TY - CHAP A1 - Maya, Fatima A1 - Krieter, Philipp A1 - Wolf, Karsten D. A1 - Breiter, Andreas ED - Mandausch, Martin ED - Henning, Peter A. T1 - Extracting Production Style Features of Educational Videos with Deep Learning T2 - Proceedings of DELFI Workshops 2022 Karlsruhe, 12. September 2022 N2 - Enforced by the pandemic, the production of videos in educational settings and their availability on learning platforms allow new forms of video-based learning. This has a strong benefit of covering multiple topics with different design styles and facilitating the learning experience. Consequently, research interest in video-based learning has increased remarkably, with many studies focusing on examining the diverse visual properties of videos and their impact on learner engagement and knowledge gain. However, manually analysing educational videos to collect metadata and to classify videos for quality assessment is a time-consuming activity. In this paper, we address the problem of automatic video feature extraction related to video production design. To this end, we introduce a novel use case for object detection models to recognize the human embodiment and the type of teaching media used in the video. The results obtained on a small-scale custom dataset show the potential of deep learning models for visual video analysis. This will allow for future use in developing an automatic video assessment system to reduce the workload for teachers and researchers. KW - video-based learning KW - MOOC KW - video lecture design KW - deep learning KW - video features KW - object detection KW - YOLOv4-algorithm Y1 - 2022 U6 - https://doi.org/10.18420/delfi2022-ws-23 SP - 123 EP - 132 PB - Gesellschaft für Informatik e.V. CY - Bonn ER - TY - CHAP A1 - Tiator, Marcel A1 - Huhn, Calvin A1 - Geiger, Christian A1 - Grimm, Paul T1 - OpenXtract: A Blender Add-On for the Accelerated Extraction of the Objects of Interest T2 - 2022 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) KW - Geometrische Modellierung KW - Punktwolke KW - 3D-Grafik-Software Y1 - 2022 U6 - https://doi.org/10.1109/AIVR56993.2022.00020 SP - 99 EP - 103 PB - IEEE ER - TY - JOUR A1 - Versümer, Siegbert A1 - Blättermann, Patrick A1 - Rosenthal, Fabian A1 - Weinzierl, Stefan T1 - A comparison of methods for modeling soundscape dimensions based on different datasets JF - The Journal of the Acoustical Society of America N2 - Soundscape studies vary considerably in study design, statistical methods, and model fit metrics used. Due to this confounding of data and methods, it is difficult to assess the suitability of statistical modelling techniques used in the literature. Therefore, five different methods and two performance metrics were applied to three existing soundscape datasets to model soundscape Pleasantness and Eventfulness based on seven acoustic and three sociodemographic predictors. Datasets differed in soundscape type (urban outdoor vs indoor), experimental setting (field- vs lab-based), size, and study design (site- vs person-centered). The fixed-effects and mixed-effects methods ranged from linear to nonlinear regression based on advanced machine learning approaches. Results showed that models performed better for Eventfulness than for Pleasantness in most cases, while performance as measured by the out-of-sample R2 was dependent on the total variance of the target, especially in both field studies with imbalanced targets and groups. Nonlinear methods consistently outperformed linear regression, with random forest and extreme gradient boosting performing particularly well, while the performance levels of all nonlinear methods remained comparable. Mixed-effects models provided a more generalized, albeit slightly smaller prediction performance when tested on unknown groups. Finally, this study motivates the use of cross-validation with special splitting for analyzing small imbalanced datasets. KW - Acoustical properties KW - Audiometry KW - Psychological acoustics KW - Acoustic ecology KW - Artificial neural networks KW - Machine learning KW - Urban development KW - Finite-element analysis KW - Regression analysis KW - Statistical analysis KW - Akustische Eigenschaft