Personal and Ubiquitous Computing

, Volume 9, Issue 4, pp 250–259 | Cite as

A behavioural model of temperature controller usage and energy saving

  • Raino Vastamäki
  • Irmeli Sinkkonen
  • Cecilia Leinonen
Original Article

Abstract

Temperature controllers are typical devices in most office-buildings, but the intended users very seldom use them. It has been a constant observation during our research that all common temperature controllers to date are quite impossible to use and understand correctly. With the proper use of temperature controllers comfort could be improved and a lot of energy could be saved. This paper presents a model of first use of an OOBE device, in which the actor’s beliefs are included. A list of conditions for energy saving actions, a design decision matrix and a model of action circle is presented in this article. The model indicates that the user’s action can be extinguished at various points during the action circle. However, sufficient and understandable initial feedback on the device’s interface is the key to correct novel use.

Keywords

Usability Initial feedback Concluding feedback Energy-saving Learnability Intuitiveness Guessability Learning 

References

  1. 1.
    Ajzen I (1985) From intentions to actions: a theory of planned behaviour. In: Kuhl J, Beckmann J (eds) Action-control: from cognition to behaviour. Springer, Berlin Heidelberg New YorkGoogle Scholar
  2. 2.
    Ajzen I (1988) Attitudes, personality and behavior. Dorsey Press, ChicagoGoogle Scholar
  3. 3.
    Anderson JR (1990) The adaptive character of thought. Erlbaum, HillsdaleGoogle Scholar
  4. 4.
    Anderson JR (2000) Learning and memory. An integrated approach, 2nd edn. Wiley, New YorkGoogle Scholar
  5. 5.
    Austin JL (1970) A plea for excuses. In: Urmson JO, Warnock GJ (eds) Philosophical papers. Oxford University Press, LondonGoogle Scholar
  6. 6.
    Child D (1997) Psychology and the teacher, 6th edn. Cassel, LondonGoogle Scholar
  7. 7.
    Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q 13(3):319–340Google Scholar
  8. 8.
    Festinger L (1957) A theory of cognitive dissonance. Row Peterson and Co, EvanstonGoogle Scholar
  9. 9.
    Gick ML, Holyoak KJ (1985) Analogical problem solving. In: Aitkenhead AM, Slack JM (eds) Issues in cognitive modeling. Lawrence Erlbaum Associates, HoveGoogle Scholar
  10. 10.
    Haakma (1999) Towards explaining the behaviour of novice users. Int J Hum Comput Stud 50:557–570CrossRefGoogle Scholar
  11. 11.
    Heider F (1958) The psychology of interpersonal relations. Wiley, New YorkGoogle Scholar
  12. 12.
    Jarvis P (1995) Adult and continuing education, theory and practice, 2nd edn. Routledge, LondonGoogle Scholar
  13. 13.
    Kahneman K, Tversky A (1972) Subjective probability: a judgment of representativeness. Cognit Psychol 3:430–454CrossRefGoogle Scholar
  14. 14.
    Kahneman K, Tversky A (2000) Prospect theory: an analysis of decision under risk. In: Kahneman K, Tversky A (eds) Choices, values and frames. Russell Sage, New York, pp 17–42Google Scholar
  15. 15.
    Kelley HH (1967) Attribution in social psychology. In: Nebraska symposium on motivation, vol 15, pp 192–238Google Scholar
  16. 16.
    Kempton W, Harris CK, Keith JG, Weihl JS (1984) Do consumers know what works in energy conservation? In: Harris J, Blumstein C (eds) What works: documenting energy conservation in buildings. American Council for an Energy-Efficient Economy, Washington, pp 429–438Google Scholar
  17. 17.
    Kempton W, Darley JM, Stern PC (1992) Psychological research for the new energy problems—strategies and opportunities. Am Psychol 47(10):1213–1223CrossRefGoogle Scholar
  18. 18.
    Lansdale MW, Ormerod TC (1994) Understanding interfaces. A handbook of human—computer dialogue. Academic Press, LondonGoogle Scholar
  19. 19.
    McClelland L, Canter RJ (1981) Psychological research on energy conservation: context, approaches, methods. In: Baum A, Singer JE (eds) Advances in environmental psychology, vol 3. Energy, psychological perspectives. Pawrence Erlbaum Associates, Hillsdale, pp 1–25Google Scholar
  20. 20.
    Norman DA (1988) The psychology of everyday things. Basic Books, New YorkGoogle Scholar
  21. 21.
    Nuernberger P (1994) The structure of mind and its resources. In: Miller ME, Cook-Greuter SR (eds) Transcendence and mature adult thought in adulthood: the further reaches adult development. Rowman and Littlefield, LondonGoogle Scholar
  22. 22.
    Reason J (1990) Human error. Cambridge University Press, CambridgeGoogle Scholar
  23. 23.
    Rieman J (1990) Account episodes: the management or escalation of conflict. Cambridge University Press, CambridgeGoogle Scholar
  24. 24.
    Rieman J (1996) A field study of exploratory learning strategies. ACM Transactions on Computer-Human Interaction 3(3):189–218CrossRefGoogle Scholar
  25. 25.
    Sinkkonen I (2001) Designing for humans: the first use of a product. In: Panzar E, Savolainen R, Tynjälä P (eds) Search for a human-centred information society. University Press, TampereGoogle Scholar
  26. 26.
    Ware C (2000) Information visualization. Morgan Kaufmann Publishers, San FranciscoGoogle Scholar
  27. 27.
    Weber L (1999) Beyond energy conservation: energy-relevant decisions within office buildings. In: Energy efficiency and CO2 reduction: the dimensions of the social challenge. Proceedings of the 1999 ECEEE summer study, part 2Google Scholar
  28. 28.
    von Wright GH (1983) Practical reason. Basil Blackwell, OxfordGoogle Scholar

Copyright information

© Springer-Verlag London Limited 2005

Authors and Affiliations

  • Raino Vastamäki
    • 1
  • Irmeli Sinkkonen
    • 1
  • Cecilia Leinonen
    • 1
  1. 1.Helsinki University of TechnologyFinland

Personalised recommendations