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A Methodological Framework for the Design and Evaluation of Software in Systems Involving Complex Human-Computer Interaction

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Software-Ergonomie ’87 Nützen Informationssysteme dem Benutzer?

Part of the book series: Berichte des German Chapter of the ACM ((BGCACM))

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Abstract

We are now in the fifth generation computing era with its emphasis on complex, knowledge-based systems involving close human-computer interaction. If we were able to use today’s technology to instrument, model and understand the human-computer interfaces of yesterday software engineering for complex systems would be very much easier. However, the system designer is always one step ahead. The multi-task, multi-user, multi-modal systems of the fourth and fifth generations go beyond knowledge based on the technology of yesterday. If we continue to rely on empirical knowledge based on studies of the past we shall never be equipped to deal with the systems of the present let alone those of the future. This is the dilemma of current software ergonomics research. It can be resolved only through the development of foundational models of computers, people and human-computer interaction that can be projected to novel situations. This address reviews the state of the art in software engineering for complex systems involving computers, people and their interaction. It presents recent developments in methodological frameworks for designing and evaluating complex systems.

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References

  • Ayres, R. U. (1968). Envelope Curve Forecasting. Technological Forecasting for Industry and Government. pp. 77–94. New Jersey: Prentice Hall.

    Google Scholar 

  • Brown, G. S. (1969). Laws of Form. London: George Allen & Unwin.

    MATH  Google Scholar 

  • Crane, D. (1972). Invisible Colleges: Diffusion of Knowledge in Scientific Communities. Chicago, Illinois: University of Chicago Press.

    Google Scholar 

  • Davis, R. & Lenat, D. B. (1982). Knowledge-Based Systems in Artificial Intelligence. New York: McGraw-Hill.

    MATH  Google Scholar 

  • Edwards, J. L. & Mason, J. A. (1987). Evaluating the intelligence in dialogue systems. International Journal of Man-Machine Studies, 27(1), to appear.

    Google Scholar 

  • Fano, R. M. (1965). The MAC system: a progress report. Sass, M. A. & Wilkinson, W. D., Eds. Computer Augmentation of Human Reasoning. pp. 131–150. Washington D. C., USA: Spartan Books.

    Google Scholar 

  • Fuchi, K., Sato, S. & Miller, E. (1984). Japanese approaches to high-technology R&D. Computer, 17(3), 14–18 (March).

    Article  Google Scholar 

  • Gaines, B. R. (1975). Analogy categories, virtual machines and structured programming. Goos, G. & Hartmanis, J., Eds. G1–5.Jahrestagung. Lecture Notes in Computer Science, 34, 691–699. Berlin: Springer Verlag.

    Google Scholar 

  • Gaines, B. R. (1979). The role of the behavioural sciences in programming. Structured Software Development Vol.2. pp. 57–68. Maidenhead, UK: Infotech International.

    Google Scholar 

  • Gaines, B. R. (1980). General systems research: quo vadis ?. Gaines, B. R., Ed. General Systems 1979. Vol. 24, pp. 1–9. Kentucky: Society for General Systems Research.

    Google Scholar 

  • Gaines, B. R. (1984a). A framework for the fifth generation. Proceedings of National Computer Conference, 53, 453–459. Arlington, Virginia: AFIPS Press.

    Google Scholar 

  • Gaines, B. R. (1984b). Perspectives on fifth generation computing. Oxford Surveys in Information Technology, 1, 1–53.

    Google Scholar 

  • Gaines, B. R. (1986a). Sixth generation computing: a conspectus of the Japanese proposals. ACM SIGART Newsletter, No.95, 39–44 (January).

    Google Scholar 

  • Gaines, B. R. (1986b). Socio-economic foundations of knowledge science. Proceedings of 1986 International Conference on Systems, Man and Cybernetics. Vol. IEEE 86CH2364-8, pp. 1035–1039. Atlanta (October).

    Google Scholar 

  • Hansen, W. J. (1971). User engineering principles for interactive systems. Proceedings of the Fall Joint Computer Conference, 39, 523–532. New Jersey: AFIPS Press.

    Google Scholar 

  • Kelly, G. A. (1955). The Psychology of Personal Constructs. New York: Norton.

    Google Scholar 

  • Klir, G. J. (1985). Architecture of Systems Problem Solving, New York: Plenum Press.

    MATH  Google Scholar 

  • Nelson, T. (1980). Interactive systems and the design of virtuality. Creative Computing, 6(11), 56–62 (November).

    Google Scholar 

  • Marchetti, C. (1981). Society as a learning system: discovery, invention and innovation cycles revisited. Report RR-81-29 (November). Laxenburg, Austria: International Institute for Applied Systems Analysis.

    Google Scholar 

  • Moto-oka, T. (1982). Fifth Generation Computer Systems.. Amsterdam: North-Holland.

    Google Scholar 

  • Pask, G. (1980). Developments in conversation theory—Part I. International Journal of Man-Machine Studies, 13(4), 357–411 (November).

    Article  Google Scholar 

  • Popper, K. R. (1968). Epistemology without a knowing subject. Van Rootselaar, B., Ed. Logic, Methodology and Philosophy of Science III. pp. 333–373. Amsterdam: North-Holland.

    Chapter  Google Scholar 

  • Rosen, R. (1985). Anticipatory Systems. Oxford: Pergamon.

    Google Scholar 

  • Schutz, A. & Luckmann, T. (1973). The Structures of the Life-World. London: Heinemann.

    Google Scholar 

  • Smith, D. C. (1983). Visibility in the Star user interface. Proceedings of Graphics Interface’ 83,181. Ottawa: National Research Council of Canada.

    Google Scholar 

  • STA (1985). Promotion of Research and Development on Electronics and Information Systems That May Complement or Substitute for Human Intelligence. Tokyo: Science and Technology Agency.

    Google Scholar 

  • Taylor, M. M. (1987). Layered protocols for computer-human dialogue: I Principles. International Journal of Man-Machine Studies, 27(1), this issue (July).

    Google Scholar 

  • Ulrich, W. (1983). Critical Heuristics of Social Planning. Bern: Haupt.

    Google Scholar 

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© 1987 B. G. Teubner Stuttgart

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Gaines, B.R. (1987). A Methodological Framework for the Design and Evaluation of Software in Systems Involving Complex Human-Computer Interaction. In: Schönpflug, W., Wittstock, M. (eds) Software-Ergonomie ’87 Nützen Informationssysteme dem Benutzer?. Berichte des German Chapter of the ACM. Vieweg+Teubner Verlag. https://doi.org/10.1007/978-3-322-82971-9_3

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  • DOI: https://doi.org/10.1007/978-3-322-82971-9_3

  • Publisher Name: Vieweg+Teubner Verlag

  • Print ISBN: 978-3-519-02670-9

  • Online ISBN: 978-3-322-82971-9

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