KW - Audiometrie KW - Psychoakustik KW - Neuronales Netz KW - Maschinelles Lernen KW - Stadtentwicklung KW - Finite-Elemente-Methode KW - Regressionsanalyse KW - Statistische Analyse Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-48849 SN - 1520-8524 VL - 157 IS - 1 SP - 234 EP - 255 PB - AIP Publishing ER - TY - CHAP A1 - Krieter, Philipp A1 - Breiter, Andreas ED - Balie, Lynne ED - Oliver, Nuria T1 - Analyzing mobile application usage: generating log files from mobile screen recordings T2 - Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services, Barcelona Spain, September 3 - 6, 2018 Y1 - 2018 SN - 978-1-4503-5898-9 U6 - https://doi.org/10.1145/3229434.3229450 SP - 1 EP - 10 PB - ACM CY - New York ER - TY - JOUR A1 - Köhler, Denis A1 - Boegel-Driessen, Josephine Alexandra A1 - Josupeit, Jan A1 - Issa-Keller, Sarah-Joelle A1 - Müller, Romina A1 - Stricker, Johannes T1 - Reliability and Validity of the Comprehensive Assessment of Psychopathic Personality—Self-Report—German Version (CAPP-SR-GV) in a German Non-Criminal Sample JF - Behavioral Sciences N2 - The structure of psychopathy is conceptualized differently in various models and no consensus has yet been reached. This study aimed to further clarify psychopathy’s content and structure by validating the German Comprehensive Assessment of Psychopathic Personality—Self-Report (CAPP-SR). For this purpose, we used a sample of n = 458 participants. The CAPP’s six factors were replicated in an exploratory factor analysis. Further confirmatory analysis revealed recommendations for optimizing the CAPP. Thus, both an optimized version and the original CAPP-SR were examined. The construct validity of both versions was then examined using a different self-rating instrument for psychopathy, the Triarchic Psychopathy Measure. The implications of the findings and further research directions are discussed. KW - CAPP KW - Psychopathie KW - Persönlichkeit KW - Comprehensive Assessment of Psychopathic Personality KW - CAPP-SR KW - psychopathy KW - TriPM KW - personality KW - FBSK_Webseite Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-46018 SN - 2076-328X VL - 14 IS - 9 PB - MDPI ER - TY - JOUR A1 - Reims, Nancy A1 - Tophoven, Silke A1 - Rauch, Angela T1 - Bedingungen für gelingende berufliche Reha-Verläufe von Menschen mit psychischen Erkrankungen aus der Perspektive verschiedener Akteure JF - Zeitschrift für Sozialreform N2 - Menschen mit psychischen Erkrankungen sind mit besonderen Herausforderungen bei der Integration und Reintegration in den Arbeitsmarkt konfrontiert. Leistungen zur Teilhabe am Arbeitsleben (LTA) sollen dabei unterstützen. Der vorliegende Beitrag blickt auf die Situation von Menschen mit psychischen Erkrankungen in LTA der Bundesagentur für Arbeit aus verschiedenen Perspektiven. Auf Grundlage von qualitativen Interviews mit Tätigen bei Leistungserbringern, in Agenturen für Arbeit und Jobcentern sowie von beruflichen Rehabilitand*innen mit psychischen Erkrankungen selbst werden Gelingensbedingungen für ihre berufliche Rehabilitation und Arbeitsmarktintegration auf verschiedenen Ebenen herausgearbeitet. Mehr Individualität und Flexibilität in der Maßnahmeerbringung, eine kontinuierliche Betreuung und der Faktor Zeit, z. B. durch einerseits zu lange Wartezeiten und andererseits zu wenig Zeit in der Klärungsphase (Diagnostik, Assessment), im Rehabilitationsprozess und für die Nachsorge, stellen sich dabei als zentral heraus. KW - Berufliche Rehabilitation KW - Bundesagentur für Arbeit KW - Psychische Behinderhung KW - Leistungen zur Teilhabe am Arbeitsleben KW - FBSK_Webseite Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-46507 SN - 2366-0295 VL - 70 IS - 3 PB - De Gruyter ER - TY - JOUR A1 - Vöcking, Mara A1 - Karrenbrock, Anne A1 - Beckmann, Andreas A1 - Vondeberg, Carmen A1 - Obert, Laura A1 - Hemming, Bernhard A1 - Minartz, Peter A1 - Bleck, Christian A1 - Cürlis, Diana A1 - Kuske, Silke T1 - Emotional and Psychological Safety in Healthcare Digitalization: A Design Ethnographic Study JF - International Journal of Public Health N2 - Emotional and psychological safety is important during the use of digital technologies in healthcare. We aimed