Hostname: page-component-8448b6f56d-wq2xx Total loading time: 0 Render date: 2024-04-25T04:06:06.228Z Has data issue: false hasContentIssue false
  • English
  • Français

Co-Designing with AI in Sight

Published online by Cambridge University Press:  26 May 2022

Á. Aranda-Muñoz ,
U. Florin ,
Y. Yamamoto ,
Y. Eriksson  and
K. Sandström
Á. Aranda-Muñoz*
Affiliation:
Mälardalen University, Sweden Research Institutes of Sweden, Sweden
U. Florin
Affiliation:
Mälardalen University, Sweden
Y. Yamamoto
Affiliation:
Mälardalen University, Sweden
Y. Eriksson
Affiliation:
Mälardalen University, Sweden
K. Sandström
Affiliation:
Research Institutes of Sweden, Sweden
*
alvaro.aranda.munoz@ri.se

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Artificial Intelligence offers a wide variety of capabilities that can potentially address people's needs and desires in their specific contexts. This pilot study presents a collaborative method using a deck of AI cards tested with 58 production, AI, and information science students, and experts from an accessible media agency. The results suggest that, with the support of the method and AI cards, participants can ideate and reach conceptual AI solutions. Such conceptualisations can contribute to a more inclusive integration of AI solutions in society.

Keywords

early design phaseparticipatory designartificial intelligence (AI)idea generationmethod development
Type
Article
Information
Proceedings of the Design Society , Volume 2: DESIGN2022 , May 2022 , pp. 101 - 110
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2022.

