Hibrid design: Technológia–társadalom–nevelés

Kulcsszavak: Design diszciplínája, hibrid design, társadalmi nevelés, morális fejlődés

Absztrakt

 A 21. század küszöbén a design diszciplínája mély átalakuláson megy keresztül: a művészet, tudomány, design, technológia, pszichológia, ökológia és a társadalomtudomány határain megszületik a hibrid design mint új gondolkodásmód és potenciális tudományterület mely a hálózatkutatás szemléletét és szótárát tűzi ki eszközéül. A hibrid design képes különböző rendszereket értelmezni, gondolkodni bennük s majd ötvözni azokat. A hib­rid designer már nem csupán tárgyakat, hanem kapcsolatokat is tervez, olyan hálózatokat, ahol az ember, a művészet, a gép és a természet kölcsönösen ta­nulnak egymástól [I. II]. E harmadik cikkben a technológia-társadalom kol­laborációját vizsgálom. Az írás az APFM-Systems és a MedHubAI legújabb pilot projektjét analizálja és annak társadalom nevelő potenciáljait. A magyar­országi együttműködése példája: egy olyan technológiai–etikai ökoszisztéma, ahol az épületüzemeltetési algoritmusok és az egészségügyi empátia mester­séges intelligenciája közös tanuló rendszert alkot [III, IV]. A közös kutatás és projekt célja, hogy a technológiát ne csupán hatékonyságra, hanem társadalmi

nevelésre és morális fejlődésre használja a karbantartás, az egészségügyi kommunikáció. Az adatáramlás mint affektív és oktató terek újraértelme­zésével [V, VI]. Bemutatom hogy egy hibrid designer ebben a kontextusban hogyan szemlélődik, már nem formatervező, hanem etikai kurátor: olyan interdiszciplináris alkotó, aki képes hidat építeni az emberi érzékenység és a technológiai tanulás között. A MedHubAI–APFM-Systems közös fejlesztése bemutatja, hogyan válhat a technológia az empátia, a gondoskodás és a kö­zösségi tanulás médiumává, és miként analizál a hibrid design a 21. század új potenciális tudományága [VII, VIII].

Hivatkozások

Oxman, N. (2016): Age of entanglement. Journal of Design and Science. https://doi org/10.21428/7e0583ad

Latour, B. (2005): Reassembling the Social. Oxford: Oxford University.

Hegedüs, V. (2021): Adaptive Systems and Ethical Design Paradigms.

Csernák, B.–Riskó, Á. (2023): Empatikus mesterséges intelligencia és hálózati etika.

Star, S. L. (1999): The Ethnography of Infrastructure.

DiSalvo, C. (2012): Adversarial Design.

APFM-Systems (2024): PropTech and Adaptive Facility Management.

MedHubAI (2024): Digital Empathy as Health Communication Infrastructure.

Oxman, N. (2016): Age of entanglement. Journal of Design and Science. https://doi.org/10.21428/7e0583ad

Latour, B. (2005): Reassembling the Social. Oxford: Oxford University.

Hegedüs, V. (2021): Adaptive Systems and Ethical Design Paradigms.

Csernák, B.–Riskó, Á. (2023): Empatikus mesterséges intelligencia és hálózati etika.

Star, S. L. (1999): The Ethnography of Infrastructure.

DiSalvo, C. (2012): Adversarial Design.

APFM-Systems (2024): PropTech and Adaptive Facility Management.

MedHubAI (2024): Digital Empathy as Health Communication Infrastructure.

Oxman, N. (2016): Age of entanglement. Journal of Design and Science. https://doi.org/10.21428/7e0583ad

Breque, M.–De Nul, L.–Petridis, A. (2021): Industry 5.0: Towards a sustainable, human-centric and resilient European industry. Brussels: European Commission.

Barabási, A.-L. (2016): Network science. Cambridge: Cambridge University Press.