to gain comprehensive insight into needs, influencing factors and outcomes in the context of perceived safety and digital technologies in healthcare. We employed a participatory, design ethnographic research approach with 16 participants in 10 use cases. The methods included in an iterative process were, think-aloud, guideline-based interviews, process mapping, storyboard creation, and photo documentation. A qualitative, primarily inductive data analysis and synthesis was performed. Perceived safety is influenced by various factors and unmet needs. Increased perceived safety can positively support the use of digital technologies, whereas low perceived safety can limit or even hinder its use. The needs of the different target groups should be considered throughout the entire process of digital technology development and healthcare provision to support their implementation. These findings support further research by providing specific aspects of emotional and psychological safety regarding target groups, settings, and ages and those with different levels of affinity for digital technologies. KW - Digitalisierung KW - Gesundheitswesen KW - Ethnologie KW - psychische Sicherheit KW - emotionale Sicherheit KW - FBSK_Webseite Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-46556 SN - 1661-8564 VL - 69 PB - Frontiers ER - TY - JOUR A1 - Stricker, Johannes A1 - Jakob, Louisa A1 - Köhler, Denis A1 - Pietrowsky, Reinhard T1 - Six-month stability and predictive validity of the personality inventory for ICD-11 JF - BMC Psychology N2 - Background The International Classification of Diseases 11th Revision (ICD-11) personality disorder model comprises, among other elements, five maladaptive personality trait domains (negative affectivity, detachment, dissociality, disinhibition, anankastia). Recently, the personality inventory for ICD-11 (PiCD) has emerged as one of the most widely used measures of these ICD-11 personality trait domains. Methods The current study contributed to the validation of the PiCD validation by exploring its stability and predictive links with psychological distress over 6 months in a sample of 206 German community adults. Results The PiCD trait domain scales displayed strong differential (all r ≥ .80) and absolute stability (all |d| ≤ .09). Additionally, PiCD negative affectivity predicted depression, anxiety, and stress, and PiCD detachment predicted depression over 6 months beyond baseline. Conclusion In sum, this study demonstrated the stability of the PiCD trait domain scores, supporting their utility for capturing relatively stable traits as described in the ICD-11. Additionally, we provided the first evidence for the predictive validity of some of the PiCD trait domain scores. KW - ICD KW - Validität KW - Persönlichkeitsstörung KW - Persönlichkeitsfaktor KW - ICD-11 KW - Predictive validity KW - Psychological distress KW - Stability KW - FBSK_Webseite Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-46626 SN - 2050-7283 VL - 10 IS - 1 PB - Springer Nature ER - TY - JOUR A1 - Ataç, Ilker A1 - Schwiertz, Helge A1 - Jørgensen, Martin Bak A1 - Vandevoordt, Robin A1 - Hinger, Sophie A1 - Spindler, Susanne T1 - Negotiating Borders through a Politics of Scale: Municipalities and Urban Civil Society Initiatives in the Contested Field of Migration JF - Geopolitics KW - Migration KW - Flucht KW - Kommunalpolitik KW - Bürgerinitiative KW - Zivilgesellschaft KW - FBSK_Webseite Y1 - 2023 U6 - https://doi.org/10.1080/14650045.2022.2129732 SN - 1465-0045 VL - 29 IS - 2 SP - 714 EP - 740 PB - Informa ER - TY - JOUR A1 - Schneider, Sabrina A1 - Yoon, Dahlnym A1 - Mokros, Andreas A1 - Schwarz, Maximilian Fritz A1 - Baster, Angelina A1 - Köhler, Denis T1 - The Elemental Psychopathy Assessment (EPA): Factor structure and construct validity across three German samples JF - Psychological Assessment KW - Psychopathie KW - Gerichtliche Psychologie KW - Persönlichkeitsdiagnostik KW - Elemental Psychopathy Assessment KW - Konstruktvalidität KW - Faktorenanalyse KW - FBSK_Webseite Y1 - 2022 U6 - https://doi.org/10.1037/pas0001126 SN - 1939-134X VL - 34 IS - 8 SP - 717 EP - 730 PB - American Psychological Association ER -