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Gearing Up the Knowledge Engineers: Experience Design Through Effective Human-Computer Interaction

  • Elspeth McKayEmail author
Chapter
Part of the Media Business and Innovation book series (MEDIA)

Abstract

Common sense may say that experience design provides the necessary framework to enable successful media convergence. The rationale of this professional practice is to provide a set of goals and objectives that serve to meet the needs of both the end-user and the sourcing organization. Effective experience design is however more than the provision of Web-mediated pages that offer a plethora of interactive media and digital informational artefacts. No longer is it sufficient to design and implement information systems (IS) that are divorced from the vagaries of human interaction online. This chapter will show that convergent media is emerging through an applied social-contextual lens. Moreover, we now know that effective human-computer interaction (HCI) involves a dichotomous relationship between the machine-dimension and a human-dimension, where the social context constructs of IS usage has changed the media landscape. Nevertheless the importance of balancing the HCI environment is often lost along the IS-design pathway. Too often the resulting digital artefacts present divergent functionality, where the machine-dimension is separated completely from the human-dimension. In recent times, and with the advent of information and communications technology (ICT) media tools, there has been a softer approach taken by experience design to provide lifestyle change. Individuals welcome the flexibility of the asynchronous nature of their interactive media. To manage such convergence in a business firm per se, this chapter is suggesting that it is the changeable nature of the HCI environment that must be understood by knowledge engineers (DeLong, Lost knowledge: Confronting the threat of an aging workforce. New York: Oxford, 2004) as they craft IS that will enable efficient and effective media convergence.

