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dc.contributor.authorLangen, Tommy
dc.contributor.authorMuller, Gerrit
dc.contributor.authorFalk, Kristin
dc.date.accessioned2024-01-16T13:18:53Z
dc.date.available2024-01-16T13:18:53Z
dc.date.created2023-10-15T12:04:07Z
dc.date.issued2023
dc.identifier.citationLangen, T., Muller, G., Falk, K. (2023). Conceptual modeling for Human Systems Integration in Manned-Unmanned Teaming. I T. Ahram & R. Taiar (Red.), Human Interaction & Emerging Technologies (IHIET 2023): Artificial Intelligence & Future Applications (Bd. 111, s. 91-101).en_US
dc.identifier.isbn978-1-958651-87-2
dc.identifier.urihttps://hdl.handle.net/11250/3111869
dc.description.abstractFuture systems are becoming increasingly complex as autonomous systems work closely with human operators. Transdisciplinary development is needed to create systems functioning in dynamic Manned-Unmanned Teaming (MUM-T) operations. This paper demonstrates the use of conceptual modeling during Human Systems Integration in the early phase of MUM-T development. We used case study research in a company with participatory action research. This paper highlights three suitable conceptual modeling approaches that provide insight into human factors and manpower distribution in the context of manned and unmanned systems in a search and rescue operation. These models include storytelling, visual ConOps, and dynamic workflow models. Through visual support, these models facilitate engaging stakeholder discussions, enhance contextual understanding, and allow for easy modifications during co-creation. They are particularly useful in preparing for workshops and eliciting knowledge from end-user meetings.en_US
dc.language.isoengen_US
dc.relation.ispartofHuman Interaction & Emerging Technologies (IHIET 2023): Artificial Intelligence & Future Applications
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleConceptual modeling for Human Systems Integration in Manned-Unmanned Teamingen_US
dc.typeChapteren_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2023. Published by AHFE Open Access. All rights reserved.en_US
dc.source.pagenumber91-101en_US
dc.identifier.doihttp://doi.org/10.54941/ahfe1004013
dc.identifier.cristin2184830
cristin.ispublishedtrue
cristin.fulltextoriginal


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