Auflistung nach Autor:in "Frey, Dieter"

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Intuitive Physik im Kindesalter
(Hogrefe, 2006) Wilkening, Friedrich; Huber, Susanne; Cacchione, Trix; Schneider, Wolfgang; Sodian, Beate; Birbaumer, Niels; Frey, Dieter; Kuhl, Julius; Schwarzer, Ralf
04A - Beitrag Sammelband
Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays
(Nature, 2023) Gaube, Susanne; Suresh, Harini; Raue, Martina; Lermer, Eva; Koch, Timo K.; Hudecek, Matthias; Ackery, Alun D.; Grover, Samir C.; Coughlin, Joseph F.; Frey, Dieter; Kitamura, Felipe C.; Ghassemi, Marzyeh; Colak, Errol
Artificial intelligence (AI)-generated clinical advice is becoming more prevalent in healthcare. However, the impact of AI-generated advice on physicians’ decision-making is underexplored. In this study, physicians received X-rays with correct diagnostic advice and were asked to make a diagnosis, rate the advice’s quality, and judge their own confidence. We manipulated whether the advice came with or without a visual annotation on the X-rays, and whether it was labeled as coming from an AI or a human radiologist. Overall, receiving annotated advice from an AI resulted in the highest diagnostic accuracy. Physicians rated the quality of AI advice higher than human advice. We did not find a strong effect of either manipulation on participants’ confidence. The magnitude of the effects varied between task experts and non-task experts, with the latter benefiting considerably from correct explainable AI advice. These findings raise important considerations for the deployment of diagnostic advice in healthcare.
01A - Beitrag in wissenschaftlicher Zeitschrift
Patient:innen und KI: Eine Frage der Perspektive bei der Bewertung von KI bei medizinischen Online-Diensten
(Frankfurt University of Applied Sciences, 2024) Lermer, Eva; Gaube, Susanne; Cecil, Julia; Kleine, Anne-Kathrin; Kokje, Eesha; Frey, Dieter; Hudecek, Matthias; Klein, Barbara; Rägle, Susanne; Klüber, Susanne
04A - Beitrag Sammelband
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, Eva
Smartphone 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 Zeitschrift
Where a psychopathic personality matters at work: a cross-industry study of the relation of dark triad and psychological capital
(BioMed Central, 2023) Stephan, Birgit; Lechner, Dominik; Stockkamp, Mariella; Hudecek, Matthias; Frey, Dieter; Lermer, Eva
Background The concepts of Dark Triad and Psychological Capital (PsyCap) have been extensively researched separately, but until one recent study, their interrelation has not been investigated. Purpose of this study was to uncover differences of the relationship of both concepts across work related industries. Methods In total, 2,109 German employees across 11 industries completed a questionnaire on Dark Triad (narcissism, psychopathy and Machiavellianism) and PsyCap. Multiple regression analyses were used to test the association of both concepts across industries. Results Values of narcissism, psychopathy and PsyCap generally differed between industries. No significant differences were found for Machiavellianism. While narcissism relates positively to PsyCap in all industry sectors, psychopathy only showed a negative relation to PsyCap in some sectors. For industries architecture, automotive and consulting, psychopathy did not significantly predict PsyCap. Conclusions We argue that different expectations of employees per industry make it easier or harder for different personalities to assimilate (homogeneity hypothesis) to the work context (measured by PsyCap). Future studies should investigate this further with other variables such as person-organization-fit. This study was, however, the first to simultaneously investigate Dark Triad and PsyCap among employees and their respective industry. It extends previous findings by revealing differences of both concepts across and within industry sectors. The study can help to reconsider in which industries Dark Triad personality affects PsyCap as antecedent of workplace outcomes such as work satisfaction or job performance.
01A - Beitrag in wissenschaftlicher Zeitschrift