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

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2024

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Gesellschaft für Informatik e.V.

Zusammenfassung

This 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.

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Alexander Kühnemund, Guido Recke (2024): Non-behavioral variables on the acceptance of AI-based camera systems. 44. GIL - Jahrestagung, Biodiversität fördern durch digitale Landwirtschaft. DOI: 10.18420/giljt2024_39. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-738-8. pp. 131-142. Stuttgart. 27.-28. Februar 2024

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