Schwaninger, Adrian
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Schwaninger, Adrian
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- PublikationBelastungen und Ressourcen und ihre Auswirkungen auf Beanspruchung, Wohlbefinden und Kündigungsabsicht - Eine Studie mit Flughafensicherheitsbeauftragten(08.03.2024) Latscha, Marius; Theiler, Sven; Sterchi, Yanik; Schwaninger, Adrian06 - Präsentation
- PublikationObjektlernen mit Virtual Reality versus am 2D Bildschirm(07.03.2024) Wyssenbach, Thomas; Kaufmann, Kaspar; Schwaninger, Adrian06 - Präsentation
- PublikationTime on task and task load in visual inspection: A four-month field study with X-ray baggage screeners(Elsevier, 17.05.2023) Buser, Daniela; Schwaninger, Adrian; Sauer, Jürgen; Sterchi, Yanik [in: Applied Ergonomics]01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationSegmentierung beeinflusst das Lernen: Eine Studie zur Wissensvermittlung durch Virtual Reality und 2D-Bildschirmen mit Flughafensicherheitspersonal(02.03.2023) Wyssenbach, Thomas; Kaufmann, Kaspar; Schwaninger, Adrian06 - Präsentation
- PublikationWhy and how unpredictability is implemented in aviation security - A first qualitative study(Elsevier, 17.02.2023) Zeballos, Melina; Fumagalli, Carla Sophie; Ghelfi-Wächter, Signe; Schwaninger, Adrian [in: Heliyon]01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationVideo demonstrations can predict the intention to use digital learning technologies(Wiley, 21.01.2023) Sprenger, David; Schwaninger, Adrian [in: British Journal of Educational Technology]The technology acceptance model (TAM) uses perceived usefulness and perceived ease of use to predict the intention to use a technology which is important when deciding to invest in a technology. Its extension for e-learning (the general extended tech-nology acceptance model for e-learning; GETAMEL) adds subjective norm to predict the intention to use. Technology acceptance is typically measured after the technology has been used for at least three months. This study aims to identify whether a minimal amount of exposure to the technology using video demonstrations is sufficient to predict the intention to use it three months later. In two studies—one using TAM and one using GETAMEL—we showed students of different cohorts (94 and 111 participants, respectively) video demonstra-tions of four digital technologies (classroom response system, classroom chat, e-lectures, mobile virtual real-ity). We then measured technology acceptance imme-diately after the demonstration and after three months of technology use. Using partial least squares model-ling, we found that perceived usefulness significantly predicted the intention to use three months later. In GETAMEL, perceived usefulness significantly predicted the intention to use for three of the four learning technol-ogies, while subjective norm only predicted the inten-tion to use for mobile virtual reality. We conclude that video demonstrations can provide valuable insight for decision-makers and educators on whether students will use a technology before investing in it.01A - Beitrag in wissenschaftlicher Zeitschrift
- PublikationPoster Presentation of Project Examples in the Field of Artificial Intelligence(17.11.2022) Schwaninger, Adrian; Sterchi, Yanik; Wäfler, Toni; Renggli, Philipp; Rack, Oliver; Bleisch, Susanne; Paneth, Lisa; Jeitziner, Loris Tizian; Gasparik, Matus; Zahn, Carmen06 - Präsentation
- Publikation3D imaging for hold baggage screening: The relevance of rotation and slicing functions(06.09.2022) Merks, Sarah; Sauer, Juergen; Schwaninger, Adrian06 - Präsentation
- PublikationField study regarding the work duration for the visual inspection of X-ray images of passenger baggage(06.09.2022) Sterchi, Yanik; Buser, Daniela; Sauer, Juergen; Schwaninger, Adrian06 - Präsentation
- PublikationThe occurrence of miscues by decision support systems: A study with airport security screeners supported by automated explosives detection systems for cabin baggage screening(06.09.2022) Hügli, David; Chavaillaz, Alain; Sauer, Juergen; Schwaninger, Adrian06 - Präsentation