Hochschule für Angewandte Psychologie FHNW
Dauerhafte URI für den Bereichhttps://irf.fhnw.ch/handle/11654/1
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75 Ergebnisse
Bereich: Suchergebnisse
Publikation Night work, circadian rhythm, and cognitive performance: A field study with airport security screeners(Elsevier, 2024) Riz à Porta, Robin; Michel, Stefan; Sterchi, Yanik; Sauer, Jürgen; Schwaninger, Adrian01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Performance of X-ray baggage screeners in different work environments: comparing remote and local cabin baggage screening(Elsevier, 07/2024) Latscha, Marius; Schwaninger, Adrian; Sauer, Jürgen; Sterchi, Yanik01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Time 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, Yanik01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Nonverbal behavior of interviewers influences the competence ratings of observers in recruitment interviews: a study investigating social influence using 360‑degree videos with virtual reality and 2D screen displays(Springer, 2022) Wyssenbach, Thomas; Zeballos, Melina; Loosli, Stefan; Schwaninger, AdrianThis study examined whether an interviewer’s nonverbal behavior influences observers’ competence ratings in a recruitment interview using 360-degree videos experienced with immersive virtual reality (VR-cardboard) and 2D screen displays. Participants (n = 110) observed a recruitment interview and assessed three competences of the applicant (behavior in a team, customer care, and sales skill). We used a 2 × 2 design with the nonverbal behavior (positive vs. negative) of the interviewer and display type (VR-cardboard vs. 2D screen display) as between-subjects factors. After observing interview sequences and providing competence ratings, participants also rated different aspects of immersion using the augmented reality immersion questionnaire (ARI; Georgiou and Kyza in Int J Hum Comput Stud 98: 24–37, 2017) and their overall satisfaction with the experience. For two of the three competences (customer care and behavior in a team), we found that observers gave higher competence ratings when the interviewer’s nonverbal behavior was positive compared to when it was negative. This social influence effect was similar for 360-degree videos experienced with immersive VR and 2D screen displays. VR resulted in higher immersion than 2D screen displays regarding the dimensions of flow and presence. Our results suggest that the ARI questionnaire can be used to reliably assess 360-degree videos experienced with immersive VR and 2D screen displays.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Technology acceptance of four digital learning technologies (classroom response system, classroom chat, e‑lectures, and mobile virtual reality) after three months’ usage(Open University of Catalonia, 2021) Sprenger, David; Schwaninger, AdrianDigital technologies have gained much popularity in education thanks to the cost efficiency they gain through scalability. While the acceptance of some of these new digital technologies has been investigated, there are few direct comparisons. The most established model for measuring acceptance is the technology acceptance model, which can predict the behavioral intention to use the technology. We compared four digital learning technologies (e-lectures, classroom response system, classroom chat, and mobile virtual reality) in terms of their technology acceptance. The classroom response system had the highest level of acceptance. It was closely followed by e-lectures, then the classroom chat and then mobile virtual reality. The students evaluated all tools favorably before and after usage, except for mobile virtual reality, which saw a substantial drop in perceived usefulness and behavioral intention after 3 months’ usage.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Why 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, Adrian01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Video demonstrations can predict the intention to use digital learning technologies(Wiley, 21.01.2023) Sprenger, David; Schwaninger, AdrianThe 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 ZeitschriftPublikation Benefits of decision support systems in relation to task difficulty in airport security X-ray screening(Taylor & Francis, 15.08.2022) Hügli, David; Merks, Sarah; Schwaninger, AdrianAutomated explosive detection systems for cabin baggage screening (EDSCB) highlight areas in X-ray images of passenger bags that could contain explosive material. Several countries have implemented EDSCB so that passengers can leave personal electronic devices in their cabin bag- gage. This increases checkpoint efficiency, but also task difficulty for screeners. We used this case to investigate whether the benefits of decision support systems depend on task difficulty. 100 pro- fessional screeners conducted a simulated baggage screening task. They had to detect prohibited articles built into personal electronic devices that were screened either separately (low task diffi- culty) or inside baggage (high task difficulty). Results showed that EDSCB increased the detection of bombs built into personal electronic devices when screened separately. When electronics were left inside the baggage, operators ignored many EDSCB alarms, and many bombs were missed. Moreover, screeners missed most unalarmed explosives because they over-relied on the EDSCB’s judgment. We recommend that when EDSCB indicates that the bag might contain an explosive, baggage should always be examined further in a secondary search using explosive trace detection, manual opening of bags and other means01A - Beitrag in wissenschaftlicher ZeitschriftPublikation How realistic is threat image projection for X-ray baggage screening?(MDPI, 13.03.2022) Riz à Porta, Robin; Sterchi, Yanik; Schwaninger, AdrianAt airports, security officers (screeners) inspect X-ray images of passenger baggage in order to prevent threat items (bombs, guns, knives, etc.) from being brought onto an aircraft. Because threat items rarely occur, many airports use a threat-image-projection (TIP) system, which projects pre-recorded X-ray images of threat items onto some of the X-ray baggage images in order to improve the threat detection of screeners. TIP is regulatorily mandated in many countries and is also used to identify officers with insufficient threat-detection performance. However, TIP images sometimes look unrealistic because of artifacts and unrealistic scenarios, which could reduce the efficacy of TIP. Screeners rated a representative sample of TIP images regarding artifacts identified in a pre-study. We also evaluated whether specific image characteristics affect the occurrence rate of artifacts. 24% of the TIP images were rated to display artifacts and 26% to depict unrealistic scenarios, with 34% showing at least one of the two. With two-thirds of the TIP images having been perceived as realistic, we argue that TIP still serves its purpose, but artifacts and unrealistic scenarios should be reduced. Recommendations on how to improve the efficacy of TIP by considering image characteristics are provided.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Computer-based training increases efficiency in x-ray image interpretation by aviation security screeners(IEEE, 2007) Michel, Stefan; de Ruiter, Jaap C.; Moerland, Robert; Hogervorst, Maarten; Schwaninger, Adrian; Koller, Saskia04B - Beitrag Konferenzschrift