Interaction as learning process: incorporating domain knowledge into system use

ABSTRACT

While users increasingly need to obtain more knowledge for operating systems, knowledge of the domain of concern has been hidden behind system operation which may not reflect the reality of practice in the domain. As users' experience in system use is limited to system operation procedures, they may not be able to learn how to manipulate domain knowledge in order to achieve satisfactory output using the system. This research aims to propose a methodology for supporting system designers in developing a system that can help users more actively expand and manipulate their domain knowledge through interaction. In this paper, first, the models of users' learning process in interaction are proposed. Then, the effects of users' operation and domain knowledge on their learning process are investigated through observational case studies. Finally, a methodological concept for manipulating users' learning process in system design is proposed and discussed in order to enhance the quality of interaction.

REFERENCES

• 1: Liam Bannon, From human factors to human actors: the role of psychology and human-computer interaction studies in system design, Design at work: cooperative design of computer systems, L. Erlbaum Associates Inc., Hillsdale, NJ, 1992
• 2: Stuart K. Card , Allen Newell , Thomas P. Moran, The Psychology of Human-Computer Interaction, L. Erlbaum Associates Inc., Hillsdale, NJ, 1983
• 3: Choi, J. and Sato, K. 2006. Framing a Learning-Based Approach to Interactive System Design. In Proceedings of the Design Research Society International Conference: Wonderground (Lisbon, Portugal, November 2006).
• 4: Choi, K., Choi, J. and Sato, K. 2008. Socio-Cultural Factors for New Product Acceptance in Home Environment Design. Journal of the Human-Environmental System, 11(1), 65--71.
• 5: Driscoll, M. P. 2005. Psychology of Learning for Instruction, 3^rd ed. Allyn and Bacon, Boston, MA.
• 6: Margaret M. Gardiner , Bruce Christie, Applying cognitive psychology to user-interface design, John Wiley & Sons, Inc., New York, NY, 1987
• 7: Hegel, G. W. F. 1989. Hegel's Science of Logic, trans. A. V. Miller. Prometheus Books, New York, NY. (Original work published in 1812)
• 8: Keller, J. M. 1987. Strategies for stimulating the motivation to learn. Performance and Instruction Journal, 26(8), 1--7.
• 9: Kari Kuutti, Activity theory as a potential framework for human-computer interaction research, Context and consciousness: activity theory and human-computer interaction, Massachusetts Institute of Technology, Cambridge, MA, 1995
• 10: Lave, J. 1988. Cognition in Practice: Mind, mathematics, and culture in everyday life. Cambridge University Press, Cambridge, UK.
• 11: Lektorsky, V. A. 1980. Subject, Object, Cognition. Progress Publishers, Moscow.
• 12: Marx, K. 1990. Capital: Volume 1, trans. B. Fowkes. Penguin Books, New York, NY. (Original work published in 1867)
• 13: Marx, K. 1993. Grundrisse: Foundations of the Critique of Political Economy, trans. M. Nicolaus. Penguin Books, New York, NY. (Original work published in 1857)
• 14: Miyake, N. 1986. Constructive Interaction and the Iterative Process of Understanding. Cognitive Science, 10(2), 151--177.
• 15: Perkins, D. 1992. Technology meets constructivism: Do they make a marriage. In Constructivism and the technology of instruction: A conversation, T. Duffy & D. Jonassen. Lawrence Erlbaum Associates, Publishers, NJ, 45--56.
• 16: Sasse, M. A. 1997. Eliciting and Describing Users' Models of Computer Systems. Ph.D dissertation, School of Computer Science, University of Birmingham, England.
• 17: Seel, N. M. 2001. Epistemology, Situated Cognition, and Mental Models: 'Like a Bridge over Troubled Water.' Instructional Science, 29, 403--427.
• 18: Lucy A. Suchman, Plans and situated actions: the problem of human-machine communication, Cambridge University Press, New York, NY, 1987
• 19: Zimmerman, B. 1994. Dimensions of academic self-regulation: A conceptual framework for education. In Self-regulation of Learning and Performance, D. H. Schunk & B. J. Zimmerman, Eds. Hillsdale, Erlbaum, NJ.
• 20: Zhang J. and Norman, D. A. 1994. Representations in Distributed Cognitive Tasks. Cognitive Science. 18, 87--122.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.1 MODELS AND PRINCIPLES
      H.1.2 User/Machine Systems
          Subjects: Human factors

Additional Classification:
  H. Information Systems
  H.1 MODELS AND PRINCIPLES
      H.1.2 User/Machine Systems
          Subjects: Human information processing
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.2 User Interfaces (D.2.2, H.1.2, I.3.6)
          Subjects: Theory and methods; User-centered design

General Terms:
Design, Human Factors

Keywords:
design methodology, domain and operation knowledge, interactive system design, users' learning process