Abstract
Intelligent technologies have already revolutionized the economy, and they will continue to do so via autonomous, AI-based systems and artefacts. Artefacts can handle much more intellectually complicated tasks than was possible before. However, the technological transformation will set new demands for technology design and designers. Designing electromechanical technologies has been based on natural science, but intelligent technologies will extensively use knowledge of human research and information processing to create new artefacts. Intelligent information processing has so far been possible only for biological systems and especially for human minds. Therefore, their functions and behaviors will become essential both for the development of new technologies and for the technologies themselves. In this paper, we concentrate on the foundations of investigating how language and thought interact in design thinking. To illustrate the importance of interaction, we present three examples of phenomena in which design thinking and design language meet: explication, understanding, and linguistic (conceptual) change. Understanding how language and thinking are linked within these phenomena may improve the design processes and, e.g., how to train designers’ domain-specific skills.
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References
Fukuda, K.: Science, technology and innovation ecosystem transformation toward society 5.0. Int. J Prod. Econ. 220, 2–14 (2020)
Tegmark, M.: Life 3.0. Penguin, St Ives (2017)
Minsky, M.: Computation: Finite and Infinite Machines. Prentice-Hall, Englewood Cliffs (1967)
Pahl, G., Beitz, W., Feldhusen, J., Grote, K.: Engineering Design: A Systematic Approach. Springer, Berlin (2007). https://doi.org/10.1007/978-1-84628-319-2
Morrell, V.: Animal Wise. Random House, New York (2013)
Schumpeter, J.: Business Cycles. McGraw-Hill, New York (1939)
Lyons, J.: Semantics 1–2. Cambridge University Press, Cambridge (1977)
Newell, A., Simon, H.: Human Problem Solving. Prentice-Hall, Englewood Cliffs (1972)
Fodor, J.: A Theory of Contents. MIT Press, Cambridge (1990)
Simon, H.: The Sciences of Artificial. MIT Press, Cambridge (1969)
Dym, C., Brown, D.: Engineering Design: Representation and Reasoning. Cambridge University Press, Cambridge (2012)
Turing, A.: On computable numbers, with an application to the entscheidungsproblem. Proc. Lond. Math. Soc. 42, 230–265 (1936)
Turing, A.: Computing machinery and intelligence. Mind 59, 433–460 (1950)
Tieteen termipankki [The Helsinki term bank for the arts and sciences]. Tieteentermipankki/wiki/termipankki/etusivu
Lakoff, G., Johnson, M.: Philosophy in the Flesh: The Embodied Mind and Its Challenge to Western Thought. Basic Books, New York (1999)
Wittgenstein, L.: Philosophical Investigations. Basil Blackwell, Oxford (1953)
Wiener, N.: Cybernetics. MIT Press, Cambridge (1948)
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Saariluoma, P., Möttönen, T., Onikki-Rantajääskö, T. (2022). What Can Linguistics Do to Technology Design?. In: Ahram, T., Taiar, R. (eds) Human Interaction, Emerging Technologies and Future Systems V. IHIET 2021. Lecture Notes in Networks and Systems, vol 319. Springer, Cham. https://doi.org/10.1007/978-3-030-85540-6_55
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DOI: https://doi.org/10.1007/978-3-030-85540-6_55
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