References

Albinsson, L. and Forsgren, P.O. (2005), “Co-Design Metaphors and Scenarios – Two Elements in a Design Language for Co-Design”, Proceedings of LAP 2005, presented at the Proceedings of LAP 2005.Google Scholar
Amershi, S., Weld, D., Vorvoreanu, M., Fourney, A., Nushi, B., Collisson, P., Suh, J., et al. . (2019), “Guidelines for Human-AI Interaction”, Proceedings of 2019 CHI, ACM, New York, NY, USA, Glasgow, Scotland UK.Google Scholar
Aranda-Muñoz, Á., Eriksson, Y., Yamamoto, Y., Florin, U. and Sandström, K. (2021), “To support IoT collaborative expressiveness on the shop floor”, Proceedings of the Design Society, Vol. 1, pp. 3149–3158. DOI: 10.1017/pds.2021.576Google Scholar
Auernhammer, J. (2020), “Human-centered AI: The role of Human-centered Design Research in the development of AI”, Synergy - DRS International Conference. DOI: 10.21606/drs.2020.282.CrossRefGoogle Scholar
Bozic-Yams, N. and Aranda-Muñoz, Á. (2021), “Poetics of Future Work: Blending Speculative Design with Artistic Methodology”, CHI’ 21 Extended Abstracts, ACM, NY, USA. DOI: 10.1145/3411763.3443451Google Scholar
Brandt, E., Binder, T. and Sanders, E. (2012), “Tools and techniques: Ways to engage telling, making and enacting”, in Simonsen, J. and Robertson, T. (Eds.), Routledge International Handbook of Participatory Design, Routledge, pp. 145–181.Google Scholar
Bratteteig, T. and Verne, G. (2018), “Does AI Make PD Obsolete? Exploring Challenges from Artificial Intelligence to Participatory Design”, Proceedings of PDC 2018, ACM. DOI: 10.1145/3210604.3210646.Google Scholar
Browne, J.T. (2019), “Wizard of Oz Prototyping for Machine Learning Experiences”, CHI’19 Extended Abstracts, ACM, Glasgow, Scotland, UK, pp. 1–6. DOI: 10.1145/3290607.3312877Google Scholar
Clarke, M.F., Gonzales, J., Harper, R., Randall, D., Ludwig, T. and Ikeya, N. (2019), “Better Supporting Workers in ML Workplaces”, CSCW’19 Companion, ACM, Austin, TX, USA, pp. 443–448.Google Scholar
Dalsgaard, P. (2017), “Instruments of Inquiry: Understanding the Nature and Role of Tools in Design”, International Journal of Design, Vol. 1 No. 11, pp. 21–33.Google Scholar
d.school, S. (2018), “I Love Algorithms”, available at: https://dschool.stanford.edu/resources/i-love-algorithms (accessed 14 October 2021).Google Scholar
Florin, U. (2015). Konstnärskap i samspel: om skapande arbetsprocesser i myndighetsledda samverkansprojekt. PhD dissertation, Mälardalen University.Google Scholar
Florin, U., and Eriksson, Y. 2020. “Visual Awareness Aiding Communication.” The International Journal of Visual Design 14 (2): 21–33. DOI: 10.18848/2325-1581/CGP/v14i02/21-33.CrossRefGoogle Scholar
Futurice-Oy. (2020), “The Intelligence Augmentation Design Toolkit”, available at: http://iadesignkit.com (accessed 14 October 2021).Google Scholar
Hanington, B. and Martin, B. (2019), Universal Methods of Design Expanded and Revised: 125 Ways to Research Complex Problems, Develop Innovative Ideas, and Design Effective Solutions, Rockport Publishers Inc.Google Scholar
Harper, R.H.R. (2019), “The Role of HCI in the Age of AI”, International Journal of Human–Computer Interaction, Vol. 35 No. 15, pp. 1331–1344. DOI: 10.1080/10447318.2019.1631527CrossRefGoogle Scholar
JSAI, the J.S. for A.I. (2020), “AI Map beta 2.0”, AI Map Beta 2.0, available at: https://www.ai-gakkai.or.jp/en/resource/aimap/ (accessed 30 October 2021).Google Scholar
Littman, M.L., Ajunwa, I., Berger, G., Boutilier, C., Currie, M., Doshi-Velez, F., Hadfield, G., et al. . (2021), The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report, available at: http://ai100.stanford.edu/2021-report.Google Scholar
Loi, D., Lodato, T., Wolf, C.T., Arar, R. and Blomberg, J. (2018), “PD Manifesto for AI Futures”, PDC ’18: Short Papers, Situated Actions, Workshops and Tutorial, ACM, NY, USA. DOI: 10.1145/3210604.3210614.Google Scholar
Malsattar, N., Kihara, T. and Giaccardi, E. (2019), “Designing and Prototyping from the Perspective of AI in the Wild”, DIS ’19, ACM, New York, NY, USA, pp. 1083–1088. DOI: 10.1145/3322276.3322351Google Scholar
Mateescu, A. and Elish, M.C. (2019), AI in Context: The Labor of Integrating New Technologies, New York: Data & Society Research Institute.Google Scholar
Mucha, H., Mevißen, D., Robert, S., Jacobi, R., Meyer, K., Heusler, W. and Arztmann, D. (2020), “Co-Design Futures for AI and Space: A Workbook Sprint”, CHI ’20 Extended Abstracts, ACM, New York, NY, USA, pp. 1–8. DOI: 10.1145/3334480.3375203Google Scholar
G, PAIR. (2019), People + AI Guidebook, available at: https://pair.withgoogle.com/guidebook (accessed 14 October 2021).Google Scholar
Peters, D., Loke, L. and Ahmadpour, N. (2020), “Toolkits, cards and games – a review of analogue tools for collaborative ideation”, CoDesign, DOI: 10.1080/15710882.2020.1715444CrossRefGoogle Scholar
Piet, N. (2020), “AI meets design toolkit”, available at: http://aimeets.design/toolkit/ (accessed 14 October 2021).Google Scholar
Sanders, E. and Stappers, P. (2012), Convivial Toolbox: Generative Research for the Front End of Design. Amsterdam, BIS Publishers.Google Scholar
Schön, D.A. (1992), “Designing as reflective conversation with the materials of a design situation”, Artificial Intelligence in Design Conference 1991 Special Issue, Vol. 5 No. 1, pp. 3–14.Google Scholar
Schön, D.A. (1993), “Generative metaphor: A perspective on problem-setting in social policy”, Cambridge University Press, Cambridge, pp. 137–163. DOI: 10.1017/CBO9781139173865.011Google Scholar
Shneiderman, B. (2020), “Human-Centered Artificial Intelligence: Three Fresh Ideas”, AIS Transactions on Human-Computer Interaction, Vol. 12 No. 3, pp. 109–124. DOI: 10.17705/1thci.00131Google Scholar
Smith, R.G. and Eckroth, J. (2017), “Building AI Applications: Yesterday, Today, and Tomorrow”, AI Magazine, Vol. 38 No. 1, pp. 6–22. DOI: 10.1609/aimag.v38i1.2709CrossRefGoogle Scholar
Butler, Triggers and, C. (2020), “Machine Learning Deck”, available at: https://www.trytriggers.com/shop-our-tools/ideation-cards-for-artificial-intelligence (accessed 14 October 2021).Google Scholar
Wolf, C.T. (2020), “Democratizing AI? Experience and Accessibility in the Age of Artificial Intelligence”, XRDS, Vol. 26 No. 4, pp. 12–15. DOI: 10.1145/3398370Google Scholar
Wölfel, C. and Merritt, T. (2013), “Method Card Design Dimensions: A Survey of Card-Based Design Tools”, in Kotzé, P., Marsden, G., Lindgaard, G., Wesson, J. and Winckler, M. (Eds.), Human-Computer Interaction–INTERACT 2013, Vol. 8117, Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 479–486. DOI: 10.1007/978-3-642-40483-2_34Google Scholar
Zoltán, S. (2021), The Application of Artificial Intelligence, Springer International Publishing. DOI: 10.1007/978-3-030-60032-7.Google Scholar