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Multi-disciplinary Learning and Innovation for Professional Design of AI-Powered Services
Halmstad University, School of Information Technology.ORCID iD: 0000-0002-2791-6647
2022 (English)In: Design, Learning, and Innovation: 6th EAI International Conference, DLI 2021, Virtual Event, December 10-11, 2021, Proceedings / [ed] Eva Brooks; Jeanette Sjöberg; Anders Kalsgaard Møller, Cham: Springer, 2022, p. 21-36Conference paper, Published paper (Refereed)
Abstract [en]

Companies face several challenges when adopting Artificial Intelligence (AI) technologies in their service and product offerings. Adaptive behavior that changes over time, such as personalization, affects end-user experiences in sometimes unpredictable ways, making designing for AI-powered experiences difficult to prototype and evaluate. To fully make use of AI technologies, companies need new tools, methods, and knowledge that relate to their specific design context. This includes learning how to adapt design and development processes to fit AI-powered services, communication in cross-functional teams, and continuous competency development strategies. This paper reports on an innovation and learning program called AI.m that facilitates practical learning about how to use emerging AI technologies for human-centered design. The program has been executed for 15 companies and evaluated using interviews with researchers, design practitioners, and company representatives that have worked within the learning program. This study suggests and verifies a productive and efficient learning environment and process where companies, university research departments, and design agencies collaborate to produce AI-powered services and at the same time develop their competency in AI and human-centered design. The qualitative analysis provides a set of categories of learning implications organized as a framework of prompts to help organizations develop AI and design capabilities. © 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

Place, publisher, year, edition, pages
Cham: Springer, 2022. p. 21-36
Series
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, ISSN 1867-8211, E-ISSN 1867-822X ; 435
Keywords [en]
AI, Design, Digitalization, Innovation, Learning environments
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:hh:diva-46336DOI: 10.1007/978-3-031-06675-7_2Scopus ID: 2-s2.0-85131942099Libris ID: jz3jq6ctg40zgp9tISBN: 978-3-031-06675-7 (electronic)ISBN: 9783031066740 (print)OAI: oai:DiVA.org:hh-46336DiVA, id: diva2:1636981
Conference
EAI DLI 2021 - 6th EAI International Conference on Design, Learning & Innovation, Virtual Event, December 10-11, 2021
Available from: 2022-02-11 Created: 2022-02-11 Last updated: 2022-09-01Bibliographically approved

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Wärnestål, Pontus

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CiteExportLink to record
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Citation style
  • apa
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Language
  • de-DE
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More languages
Output format
  • html
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  • asciidoc
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