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Non-behavioral variables on the acceptance of AI-based camera systems

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dc.contributor.authorAlexander Kühnemund, Guido Recke
dc.date.accessioned2024-04-08T11:56:32Z
dc.date.available2024-04-08T11:56:32Z
dc.date.issued2024
dc.description.abstractThis study investigated the contextual factors for the acceptance of AI camera technologies. For this purpose, 185 pig farmers were interviewed in an online survey. The regression model investigated whether technology acceptance is influenced by the variables age, education, region, digitalization experience, and farm size. The statistical analysis showed that a higher perceived level of digitalization on the farm and the geographical location of the farm are predictors of technology acceptance. This shows that acceptance, and thus adoption, is determined by factors other than behavioral ones.en
dc.identifier.doi10.18420/giljt2024_39
dc.identifier.isbn978-3-88579-738-8
dc.identifier.issn2944-7682
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43865
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartof44. GIL - Jahrestagung, Biodiversität fördern durch digitale Landwirtschaft
dc.relation.ispartofseriesLecture Notes in Informatics(LNI) - Proceedings, Volume P - 344
dc.subjectAI
dc.subjectsurveillance
dc.subjectcamera
dc.subjectpig
dc.subjectobservation
dc.subjecttechnology acceptance
dc.titleNon-behavioral variables on the acceptance of AI-based camera systemsen
dc.typeText/Conference Paper
gi.citation.endPage142
gi.citation.publisherPlaceBonn
gi.citation.startPage131
gi.conference.date27.-28. Februar 2024
gi.conference.locationStuttgart
gi.conference.reviewfull

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P344 - 44. GIL-Jahrestagung 2024 - Fokus: Biodiversität fördern durch digitale Landwirtschaft