Skip to main content

Experience Research: a Methodology for Developing Human-centered Interfaces

  • Chapter
Handbook of Ambient Intelligence and Smart Environments

Abstract

At the turn of the century, a distinguished group of researchers identified the potential devastating effects of rapid technological developments, as described by the generalized Moore’s law, for the balanced relationship between humans and technology (Aarts et al., 2001). Whilst not ignoring the threads and risks of so called technology push, the Ambient Intelligence Ambient Intelligence (AmI) vision was introduced to emphasize the positive contribution these technologies could bring to our daily lives. Within the AmI vision human needs are positioned centrally and technology is seen as a means to enrich our life. In course terms Ambient Intelligence refers to the embedding of technologies into electronic environments that are sensitive and responsive to the presence of people.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Aarts, E.H.L., Harwig, R., & Schuurmans, M. (2001), Ambient Intelligence, in: P. Denning, The Invisible Future, McGraw Hill, New York, 235—250.

    Google Scholar 

  2. Adler, M.G,. & Fagley, N.S. (2005). Individual differences in finding value and meaning as a unique predictor of subjective well-being. Journal of Personality, 73, 79-112.

    Article  Google Scholar 

  3. Aiello, A. Jr, Czepiel, J.A. & Rosenberg, L.A. (1977). Scaling the heights of consumer satisfaction: An evaluation of alternate measures, In: Consumer Satisfaction, Dissatisfaction and Complaining Behavior, Ralph L. Day, ed. Bloomington, Indiana: School of Business, Indiana University.

    Google Scholar 

  4. Bauwmeister, R.F. & Leary, M.R. (1995). The need to Belong: Desire for Interpersonal Attachments as a Fundamental Human Motivation, Psychological Bulletin, Vol. 117, 497-529.

    Article  Google Scholar 

  5. Beyer, H. & Holzblatt, K. (1998). Contextual Design, Academic Press.

    Google Scholar 

  6. Breazeal (Ferrell), C. and Scassellati, B. (2000), Infant-like Social Interactions Between a Robot and a Human Caretaker. In K. Dautenhahn. Special issue of Adaptive Behavior on Simulation Models of Social Agents.

    Google Scholar 

  7. Caldwell, M.A. & Peplau, L.A. (1982). Sex differences in same-sex friendships, Sex Roles, 8, 721-732.

    Article  Google Scholar 

  8. Churchill, G.A. Jr & Surprenant, C. (1982). An investigation into the determinants of customer satisfaction, Journal of Marketing Research, 19, 491-504.

    Article  Google Scholar 

  9. De Ruyter B. (2003). User Centred Design, In (Eds.): Aarts, Emile, and Stefano Marzano, The New Everyday: Vision on Ambient Intelligence, 010 Publishers, Rotterdam, The Netherlands.

    Google Scholar 

  10. De Ruyter, B. & Leegwater, E. (2009). Supporting social networks of elderly users, in preparation.

    Google Scholar 

  11. De Ruyter, B. & Pelgrim, E. (2007). Ambient Assisted Living research in CareLab, ACM Interactions, Volume 14, Issue 4, July + August 2007.

    Google Scholar 

  12. De Ruyter, B., Saini, P., Markopoulos, P. & van Breemen, A. (2005). Assessing the effects of building social intelligence in a robotic interface for the home, Interacting with computers, 522 - 541, Elsevier.

    Google Scholar 

  13. De Ruyter, B., van Loenen E. & Teeven, V. (2007). User Centered Research in ExperienceLab, European Conference, AmI 2007, Darmstadt, Germany, November 7-10, 2007. LNCS Volume 4794/2007, Springer.

    Google Scholar 

  14. De Ruyter, B., Van Geel, R., Markopoulos, P. & Kramer, E. (2009). Measuring the Halo effect of Experience and Application Research Centers, in preparation.

