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Enabling Human-Autonomy Teaming in Aviation: A Framework to Address Human Factors in Digital Assistants Design
RISE Research Institutes of Sweden, Digital Systems, Industrial Systems.ORCID iD: 0000-0001-7111-2964
RISE Research Institutes of Sweden, Digital Systems, Industrial Systems.
RISE Research Institutes of Sweden, Safety and Transport, Fire and Safety.ORCID iD: 0000-0003-3588-0688
ONERA, France.
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2024 (English)In: Journal of Physics, Conference Series, ISSN 1742-6588, E-ISSN 1742-6596, Vol. 2716, article id 012076Article in journal (Refereed) Published
Abstract [en]

The introduction of artificial intelligence (AI) tools in aviation necessitates more research into human-autonomy teaming in these domain settings. This paper describes the development of a design framework for supporting Human Factors novices in considering human factors, improving human-autonomy collaboration, and maintaining safety when developing AI tools for aviation settings. Combining elements of Hierarchical Task Analysis, Coactive Design, and Types and Levels of Autonomy, the design framework provides guidance in three phases: modelling and understanding the existing system and associated tasks; producing a new function allocation for optimal Human-Autonomy Teaming (HAT); and assessing HAT-related risks of the proposed design. In this framework, designers generate a comprehensive set of design considerations to support subsequent development processes. Framework limitations and future research avenues are discussed. 

Place, publisher, year, edition, pages
Institute of Physics , 2024. Vol. 2716, article id 012076
Keywords [en]
Human engineering; Job analysis; Personal digital assistants; Artificial intelligence tools; Assistant designs; Design frameworks; Digital assistants; Existing systems; Hierarchical task analysis; Level of autonomies; New functions; Provide guidances; Three phase model; Risk assessment
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:ri:diva-72911DOI: 10.1088/1742-6596/2716/1/012076Scopus ID: 2-s2.0-85188323435OAI: oai:DiVA.org:ri-72911DiVA, id: diva2:1854680
Funder
EU, Horizon Europe, 101069877
Note

This research was conducted in the SafeTeam project. SafeTeam has received funding from the European Union’s Horizon Europe research and innovation program under grant agreement No. 101069877

Available from: 2024-04-26 Created: 2024-04-26 Last updated: 2024-04-26Bibliographically approved

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Bjurling, OscarBurgén, Julia

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