Ishii, H. (2008): Tangible bits: Beyond pixels. In: Proceedings of the 2nd International Conference on Tangible and Embedded Interaction, pp. 15–25.

Teicholz, E. (2013): Technology for facility managers: The impact of CAFM on productivity. London: Wiley.

Teicholz, E. (2013): Technology for facility managers: The impact of CAFM on productivity. London: Wiley.

Porter, M. E.–Heppelmann, J. E. (2014): How smart, connected products are transforming competition.

Harvard Business Review, 92., (11.), pp. 64–88.

Buckman, A. H.–Mayfield, M.–Beck, S. B. M. (2014): What is a smart building? Building and Environment, 70., pp. 249–259. https://doi.org/10.1016/j.buildenv.2013.08.036

Sanders, E. B.-N., –Stappers, P. J. (2008): Co-creation and the new landscapes of design. CoDesign, 4., (1.), pp. 5–18.

Bandura, A. (1997): Self-efficacy: The exercise of control. W. H. Freeman.

Bainbridge, L. (1983): Ironies of automation. Automatica, 19., (6.), pp. 775–779. https://doi.org/10.1016/0005-1098(83)90046-8

Foucault, M. (1977). Discipline and punish: The birth of the prison. Pantheon.

Tarafdar, M.–Tu, Q.– Ragu-Nathan, B. S.–Ragu-Nathan, T. S. (2007): The impact of technostress on role stress and productivity. Journal of Management Information Systems, 24., (1.), pp. 301–328. https://doi.org/10.2753/MIS0742-1222240109

Koolhaas, R., & Mau, B. (1995): S, M, L, XL. New York: The Monacelli Press.

Barabási, A.-L., & Albert, R. (1999): Emergence of scaling in random networks. Science, 286., (5439.), pp. 509–512. https://doi.org/10.1126/science.286.5439.509

Kitchin, R. (2014): The data revolution: Big data, open data, data infrastructures and their consequences. London: Sage.

Breque, M.–De Nul, L.–Petridis, A. (2021): Industry 5.0: Towards a sustainable, human-centric and resilient European industry. Brussels: European Commission.

Foucault, M. (1977). Discipline and punish: The birth of the prison. New York: Pantheon.

Castells, M. (1996): The rise of the network society. London: Blackwell.

Mau, S. (2019): The metric society: On the quantification of the social. Polity Press.

Ananny, M.–Crawford, K. (2018): Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic

accountability. New Media & Society, 20., (3.), pp. 973–989. https://doi.org/10.1177/1461444816676645

DiSalvo, C. (2012): Adversarial design. Boston: MIT Press.

DiSalvo, C. (2012): Adversarial design. Boston: MIT Press.

Holland, J. C.– Breitbart, W. S.–Jacobsen, P. B.–Lederberg, M. S.–Loscalzo, M. J.–McCorkle, R. (Eds.) (2015): Psycho-oncology (3rd ed.). Oxford: Oxford University Press.

Topol, E. (Ed.) (2019): Deep medicine: How artificial intelligence can make healthcare human again. New York: Basic Books.

Longoni, C.– Bonezzi, A.–Morewedge, C. K. (2019): Resistance to medical artificial intelligence. Journal of Consumer Research, 46., (4.), pp. 629–650. https://doi.org/10.1093/jcr/ucz013

Barabási, A.-L. (2016): Network science. Cambridge: Cambridge University Press.

Ananny, M.–Crawford, K. (2018): Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability. New Media & Society, 20., (3.), pp. 973–989. https://doi.org/10.1177/1461444816676645

Johnson, S. (2001): Emergence: The connected lives of ants, brains, cities, and software. New York: Scribner

Topol, E. (2019): Deep medicine: How artificial intelligence can make healthcare human again. New York: Basic Books.

Floridi, L.–Cowls, J. (2019): A unified framework of five principles for AI in society. Harvard Data Science Review, 1., (1.). https://doi.org/10.1162/99608f92.8cd550d1

Topol, E. (2019): Deep medicine: How artificial intelligence can make healthcare human again. New York: Basic Books.

