Developing Team Design Patterns for Hybrid Intelligence Systems
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| Názov: | Developing Team Design Patterns for Hybrid Intelligence Systems |
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| Autori: | Zoelen,van, Emma, Onderzoeker, Mioch, Tina, Onderzoeker, Tajaddini, Mani, Onderzoeker, Fleiner, Christian, Onderzoeker, Tsaneva, Stefani, Onderzoeker, Camin, Pietro, Onderzoeker, Gouvêa, Thiago, Onderzoeker, Baraka, Kim, Onderzoeker, Boer,de, Maaike, Onderzoeker, Neerincx, Mark, Onderzoeker |
| Prispievatelia: | Artificial Intelligence, Hogeschool Utrecht@@@Kenniscentrum Digital Business & Media |
| Zdroj: | HHAI 2023: Augmenting Human Intellect. :3-16 |
| Informácie o vydavateľovi: | Hogeschool Utrecht, 2023. IOS Press. |
| Rok vydania: | 2023 |
| Predmety: | Hybrid Intelligence, Team Design Patterns, Use-case based research, Human-centered AI, Co-evolution, Interdependence |
| Popis: | With artificial intelligence (AI) systems entering our working and leisure environments with increasing adaptation and learning capabilities, new opportunities arise for developing hybrid (human-AI) intelligence (HI) systems, comprising new ways of collaboration. However, there is not yet a structured way of specifying design solutions of collaboration for hybrid intelligence (HI) systems and there is a lack of best practices shared across application domains. We address this gap by investigating the generalization of specific design solutions into design patterns that can be shared and applied in different contexts. We present a human-centered bottom-up approach for the specification of design solutions and their abstraction into team design patterns. We apply the proposed approach for 4 concrete HI use cases and show the successful extraction of team design patterns that are generalizable, providing re-usable design components across various domains. This work advances previous research on team design patterns and designing applications of HI systems. |
| Druh dokumentu: | conference Object |
| Jazyk: | English |
| ISBN: | 978-1-64368-395-9 1-64368-395-0 |
| Prístupová URL adresa: | https://surfsharekit.nl/public/c0d949e4-1373-470f-bd9e-1dd8659f1c60 https://surfsharekit.nl/objectstore/d09c5013-97c0-41f7-98f5-d1cd51ed8fe5 https://ebooks.iospress.nl/volumearticle/63319 |
| Dostupnosť: | http://www.hbo-kennisbank.nl/en/page/hborecord.view/?uploadId=sharekit_hu:oai:surfsharekit.nl:c0d949e4-1373-470f-bd9e-1dd8659f1c60 |
| Prístupové číslo: | edshbo.sharekit.hu.oai.surfsharekit.nl.c0d949e4.1373.470f.bd9e.1dd8659f1c60 |
| Databáza: | HBO Kennisbank |
Nájsť tento článok vo Web of Science | Abstrakt: | With artificial intelligence (AI) systems entering our working and leisure environments with increasing adaptation and learning capabilities, new opportunities arise for developing hybrid (human-AI) intelligence (HI) systems, comprising new ways of collaboration. However, there is not yet a structured way of specifying design solutions of collaboration for hybrid intelligence (HI) systems and there is a lack of best practices shared across application domains. We address this gap by investigating the generalization of specific design solutions into design patterns that can be shared and applied in different contexts. We present a human-centered bottom-up approach for the specification of design solutions and their abstraction into team design patterns. We apply the proposed approach for 4 concrete HI use cases and show the successful extraction of team design patterns that are generalizable, providing re-usable design components across various domains. This work advances previous research on team design patterns and designing applications of HI systems. |
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| ISBN: | 9781643683959 1643683950 |