    Google Scholar 

  15. Dix, A., Finlay, J.E., Abowd, G.D. & Beale, R. (2004). Human-computer Interaction, Pearson Education.

    Google Scholar 

  16. Donovan, R.J., Rossiter, J.R. (1982). Store atmosphere: An experimental psychology approach, Journal of Retailing, 58, 34-57.

    Google Scholar 

  17. Ford, M.E., & Tisak, M.S. (1983). A further search for social intelligence. Journal of Educational Psychology, 75, 196 – 206.

    Article  Google Scholar 

  18. Foxall, G.R. (1997). The emotional texture of consumer environments: A systematic approach to atmospherics, Journal of Economic Psychology, 18, 505-523.

    Article  Google Scholar 

  19. Gerstel, N. & Gross, H. (1982). Commuter marriages: A review, Marriage and Family Review, 5, 71-93.

    Article  Google Scholar 

  20. Green, W. & de Ruyter, B. (2008). The design and evaluation of interactive systems with perceived social characteristics: six challenges, The 7th International Workshop on Social Intelligence Design: Designing socially aware interactions, 3–5 December 2008, Puerto Rico.

    Google Scholar 

  21. Hart, S.G. & Staveland, L.E. (1988). Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research, In P.A. Hancock & N. Meshkati (Eds.), Human Mental Workload, 239-250. Amsterdam: North-Holland Press.

    Google Scholar 

  22. Hogan, R. (1969). Development of an empathy scale, Journal of Consulting and Clinical Psychology, 33, 307-316.

    Article  Google Scholar 

  23. Iqbal, R., Gatward, R. & James, A. (2005). EthnoModel: An Approach for Developing and Evaluating CSCW Systems, Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2005. IDAACS 2005. IEEE, 633 - 638.

    Google Scholar 

  24. ISTAG (2001), Scenarios for Ambient Intelligence, European Commission, http://www.cordis.lu/ist/istag.html

  25. Kaikkonen, A., Kekäläinen, A., Cankar, M., Kallio, T. & Kankainen, A. (2005). Usability Testing of Mobile Applications: A Comparison between Laboratory and Field Testing, Journal of Usability Studies, Issue 1, Volume 1, November 2005, 4-17.

    Google Scholar 

  26. Kang, Y.S., & Ridgway, N.M. (1996). The importance of consumer market interactions as a form of social support for elderly consumers, Journal of Public Policy and Marketing, 15, 108-118.

    Google Scholar 

  27. Keating, D.P. (1978). A search for social intelligence, Journal of Educational Psychology, 70, 218–223.

    Article  Google Scholar 

  28. Kirakowski, J. & Corbett, M. (1993). SUMI: The Software Usability Measurement Inventory, British Journal of Educational Technology, 24(3), 210.

    Article  Google Scholar 

  29. Kotler, P., 1974. Atmospherics as a marketing tool. Journal of Retailing, 49, 48-64.

    Google Scholar 

  30. Linda, G. & Oliver, R.L. (1979). Multiple brand analysis of expectation and disconfirmation effects on satisfaction, Paper presented at the 87th Annual Convention of the American Psychological Association.

    Google Scholar 

  31. Mehrabian, A. & Russell, J.A. (1974). An approach to environmental psychology, MIT Press, Cambridge, MA.

    Google Scholar 

  32. Mayer, J.D. & Gaschke, Y.N. (1988). The experience and meta-experience of Mood. Journal of Personality and Social Psychology, 55(1), 102-111.

    Article  Google Scholar 

  33. McDonald, S., Monahan, K., and Cockton, G. (2006). Modified contextual design as a field evaluation method. In Proceedings of the 4th Nordic Conference on Human-Computer interaction: Changing Roles , Oslo, Norway, October 14 - 18, 2006. A. Mørch, K. Morgan, T. Bratteteig, G. Ghosh, and D. Svanaes, Eds. NordiCHI ’06, vol. 189. ACM, New York, NY, 437-440.