Floridi, L.–Cowls, J. (2019): A unified framework of five principles for AI in society. Harvard Data Science Review, 1., (1.). https://doi.org/10.1162/99608f92.8cd550d1

Norman, D. A. (2013): The design of everyday things. New York: Basic Books.

Barabási, A.-L. (2016): Network science. Cambridge: Cambridge University Press.

Topol, E. (Ed.) (2019): Deep medicine: How artificial intelligence can make healthcare human again. New York: Basic Books.

European Parliament and Council. (2016): Regulation (EU) 2016/679 … (General Data Protection Regulation).

Topol, E. (Ed.) (2019): Deep medicine: How artificial intelligence can make healthcare human again. New York: Basic Books.

European Union Agency for Cybersecurity. (2023): The NIS2 directive. Brussels.

Floridi, L.–Cowls, J. (2019): A unified framework of five principles for AI in society. Harvard Data Science Review, 1., (1.). https://doi.org/10.1162/99608f92.8cd550d1

Norman, D. A. (2013): The design of everyday things. New York: Basic Books.

Castells, M. (1996): The rise of the network society. New York: Blackwell.

Mau, S. (2019): The metric society: On the quantification of the social. New York: Polity Press.

Johnson, S. (2001): Emergence: The connected lives of ants, brains, cities, and software. New York: Scribner

Topol, E. (2019): Deep medicine: How artificial intelligence can make healthcare human again. New York: Basic Books.

Floridi, L.–Cowls, J. (2019): A unified framework of five principles for AI in society. Harvard Data Science Review, 1., (1.). https://doi.org/10.1162/99608f92.8cd550d1

Kitchin, R. (2014): The data revolution: Big data, open data, data infrastructures and their consequences. London: Sage.

Star, S. L.–Strauss, A. (1999): Layers of silence, arenas of voice: The ecology of visible and invisible work. Computer Supported Cooperative Work, (1–2.), pp. 9–30. https://doi.org/10.1023/A:1008651105359

Floridi, L.–Cowls, J. (2019): A unified framework of five principles for AI in society. Harvard Data Science Review, 1., (1.). https://doi.org/10.1162/99608f92.8cd550d1

Norman, D. A. (2013): The design of everyday things. New York: Basic Books.

Barabási, A.-L. (2016): Network science. Cambridge: Cambridge University Press.

Star, S. L.–Strauss, A. (1999): Layers of silence, arenas of voice: The ecology of visible and invisible work. Computer Supported Cooperative Work, ., (1–2.), pp. 9–30. https://doi.org/10.1023/A:1008651105359

Topol, E. (Ed.) (2019): Deep medicine: How artificial intelligence can make healthcare human again. New York: Basic Books.

Floridi, L.–Cowls, J. (2019): A unified framework of five principles for AI in society. Harvard Data Science Review, 1., (1.). https://doi.org/10.1162/99608f92.8cd550d1

Barabási, A.-L., & Albert, R. (1999): Emergence of scaling in random networks. Science, 286., (5439.), pp. 509–512. https://doi.org/10.1126/science.286.5439.509

Castells, M. (1996): The rise of the network society. New York: Blackwell.

Johnson, S. (2001): Emergence: The connected lives of ants, brains, cities, and software. New York: Scribner

Floridi, L.–Cowls, J. (2019): A unified framework of five principles for AI in society. Harvard Data Science

Review, 1., (1.). https://doi.org/10.1162/99608f92.8cd550d1

Oxman, N. (2016): Age of entanglement. Journal of Design and Science. https://doi.org/10.21428/7e0583ad

Megjelent
2025-11-27
Hogyan kell idézni
Vattay F. V. (2025). Hibrid design: Technológia–társadalom–nevelés. Dunakavics, 2025(11), 43-62. https://doi.org/10.63684/dk.2025.11.05
Rovat
Cikkek