User-Centered Systems Design: A Brief History

  • Frank E. Ritter
  • Gordon D. Baxter
  • Elizabeth F. Churchill
Chapter

Abstract

The intention of this book is to help you think about design from a user-centered perspective. Our aim is to help you understand what questions to ask when designing a technology or a system or when you are evaluating a design that already exists. We focus on physiological, cognitive, and social aspects of the human user, aspects that will affect how someone will use what you design. This chapter introduces some historical background to the field of User Centered System Design, and introduces current themes.

Keywords

Fatigue Transportation Encapsulation Dial Ethos 

References

  1. Anderson, J. R. (1993). Rules of the mind. Hillsdale, NJ: Erlbaum.Google Scholar
  2. Anderson, J. R. (2007). How can the human mind exist in the physical universe?. New York, NY: Oxford University Press.CrossRefGoogle Scholar
  3. Anderson, J. R., Bothell, D., Byrne, M. D., Douglass, S., Lebiere, C., & Qin, Y. (2004). An integrated theory of the mind. Psychological Review, 111(4), 1036–1060.CrossRefGoogle Scholar
  4. Avgerou, C., Ciborra, C., & Land, F. (2004). The social study of information and communication technology. Oxford, UK: Oxford University Press.Google Scholar
  5. Bannon, L. (1991). From human factors to human actors: The role of psychology and human–computer interaction studies in systems design. In J. Greenbaum & M. Kyng (Eds.), Design at work: Cooperative design of computer systems (Vol. 25–44). Hillsdale, NJ: Erlbaum.Google Scholar
  6. Barker, V. E., & O’Connor, D. E. (1989). Expert systems for configuration at Digital: XCON and beyond. Communications of the ACM, 32(3), 298–318.CrossRefGoogle Scholar
  7. Baxter, G., & Sommerville, I. (2011). Socio-technical systems: From design methods to engineering. Interacting with Computers, 23(1), 4–17.CrossRefGoogle Scholar
  8. Berg, M. (1999). Patient care information systems and healthcare work: A sociotechnical approach. International Journal of Medical Informatics, 55(2), 87–101.CrossRefGoogle Scholar
  9. Berg, M. (2001). Implementing information systems in health care organizations: Myths and challenges. International Journal of Medical Informatics, 64(2–3), 143–156.CrossRefGoogle Scholar
  10. Berg, M., & Toussaint, P. (2003). The mantra of modelling and the forgotten powers of paper: A sociotechnical view on the development of process-oriented ICT in health care. International Journal of Medical Informatics, 69(2–3), 223–234.CrossRefGoogle Scholar
  11. Bødker, S. (2006). When second wave HCI meets third wave challenges. In A. Mørch, K. Morgan, T. Bratteteig, G. Ghosh, & D. Svanaes (Ed.), NordiCHI Nordic Conference on Human-Computer Interaction October 1418, (pp. 1–8). Oslo, Norway.Google Scholar
  12. Booth, P. (1989). An introduction to human-computer interaction. Hove, UK: Erlbaum.Google Scholar
  13. Brown, C. M. L. (1988). Human-computer interface design guidelines. Norwood, NJ: Ablex.Google Scholar
  14. Busemeyer, J. R., & Dieterich, A. (2010). Cognitive modeling. Thousand Oaks, CA: Sage Publications.Google Scholar
  15. Card, S. K., Moran, T., & Newell, A. (1983). The psychology of human-computer interaction. Hillsdale, NJ: Erlbaum.Google Scholar
  16. Cherns, A. (1987). Principles of socio-technical design revisited. Human Relations, 40(3), 153–162.CrossRefGoogle Scholar
  17. Churchill, E., Bowser, A., & Preece, J. (2013). Teaching and learning human-computer interaction: Past, present, and future. Interactions, 20(2), 44–53.CrossRefGoogle Scholar
  18. Clegg, C. (2000). Sociotechnical principles for system design. Applied Ergonomics, 31, 463–477.CrossRefGoogle Scholar
  19. Eason, K. (1984). Towards the experimental study of usability. Behaviour and Information Technology, 3(2), 133–143.CrossRefGoogle Scholar
  20. Emery, F. E., & Trist, E. L. (1960). Socio-technical systems. In C. W. Churchman & M. Verhulst (Eds.), Management science models and techniques (Vol. 2, pp. 83–97). Oxford, UK: Pergamon.Google Scholar
  21. Haynes, S. R., Cohen, M. A., & Ritter, F. E. (2009). Designs for explaining intelligent agents. International Journal of Human-Computer Studies, 67(1), 99–110.CrossRefGoogle Scholar
  22. Hedge, A. (2003). 10 principles to avoid XP-asperation. Ergonomics in Design, 11(3), 4–9.CrossRefGoogle Scholar
