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The fuzzy felt ethnography—understanding the programming patterns of domestic appliances

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Abstract

In this paper, we discuss domestic appliance use based on an ethnographic study of nine households. Specifically, we look at which domestic appliances users choose to “program”, and break them into two categories for analysis; those that allow users to program actions for the future and those that allow for macro creation to make repeated tasks easier. We also look at domestic programming habits based on gender.

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Notes

  1. Two of the authors have previously worked in the consumer electronic industry where this demographic is found to be typical for the “early adopter” market.

  2. At no point was the word “programming” used in the experimenter’s script.

  3. Some appliances were identified by participants as having both “repeats easy” and “ahead of time” functions. When a participant wanted to discuss an appliance with “ahead of time” functions that had already been placed on the “repeats easy” section, they simply moved the icon from one section of the board to the other, after the board had been photographed with their selected “repeats easy” icons.

  4. We describe our data in terms of households, appliance types and individual participants. Because of the fairly small number of individuals and households involved in the study, we have simply aimed to describe our findings, rather than to treat our sample as representative of any larger population. Thus, we do not assume that, for instance, the behavior of men and women in our sample necessarily generalize to any particular larger population of households. Therefore, we have not performed any statistical tests. We have given means and ranges where these are an effective way of summarizing our data, but we do not assume that our data is normally distributed.

  5. Although we recorded all the electrical and electronic appliances that our participants mentioned, we have excluded some appliances from our count of number of appliances per household. Appliances, which might be considered as part of the fixtures and fittings of the house, were not always mentioned, and so, were not always recorded consistently. For this reason, our count excluded power showers, extractor fans and heating systems. We also omitted power tools, garden tools and car appliances, because not all participants were comfortable with showing us the garage, and not being in the same room introduced variability in recalling appliances. However, where participants revealed useful information about programming these appliances, we have included that data in the discussion below. We counted fridge/freezers, washer/dryers, TVs with integrated VCRs, PCs with peripherals including printers and multi-part stereos each as one item. We included appliances that were unique to only one household but also reported these idiosyncratic appliances separately.

  6. Although we did not include hot-water heaters or heating controls in our count of numbers of appliances per household because of their anomalous status as fixtures and fittings, we were still interested in their programmable features. Again, although we excluded car appliances from our appliance count because of variability in how they were recorded, where participants discussed programmable features, for instance of car radios, their responses were of interest. We have, therefore, included these items in some of our graphs and discussion.

  7. These two households were the ones with the largest numbers of appliances reported overall (household #6 reported 55 appliances and household #7 reported 50). It appears that the discrepancy between the numbers of programmable appliances reported by these two men and their partners was at least partly due to the fact that the men in both households each reported a larger number of appliances than their partners in total. In household #6, the male participant reported three stereos, which the female participant did not report, and also mentioned the separate tumble dryer, while the female participant only reported the washing machine. In household #7, the male participant mentioned a video camera, a DVD player, an extra fridge–freezer and two mobile phones, which his partner failed to report. These differences do not cover the whole of the discrepancy between the numbers of potentially programmable appliances reported by the male and female partners in these two households. We did have the impression that these two men were particularly enthusiastic about technology, while their partners were less so. It seems likely that these men both reported more appliances and remembered more programmable features of the appliances they reported than their partners because of their greater interest in technology.

References

  1. Antonides G, van Raaij WF (1998) Consumer behaviour: a European perspective. Wiley, Chichester

    Google Scholar 

  2. Blackwell AF (2002) First steps in programming: a rationale for attention investment models. In: Proceedings of the IEEE symposia on human-centric computing languages and environments (HCC’02), Arlington, Virginia, September 2002, pp 2–10

  3. Blackwell AF, Hague R (2001) AutoHAN: an architecture for programming the home. In: Proceedings of the IEEE symposia on human-centric computing languages and environments (HCC’01), Stresa, Italy, September 2001, pp 150–157

  4. Brumitt B, Meyers B, Krumm J, Kern A, Shafer S (2000) EasyLiving: technologies for intelligent environments. In: Proceedings of the 2nd international symposium on handheld and ubiquitous computing (huc2k), Bristol, UK, September 2000, pp 12–27

  5. Camp T (1997) The incredible shrinking pipeline. Commun ACM 40(10):103–110

    Article  Google Scholar 

  6. Cockburn C (1992) The circuit of technology: gender, identity and power. In: Information and communication technologies in the home. Routledge, New York