Keywords

Information Communication Technology Business Process Carpal Tunnel Syndrome Information System Knowledge Engineering 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Al-Eraky, M. M. (2012). AM last page: Robert Gagné’s nine events of instruction, revisited. Academic Medicine, 87(5), 677.CrossRefGoogle Scholar
  2. Allen, C. (2009). Creating shared language and shared artifacts. Life with Alacrity. [Electronic version], from http://www.lifewithalacrity.com/2009/09/creating-shared-language-and-shared-artiifacts.html
  3. Anderson, T. (2008). Theory and practice of online learning: Issues in distance education. From http://www.aupress.ca/index.php/books/120146
  4. Beeson, R. B. Jr., Helmers, P. E., & Stein, M. V. (2011). Maintaining stable virtual circuit data connection with spare protocol handler. [Electronic version], Patent 5289179, from http://www.patentstorm.us/patents/5289179/description.html
  5. Benbunan-Fich, R., Hiltz, S. R., & Turoff, M. (2001, January). A comparative content analysis of face-to-face vs. ALM-mediated teamwork. Paper presented at the 34th Hawaii International Conference on Systems Sciences (HICSS), Hawaii.Google Scholar
  6. Bradley, G. (2006). Social and community informatics: Humans on the net. New York: Routledge.Google Scholar
  7. Caplan, D. (2004). The development of online courses. In T. Anderson & F. Elloumi (Eds.), Theory and practice of online learning. Canada: Athabasca University. ISBN 0-919737-59-5.Google Scholar
  8. DeLong, D. W. (2004). Lost knowledge: Confronting the threat of an aging workforce. New York: Oxford.CrossRefGoogle Scholar
  9. Dillenbourg, P. (2005). Designing biases that augment socio-cognitive interactions. In R. Bromme, F. W. Hesse, & H. Spada (Eds.), Barriers and biases in computer-mediated knowledge communication (pp. 243–264). New York: Springer.CrossRefGoogle Scholar
  10. Gackenbach, J. (2007). Psychology and the internet: Intrapersonal (2nd ed.). Amsterdam: Elsevier.Google Scholar
  11. Gagne, R. M. (1985). The conditions of learning: And the theory of instruction (4th ed.). New York: Holt/Rinehart/Winston.Google Scholar
  12. Gannon, M. J., & Pillai, R. (2013). Understanding global cultures: Metaphoric journeys through 31 nations, clusters of nations, contents and diversity (5th ed.). London: Sage.Google Scholar
  13. Hass, K. (2007). The blending of traditional and agile project management. [Electronic version], from http://cs.anu.edu.au/courses/COMP3120/local_docs/readings/the-blending-of-traditional-and-agile-project-management.pdf
  14. Henkle, D. (2009). Experience design Part 1: definition. [Electronic version], from http://devinhenkel.com/what-the/experience-design-part-1-definition/
  15. Howcroft, D., Mitev, N., & Wilson, A. (2004). What we may learn from the social shaping of technology approach. In J. Mingers & L. Willcocks (Eds.), Social theory and philosophy for information systems (pp. 329–371). West Sussex: Wiley.Google Scholar
  16. Imaz, M., & Benyon, D. (2007). Designing with blends: Conceptual foundations of human-computer interaction and software engineering. London: MIT Press.Google Scholar
  17. Jones, M., Orlikowski, W., & Munir, K. (2004). Structuration theory and information systems: A critical reappraisal. In J. Mingers & L. Willcocks (Eds.), Social theory and philosophy for information systems (pp. 297–328). West Sussex: Wiley.Google Scholar
  18. Kruse, K. (2012). Gagnes nine events of instruction. [Electronic version], from http://lrc.binus.ac.id/downloads/TE/Gagne.pdf
  19. Law, C., Jaeger, P., & McKay, E. (2009). User Centered Design in Universal Design Resources. Universal Access in the Information Society, International Journal, Constantine Stephanidis (Editor in Chief), ISSN: 1615-5289 ISSN: 1615-5297, Springer Berlin/Heidelberg, 9(4), 327–335.Google Scholar
  20. Law, C., & McKay, E. (2007). Taking account of the needs of software developers/programmers in universal access evaluations. Paper presented at the 4th International Conference on Universal Access in Human-Computer Interaction, held at the 12th International Conference on Human-Computer Interaction (AC, UAHCI, HIMI, OCSC, VR, U&I, EPCE): Part 1, HCII 2007 LNCS 4554, Beijing, PR China, pp. 420–427.Google Scholar
  21. Lee, A. S. (2004). Thinking about social theory and philosophy for information systems. In J. Mingers & L. Willcocks (Eds.), Social theory and philosophy for information systems (pp. 1–26). West Sussex: Wiley.Google Scholar
  22. Leonardi, P. M. (2012). Digital materiality? Firstmond Journal. [Electronic version], 15 (6–7). From http://firstmonday.org/ojs/index.php/fm/article/view/3036
  23. Luthan, F. (1985). Organizational behavior. New York: McGraw-Hill.Google Scholar
  24. Maidani, E. A. (2012). Motivation theory. [Web page] from http://www.tutor2u.net/business/people/motivation_theory_herzberg.asp
  25. Martin, J., McKay, E., Hawkins, L., & Murthy, V. K. (2007). Design-personae: Matching students’ learning profiles in web-based education. In E. McKay (Ed.), Enhancing learning through human-computer interaction (p. 266). London: Idea Group Reference.Google Scholar
  26. Mayhew, D. J. (2008). Requirements specifications within the usability engineering lifecycle. In A. Sears & J. A. Jacko (Eds.), The human-computer interaction handbook: Fundamentals, evolving technologies and emerging applications (2nd ed., Vol. 1, pp. 917–926). New York: Taylor & Francis Group.Google Scholar
  27. McBride, S. (2012). Companies like safemart grow market share by focusing on customer satisfaction. MarketWire press release [Electronic version], from http://finance.yahoo.com/news/companies-safemart-grow-market-share-221858392.html
  28. McKay, E. (2008). The human-dimensions of human-computer interaction: Balancing the HCI equation (1st ed., Vol. 3). Amsterdam: Ios Press.Google Scholar
  29. McKay, E., Garner, B. J., & Okamoto, T. (2002, December 4–6). Understanding the ontological requirements for collaborative web-based experiential learning. Paper presented at the International Conference on Computers in Education 2002, Auckland, NZGoogle Scholar
  30. McKay, E., & Martin, J. (2010). Mental health and wellbeing: Converging HCI with human informatics in higher education. Issues in Informing Science and Information Technology, 7(3), 339–351.Google Scholar
  31. Merali, Y. (2004). Complexitiy and information systems. In J. Mingers & L. Willcocks (Eds.), Social theory and philosophy for information systems (pp. 407–446). Chichester: Wiley.Google Scholar
  32. Metykova, M. (2013). Media and advertising—The interests of citizens and consumers. In C. Wharton (Ed.), Advertising as culture (pp. 191–204). Bristol: Intellect.Google Scholar
  33. Nguyen, D. T., & Fussell, S. R. (2013). Effect of message content on communication processes in intercultural and same-culture instant messaging conversations. In CSCW 2013. San Antonio, pp. 19–32.Google Scholar
  34. Quintanilla, K. M., & Wahl, S. T. (2014). Technology in the workplace. In business and professional communication: Keys for workplace excellence (2nd ed., pp. 181–201). London: Sage.Google Scholar
  35. Sears, A., & Jacko, J. A. (Eds.). (2008). The human-computer interaction handbook: Fundamentals, evolving technologies and emerging applications (2nd ed., Vol. 1). New York: Taylor & Francis Group.Google Scholar
  36. Sharp, H., Rogers, Y., & Preece, J. (2007). Interaction design: Beyond human-computer interaction (3rd ed.). New York: Wiley.Google Scholar
  37. Stahgnini, J. (2013). Maslow’s hierarchy of needs: Transcendence and belongingness, Part 1. [Electronic version], from http://jeremiahstanghini.com/2013/07/16/maslows-hierarchy-of-needs-transcendence-and-belongingness-part-1/
  38. Stiller, K. D., Petzold, K., & Zinnbauer, P. (2011). Presentation time concerning system-paced multimedia instructions and the superiority of learner pacing. Australasian Journal of Educational Technology, 27(4), 693–708.CrossRefGoogle Scholar
  39. Tecuci, G., Boicu, M., Ayers, C., & Cammons, D. (2004). Cognitive assistants for analysts. In Proceedings of the 4th Annual Analysis & Productions’s Analysis Conference: The future of Analysis, NSA.Google Scholar
  40. Vandyme, G. (2008). The vagaries of human interaction. Deviantart.com. [Electronic version], from http://greymanvandyme.deviantart.com/journal/The-vagaries-of-human-interaction-235043099
  41. Wallace, P. (1999). The psychology of the internet. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
  42. Wharton, C. (2013). Introduction—Advertising and culture. In C. Wharton (Ed.), Advertising as culture (pp. 3–11). Bristol: Intellect.Google Scholar
  43. Zaphiris, P., Ang, C.-S., & Laghos, A. (2008). Online communities. In A. Sears & J. A. Jacko (Eds.), The human-computer interaction handbook: Fundamentals, evolving technologies and emerging applications (2nd ed., Vol. 1, pp. 603–619). New York: Taylor & Francis Group.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.School of Business Information Technology & LogisticsRMIT UniversityMelbourneAustralia

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