  23. Hewett, T. T., Baecker, R., Card, S., Carey, T., Gasen, J., Mantei, M., et al. (1996). ACM SIGCHI curricula for human-computer interaction. New York, NY: Association for Computing Machinery. http://sigchi.org/cdg/index.html
  24. Hollnagel, E., & Woods, D. D. (1983). Cognitive systems engineering: New wine in new bottles. International Journal of Man-Machine Studies, 18, 583–600.CrossRefGoogle Scholar
  25. Hollnagel, E., & Woods, D. D. (2005). Joint cognitive systems: Foundations of cognitive systems engineering. Boca Raton, FL: CRC Press.CrossRefGoogle Scholar
  26. Holloway, W. (1991). Work psychology and organizational behaviour: Managing the individual at work Thousand Oaks. CA: Sage.CrossRefGoogle Scholar
  27. Laird, J. E. (2012). The Soar cognitive architecture. Cambridge, MA: MIT Press.Google Scholar
  28. Mosier, J. N., & Smith, S. L. (1986). Application of guidelines for designing user interface software. Behaviour and Information Technology, 5, 39–46.CrossRefGoogle Scholar
  29. Mumford, E. (1983). Designing human systems for new technology—The ETHICS method. Retrieved March 10, 2014, from http://www.enid.u-net.com/C1book1.htm
  30. Mumford, E. (1995). Effective systems design and requirements analysis: The ETHICS method. Basingstoke, UK: Macmillan Press.Google Scholar
  31. Mumford, E. (2006). The story of socio-technical design: reflections in its successes, failures and potential. Information Systems Journal, 16, 317–342.CrossRefGoogle Scholar
  32. Mumford, E., & MacDonald, W. B. (1989). XSEL’s progress: The continuing journey of an expert system. New York, NY: Wiley.Google Scholar
  33. Newell, A. (1990). Unified theories of cognition. Cambridge, MA: Harvard University Press.Google Scholar
  34. Newell, A., Shaw, J. C., & Simon, H. A. (1960). Report on a general problem-solving program for a computer. In International Conference on Information Processing, (pp. 256–264). UNESCO: Paris.Google Scholar
  35. Newell, A., & Simon, H. A. (1972). Human problem solving. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
  36. Nickerson, R. (1969). Man-Computer interaction: A challenge for human factors research. Ergonomics, 12: 501–517. (Reprinted from IEEE Transactions on Man-Machine Systems, 10(4), 164–180).Google Scholar
  37. Norman, D. A., & Draper, S. W. (Eds.). (1986). User centred system design. Hillsdale, NJ: Erlbaum.Google Scholar
  38. Norman, D. A. (1988). The psychology of everyday things. New York, NY: Basic Books.Google Scholar
  39. Norman, D. A. (2013). The design of everyday things. New York, NY: Basic Books.Google Scholar
  40. Pew, R. W., & Mavor, A. S. (Eds.). (2007). Human-system integration in the system development process: A new look. Washington, DC: National Academies Press. http://books.nap.edu/catalog.php?record_id=11893. Accessed 10 March 2014.
  41. Ravden, S., & Johnson, G. (1989). Evaluating usability of human-computer interfaces: A practical method. Chichester, UK: Ellis Horwood.Google Scholar
  42. Reason, J. (1997). Managing the risks of organizational accidents. Aldershot, UK: Ashgate.Google Scholar
  43. Shackel, B. (1991). Human factors for informatics usability book contents. In B. Shackel & S. J. Richardson (Eds.), Usability—context, framework, definition, design and evaluation (pp. 21–37). New York, NY: Cambridge University Press.Google Scholar
  44. Swain, A. D., & Guttman, H. E. (1983). A handbook of human reliability analysis with emphasis on nuclear power applications. Washington, DC: US Nuclear Regulatory Commission.Google Scholar
  45. Whetton, S. (2005). Health informatics: A socio-technical perspective. South Melbourne, Australia: Oxford University Press.Google Scholar
  46. Woods, D. D., & Hollnagel, E. (2006). Joint cognitive systems: Patterns in cognitive systems engineering. Boca Raton, FL: CRC Press.CrossRefGoogle Scholar
  47. Young, R. M., Green, T. R. G., & Simon, T. (1989). Programmable user models for predictive evaluation of interface designs. In Proceedings of CHI’89 Conference on Human Factors in Computing Systems, (pp. 15–19). ACM Press: New York, NY.Google Scholar

Copyright information

© Springer-Verlag London 2014

Authors and Affiliations

  • Frank E. Ritter
    • 1
  • Gordon D. Baxter
    • 2
  • Elizabeth F. Churchill
    • 3
  1. 1.College of ISTThe Pennsylvania State UniversityUniversity ParkUSA
  2. 2.School of Computer ScienceUniversity of St AndrewsSt AndrewsUK
  3. 3.eBay Research LabsSan JoseUSA

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