    Google Scholar 

  7. Gaver B, Dunne T, Pacenti E (1999) Cultural probes. Interactions 1:21–29

    Article  MATH  Google Scholar 

  8. Gray WD, Sabnani H (1994) Why you can’t program your VCR, or, predicting errors and performance with production system models of display based actions. In Proceedings of the CHI’94 conference on human factors in computing systems, pp 79–80

    Google Scholar 

  9. Hamill L (2001) Orange-At-Home project, http://www.surrey.ac.uk/dwrc/orange.html

  10. Intille SS, Larson K (2003) Designing and evaluating supportive technology for homes. In: Proceedings of the IEEE/ASME international conference on advanced intelligent mechatronics (AIM 2003), Kobe, Japan, July 2003

  11. Jowell R, Brook L, Prior G, Taylor B (eds) (1992) British social attitudes: the 9th report. Dartmouth Publishing, Aldershot

    Google Scholar 

  12. Kidd CD, Orr R, Abowd GD, Atkeson CG, Essa IA, MacIntyre B, Mynatt E, Starner TE, Newstetter W (1999) The aware home: a living laboratory for ubiquitous computing research. In: Proceedings of the 2nd international workshop on cooperative buildings (CoBuild’99), Pittsburg, Pennsylvania, October 1999

  13. Koskela T, Väänänen-Vainio-Mattila K (2004) Evolution towards smart home environments: empirical evaluation of three user interfaces. In: Proceedings of the 2nd international conference on appliance design (2AD), Bristol, UK, May 2003, pp85–91

  14. Kraut R, Scherlis W, Mukhopadhyay T, Manning J, Kiesler S (1996) The HomeNet field trial of residential internet services. Commun ACM 39:55–65

    Article  Google Scholar 

  15. Livingstone S (1992) The meaning of domestic technologies: a personal construct analysis of familial gender relations. In: Information and communication technologies in the home. Routledge, New York

    Google Scholar 

  16. Logan RL, Augaitis S, Miller RH, Wehmer K (1995) Living room culture—an anthropological study of television usage behaviors. In: Proceedings of the human factors and ergonomics society 39th annual meeting, San Diego, California, October 1995, pp 326–330

  17. Mateas M, Salvador T, Scholtz J, Sorensen D (1996) Engineering ethnography in the home. In: Proceedings of the CHI’96 conference on human factors in computing systems, Vancouver, Canada, April 1996, pp 283–284

    Google Scholar 

  18. Nielsen J, Curtis B (1995) Applying discount usability engineering. IEEE Software 12:98–100

    Article  MATH  Google Scholar 

  19. O’Brien J, Rodden T, Rouncefield M, Hughes J (1999) At home with technology: an ethnographic study of a set-top box trial. ACM Transact HCI 6(3):282–308

    Google Scholar 

  20. Peyton Jones S, Blackwell A, Burnett M (2003) A user-centred approach to functions in Excel. In: Proceedings of the 8th ACM SIGPLAN international conference on functional programming (ICFP2003), Uppsala, Sweden, August 2003, pp 165–176

  21. Plaisant C, Allison Druin, Hilary Hutchinson (2002) Technologies for families. In: Proceedings of the CHI2002 conference on human factors in computing systems, Minneapolis, Minnesota, April 2002, pp 938–939

  22. Thimbleby H (1993) Frustrations of a pushbutton world. In: Encyclopaedia Britannica yearbook of science and the future, pp 202–219

  23. Webley P, Burgoyne C, Lea S, Young B(2001) Economic behavior in the family. In: The economic psychology of everyday life, pp 75–98

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Acknowledgements

We would like to thank Rachel Hewson for her feedback on the early stages of the felt board, Mark Stringer for his help in running sessions and Tim Harris and Jonathan Hardwick for providing feedback on the earlier drafts of this paper. We are especially indebted to Matthew Chalmers, as discussions with him helped to crystallize our recommendations for future appliance designs. We would also like to acknowledge our funding body, the Engineering and Physical Sciences Research Council GR/R87482 “Cognitive Ergonomics for Ubiquitous Computing.”

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Correspondence to Jennifer A. Rode.

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Rode, J.A., Toye, E.F. & Blackwell, A.F. The fuzzy felt ethnography—understanding the programming patterns of domestic appliances. Pers Ubiquit Comput 8, 161–176 (2004). https://doi.org/10.1007/s00779-004-0272-0

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