    Chapter  Google Scholar 

  34. Mehrabian, A. & Russell, J.A. (1974). An approach to environmental psychology, MIT Press, Cambridge, MA.

    Google Scholar 

  35. Moss, F.A., & Hunt, T. (1927). Are you socially intelligent?, Scientific American, 137, 108-110.

    Google Scholar 

  36. Murray & Barnes (1998). Beyond the “wow” factor : Evaluating multimedia language learning software from a pedagogical viewpoint, System, 26(2), 249-259

    Article  Google Scholar 

  37. Neustaedter, C., Brush, A. J., and Greenberg, S. (2007). A digital family calendar in the home: lessons from field trials of LINC. In Proceedings of Graphics interface 2007 (Montreal, Canada, May 28 - 30, 2007). GI ’07, vol. 234. ACM, New York, NY, 199-20.

    Chapter  Google Scholar 

  38. Oliver, R.L. (1977). Effect of expectation and disconfirmation on postexposure product evaluations: An alternative interpretation, Journal of Applied Psychology, 62, 480-6.

    Article  Google Scholar 

  39. Rose, A., Shneiderman, B., & Plaisant, C. (1995). An applied ethnographic method for redesigning user interfaces. In Proceedings of the 1st Conference on Designing interactive Systems: Processes, Practices, Methods, & Techniques , Ann Arbor, Michigan, United States, August 23 - 25, 1995). G. M. Olson and S. Schuon, Eds. DIS ’95. ACM, New York, NY, 115-122.

    Google Scholar 

  40. Rubio, S., Díaz, E., Martín, J. & Puente, J.M. (2004). Evaluation of subjective mental workload: A comparison of SWAT, NASA-TLX, and workload profile methods, Applied Psychology: An international review, 53(1), 61-86.

    Article  Google Scholar 

  41. Sleeswijk Visser, F., Stapper, PJ, van der Lucht, R. & Sanders, E. (2005). Contextmapping: experiences from practise, CoDesign, Vol 1., No. 2, June 2005, 119 – 149.

    Article  Google Scholar 

  42. Sternberg, R., Smith, C. (1985), Social intelligence and decoding skills in nonverbal communication, Social Cognition, Vol.2, 168-92.

    Google Scholar 

  43. Swan, J.E. & Trawick, I.F. (1980). Consumer satisfaction with a retail store related to the fulfillment of expectations on an initial shopping trip. In: Consumer Satisfaction, Dissatisfaction and Complaining Behavior, Ralph L. Day, ed. Bloomington, Indiana: School of Business, Indiana University.

    Google Scholar 

  44. Tory, M. and Staub-French, S. (2008). Qualitative analysis of visualization: a building design field study, In Proceedings of the 2008 Conference on Beyond Time and Errors: Novel Evaluation Methods For information Visualization, Florence, Italy, April 05 - 05, 2008.

    Google Scholar 

  45. Taylor, A. S. (2002, 19-23 October). Teenage ‘Phone-talk’ and its Implications for Design, NordiCHI 2002, Bridging the gap between field studies and design workshop, Aarhus, Denmark.

    Google Scholar 

  46. Thorndike, E.L. (1920). Intelligence and its uses, Harper’s Magazine, 140, 227-235.

    Google Scholar 

  47. Vernon, P.E. (1933). Some characteristics of the good judge of personality, Journal of Social Psychology, 4, 42-57.

    Google Scholar 

  48. Weiser, M. (1991). The computer for the 21st century, Scientific American, 265(3):94–104.

    Article  Google Scholar 

  49. Westbrook, R.A. (1980). Intrapersonal affective influences upon consumer satisfaction, Journal of Consumer Research, 7, 49-54.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

de Ruyter, B., Aarts, E. (2010). Experience Research: a Methodology for Developing Human-centered Interfaces. In: Nakashima, H., Aghajan, H., Augusto, J.C. (eds) Handbook of Ambient Intelligence and Smart Environments. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-93808-0_39

Download citation

  • DOI: https://doi.org/10.1007/978-0-387-93808-0_39

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-93807-3

  • Online ISBN: 978-0-387-93808-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics