodologie der Objektiven Hermeneutik. Verl.Google ScholarGoogle Scholar
  58. Roberts, S., Humphries, H., and Hyldon, V. 2004. Consumer preferences for improving energy consumption feedback. Res. rep., OFGEM Centre for Sustainable Energy.Google ScholarGoogle Scholar
  59. Sellen, A. J., Fogg, A., Aitken, M., Hodges, S., Rother, C., and Wood, K. 2007. Do life-logging technologies support memory for the past? An experimental study using sensecam. In Proceedings of the ACM International Conference on Human Factors in Computing Systems (CHI'07). Google ScholarGoogle ScholarDigital LibraryDigital Library
  60. Shove, E. 2003. Comfort, Cleanliness and Convenience: The Social Organization of Normality. Berg.Google ScholarGoogle Scholar
  61. Sokolowski, R. 2000. Introduction to Phenomenology. Cambridge University Press.Google ScholarGoogle Scholar
  62. Stapel, D. and Suls, J. 2004. Method matters: Effects of explicit versus implicit social comparisons on activation, behavior, and self-views. J. Personality Social Psychol. 86, 860--875.Google ScholarGoogle ScholarCross RefCross Ref
  63. Statistisches Bundesamt. 2011. Einkommen, Konsum, Lebensbedingungen - Private Haushalte in der Informationsgesellschaft (IKT). Statistisches Bundesamt, 182.Google ScholarGoogle Scholar
  64. Stern, P. C. 1992. What psychology knows about energy conservation. Amer. Psychol. 47, 8.Google ScholarGoogle ScholarCross RefCross Ref
  65. Strauss, A. L. and Corbin, J. M. 1990. Basics of Qualitative Research. Sage Publications.Google ScholarGoogle Scholar
  66. Strengers, Y. A. A. 2011. Designing eco-feedback systems for everyday life. In Proceedings of the Annual Conference on Human Factors in Computing Systems (CHI'11). ACM Press, New York, 2135--2144. Google ScholarGoogle ScholarDigital LibraryDigital Library
  67. Suchman, L. 2006. Human-Machine Reconfigurations: Plans and Situated Actions (Learning in Doing, Social, Cognitive and Computational Perspectives). Cambridge University Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  68. Titscher, S., Meyer, M., Wodak, R., and Vetter, E. 2000. Methods of Text and Discourse Analysis. Sage Publications.Google ScholarGoogle Scholar
  69. van Dam, S. S., Bakker, C. A., and van Hal, J. D. 2010. Home energy monitors: Impact over the medium-term. Build. Res. Inf. 38, 458--469.Google ScholarGoogle ScholarCross RefCross Ref
  70. Wilhite, H., Shove, E., Luzenhiser, L., and Kempton, W. 2000. Twenty years of energy demand management: We know more about individual behavior but how much do we really know about demand. In Proceedings from the ACEEE Summer Study on Energy Efficiency in Buildings. 435--453.Google ScholarGoogle Scholar
  71. Winch, P. 1958. The Idea of Social Science and its Relation to Philosophy. Routledge and Kegan Paul.Google ScholarGoogle Scholar
  72. Woodruff, A., Hasbrouck, J., and Augustin, S. A. 2008. Bright green perspective on sustainable choices. In Proceedings of the ACM International Conference on Human Factors in Computing Systems (CHI'08). 313--322. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Uncovering practices of making energy consumption accountable: A phenomenological inquiry

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in

    Full Access

    • Published in

      cover image ACM Transactions on Computer-Human Interaction
      ACM Transactions on Computer-Human Interaction  Volume 20, Issue 2
      May 2013
      111 pages
      ISSN:1073-0516
      EISSN:1557-7325
      DOI:10.1145/2463579
      Issue’s Table of Contents

      Copyright © 2013 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 27 May 2013
      • Accepted: 1 February 2013
      • Revised: 1 January 2013
      • Received: 1 April 2012
      Published in tochi Volume 20, Issue 2

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article
      • Research
      • Refereed

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader