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The impact of mixed-initiative on collaboration in hybrid AI
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-9808-2037
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-1112-2981
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0001-7409-5813
2024 (English)In: HHAI 2024: hybrid human AI systems for the social good: proceedings of the third international conference on hybrid human-artificial intelligence / [ed] Fabian Lorig; Jason Tucker; Adam Dahlgren Lindström; Frank Dignum; Pradeep Murukannaiah; Andreas Theodorou; Pınar Yolum, Amsterdam: IOS Press, 2024, p. 469-471Conference paper, Published paper (Refereed)
Abstract [en]

This paper explores the integration of mixed-initiative systems in human-AI teams to improve coordination and communication in Search and Rescue (SAR) scenarios, leveraging dynamic control sharing to enhance operational effectiveness.
Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2024. p. 469-471
Series
Frontiers in Artificial Intelligence and Applications, ISSN 0922-6389, E-ISSN 1879-8314 ; 386
Keywords [en]
Human-AI interaction, mixed-initiative systems, search and rescue, team coordination
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:umu:diva-228000DOI: 10.3233/FAIA240227Scopus ID: 2-s2.0-85198757074ISBN: 9781643685229 (electronic)OAI: oai:DiVA.org:umu-228000DiVA, id: diva2:1885275
Conference
3rd International Conference on Hybrid Human-Artificial Intelligence, HHAI 2024, Hybrid, Malmö, Sweden, June 10-14, 2024
Available from: 2024-07-22 Created: 2024-07-22 Last updated: 2025-02-18Bibliographically approved

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fulltext(113 kB)120 downloads
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Methnani, LeilaDahlgren Lindström, AdamDignum, Virginia

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CiteExportLink to record
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Citation style
  • apa
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Language
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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