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Experiencing Early User Interfaces

  • Martha E. Crosby
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9187)

Abstract

The intention of this article is to provide a slightly different perspective for the Women in Design, User Experience, and Usability discussion. This paper not only describes examples of human communication with counting artifacts and other early computing machines but it also recounts specific personal experiences with interfaces from the author’s career of over fifty five years working in information sciences.

Keywords

Personal user experiences Interface History Computer interfaces Communication with computing artifacts 

References

  1. 1.
    Crosby, M.E.: Using events from the past to inform the future. In: Tatnall, A., Blyth, T., Johnson, R. (eds.) HC 2013. IFIP AICT, vol. 416, pp. 144–148. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  2. 2.
    Crosby, M.E.: Looking back. In: Tatnall, A. (ed.) Reflections on the History of Computing. IFIP AICT, vol. 387, pp. 108–114. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  3. 3.
    Giangrandi, P., Mirolo, C.: Numerie macchine: a virtual museum to learn the history of computing. In: Proceedings of the 11th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, pp. 78–82. ACM, Bologna, Italy (2006)Google Scholar
  4. 4.
    Urton, G.: From knots to narratives: reconstructing the art of historical record keeping in the andes from spanish transcriptions of Inka Khipus. Ethnohistory 45(5), 409–438 (1998)CrossRefGoogle Scholar
  5. 5.
    Beynon-Davies, P.: Informatics and the Inca. Int. J. Inf. Manage. 27, 306–318 (2007)CrossRefGoogle Scholar
  6. 6.
  7. 7.
    Lavington, S.: A History of Manchester Computers, 2nd edn. The British Computer Society, Swindon (1998)Google Scholar
  8. 8.
    Astin, A.V.: Computer Development (SEAC and DYSEAC) at the National Bureau of Standards Washington D.C., vol. 551. National Bureau of Standards, U.S. Government Printing Office, Michigan (1955). Accessed 25 January 1955Google Scholar
  9. 9.
    Hinds, M., Jones, W.: Computer program for ionosheric mapping by numerical methods. NBS Tech Note 181 (1963)Google Scholar
  10. 10.
    Anderson, D.: The future of the past. Commun. ACM 55(5), 33–34 (2012)CrossRefGoogle Scholar
  11. 11.
    Ryan, J.A.: History of the Internet and the Digital Future. Reaktion Books LTD., London (2010)Google Scholar
  12. 12.
    Abramson, N.: The Aloha system. In: Abramson, N., Kuo, F. (eds.) Journal of Computer Communication Networks. Prentice Hall, New York (1973)Google Scholar
  13. 13.
    Gimpel, J.: A theory of discrete patterns and their implementation in SNOBOL4. Commun. ACM 16(2), 91–100 (1973). http://doi.acm.org/10.1145/361952.361960 MathSciNetCrossRefGoogle Scholar
  14. 14.
    Iverson, K.: A personal view of APL. IBM Syst. J. 30(4), 582–593 (1991)CrossRefGoogle Scholar
  15. 15.
    Falkoff, A., Iversion, K.: The evolution of APL. SIGPLAN Not. 13(8), 45–57 (1978)CrossRefGoogle Scholar
  16. 16.
    Ito, J.: A History of Interactive Timesharing at UH. http://www.hawaii.edu/infobits/s2000/interact.html (2000)
  17. 17.
  18. 18.
    Smith, S., Sherwood, B.: Educational uses of the PLATO computer system. Science 192(4237), 344–352 (1976)CrossRefGoogle Scholar
  19. 19.
  20. 20.
  21. 21.
    Ashworth, D., Stelovsky, J.: Kanji city: an exploration of hypermedia applications for CALL. CALICO J. 6(4), 27–50 (1989)zbMATHGoogle Scholar
  22. 22.
    Crosby, M., Stelovsky, J., Ashworth, D.: Hypermedia as a facilitator for retention: a case study using Kanji city. Comput. Assist. Lang. Learn. 7(1), 3–13 (1994)CrossRefGoogle Scholar
  23. 23.
    Crosby, M., Stelovsky, J.: How do we read algorithms? a case study. IEEE Comput. 23(1), 24–35 (1990)CrossRefGoogle Scholar
  24. 24.
    Crosby, M., Peterson, W.: Using eye movements to classify search strategies. Proc. Hum. Factors Soc. 2, 1476–1480 (1991)CrossRefGoogle Scholar
  25. 25.
    Nordbotten, J., Crosby, M.: The effect of graphic style on data model interpretation. Inf. Syst. J. 9, 139–155 (1999)CrossRefGoogle Scholar
  26. 26.
    Ikehara, C., Crosby, M.: Assessing cognitive load with physiological sensors. In: Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS 38) (2005)Google Scholar
  27. 27.
    Crosby, M., Ikehara, C.: Using real-time physiological monitoring for assessing cognitive states. In: Ghinea, G., Chen, S. (eds.) Digital Multimedia Perception and Design. Idea Group Inc., Hershey (2006)Google Scholar
  28. 28.
    Wingfield, N.: Microsoft Has Suddenly Gotten Serious with Mobile. New York Times, Business, p. B8 (19 February 2015)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of Information and Computer SciencesUniversity of HawaiiManoaUSA

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