Auflistung nach Autor:in "Fischer, Peter"
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Publikation Autonomes Fahren im Live-Test. In Regensburg bringt der People Mover Fahrgäste von A nach B(TRIO Hochschulverbund Transfer und Innovation Ostbayern, 2021) Hudecek, Matthias; Fischer, Peter; Krakowitzer, Marco01B - Beitrag in Magazin oder ZeitungPublikation Eine arbeits- und organisationspsychologische Betrachtung der Arbeitswelt der Zukunft(TRIO Hochschulverbund Transfer und Innovation Ostbayern, 2020) Hudecek, Matthias; Fischer, Peter01B - Beitrag in Magazin oder ZeitungPublikation Kommunikation in Zeiten gesellschaftlicher Spaltung(Dr. Otto Schmidt, 2020) Hudecek, Matthias; Fischer, Peter01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Predicting acceptance of autonomous shuttle buses by personality profiles: a latent profile analysis(Springer, 2023) Schandl, Franziska; Fischer, Peter; Hudecek, MatthiasAbstract Autonomous driving and its acceptance are becoming increasingly important in psychological research as the application of autonomous functions and artificial intelligence in vehicles increases. In this context, potential users are increasingly considered, which is the basis for the successful establishment and use of autonomous vehicles. Numerous studies show an association between personality variables and the acceptance of autonomous vehicles. This makes it more relevant to identify potential user profiles to adapt autonomous vehicles to the potential user and the needs of the potential user groups to marketing them effectively. Our study, therefore, addressed the identification of personality profiles for potential users of autonomous vehicles (AVs). A sample of 388 subjects answered questions about their intention to use autonomous buses, their sociodemographics, and various personality variables. Latent Profile Analysis was used to identify four personality profiles that differed significantly from each other in their willingness to use AVs. In total, potential users with lower anxiety and increased self-confidence were more open toward AVs. Technology affinity as a trait also contributes to the differentiation of potential user profiles and AV acceptance. The profile solutions and the correlations with the intention to use proved to be replicable in cross validation analyses.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Surfing in the streets: How problematic smartphone use, fear of missing out, and antisocial personality traits are linked to driving behavior(Public Library of Science, 2023) Hudecek, Matthias; Lemster, Simon; Fischer, Peter; Cecil, Julia; Frey, Dieter; Gaube, Susanne; Lermer, EvaSmartphone use while driving (SUWD) is a major cause of accidents and fatal crashes. This serious problem is still too little understood to be solved. Therefore, the current research aimed to contribute to a better understanding of SUWD by examining factors that have received little or no attention in this context: problematic smartphone use (PSU), fear of missing out (FOMO), and Dark Triad. In the first step, we conducted a systematic literature review to map the current state of research on these factors. In the second step, we conducted a cross-sectional study and collected data from 989 German car drivers. A clear majority (61%) admitted to using the smartphone while driving at least occasionally. Further, the results showed that FOMO is positively linked to PSU and that both are positively associated with SUWD. Additionally, we found that Dark Triad traits are relevant predictors of SUWD and other problematic driving behaviors––in particular, psychopathy is associated with committed traffic offenses. Thus, results indicate that PSU, FOMO, and Dark Triad are relevant factors to explain SUWD. We hope to contribute to a more comprehensive understanding of this dangerous phenomenon with these findings.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Who thinks COVID-19 is a hoax? Psychological correlates of beliefs in conspiracy theories and attitudes towards anti-Coronavirus measures at the end of the first lockdown in Germany(Ubiquity Press, 2022) Hudecek, Matthias; Fischer, Peter; Gaube, Susanne; Lermer, Eva12 - Patent