@inbook{56079, author = {{Radoy, Maximilian Manfred and Hebrok, Sven Niclas and Somorovsky, Juraj}}, booktitle = {{Lecture Notes in Computer Science}}, isbn = {{9783031708954}}, issn = {{0302-9743}}, publisher = {{Springer Nature Switzerland}}, title = {{{In Search of Partitioning Oracle Attacks Against TLS Session Tickets}}}, doi = {{10.1007/978-3-031-70896-1_16}}, year = {{2024}}, } @inproceedings{56480, abstract = {{As the field of healthcare increasingly adopts artificial intelligence, it becomes important to understand which types of explanations increase transparency and empower users to develop confidence and trust in the predictions made by machine learning (ML) systems. In shared decision-making scenarios where doctors cooperate with ML systems to reach an appropriate decision, establishing mutual trust is crucial. In this paper, we explore different approaches to generating explanations in eXplainable AI (XAI) and make their underlying arguments explicit so that they can be evaluated by medical experts. In particular, we present the findings of a user study conducted with physicians to investigate their perceptions of various types of AI-generated explanations in the context of diagnostic decision support. The study aims to identify the most effective and useful explanations that enhance the diagnostic process. In the study, medical doctors filled out a survey to assess different types of explanations. Further, an interview was carried out post-survey to gain qualitative insights on the requirements of explanations incorporated in diagnostic decision support. Overall, the insights gained from this study contribute to understanding the types of explanations that are most effective.}}, author = {{Liedeker, Felix and Sanchez-Graillet, Olivia and Seidler, Moana and Brandt, Christian and Wellmer, Jörg and Cimiano, Philipp}}, location = {{Santiago de Compostela, Spain}}, title = {{{A User Study Evaluating Argumentative Explanations in Diagnostic Decision Support}}}, year = {{2024}}, } @inproceedings{56479, abstract = {{While the importance of explainable artificial intelligence in high-stakes decision-making is widely recognized in existing literature, empirical studies assessing users' perceived value of explanations are scarce. In this paper, we aim to address this shortcoming by conducting an empirical study focused on measuring the perceived value of the following types of explanations: plain explanations based on feature attribution, counterfactual explanations and complex counterfactual explanations. We measure an explanation's value using five dimensions: perceived accuracy, understandability, plausibility, sufficiency of detail, and user satisfaction. Our findings indicate a sweet spot of explanation complexity, with both dimensional and structural complexity positively impacting the perceived value up to a certain threshold.}}, author = {{Liedeker, Felix and Düsing, Christoph and Nieveler, Marcel and Cimiano, Philipp}}, keywords = {{XAI, Explanation Complexity, User Perception}}, location = {{Valetta, Malta}}, title = {{{An Empirical Investigation of Users' Assessment of XAI Explanations: Identifying the Sweet-Spot of Explanation Complexity}}}, year = {{2024}}, } @inbook{56476, author = {{Höper, Lukas and Schulte, Carsten and Benzmüller, Christoph}}, booktitle = {{Künstliche Intelligenz für Lehrkräfte}}, editor = {{Furbach, Ulrich and Kitzelmann, Emanuel and Michaeli, Tilman and Schmid, Ute}}, isbn = {{9783658442477}}, issn = {{2662-5970}}, publisher = {{Springer Fachmedien Wiesbaden}}, title = {{{Verantwortung}}}, doi = {{10.1007/978-3-658-44248-4_16}}, year = {{2024}}, } @inproceedings{56481, author = {{Berganski, Christoph and Jentzsch, Felix and Platzner, Marco and Kuhmichel, Max and Giefers, Heiner}}, location = {{Sydney}}, title = {{{FINN-T: Compiling Custom Dataflow Accelerators for Quantized Transformers}}}, year = {{2024}}, } @inproceedings{56488, author = {{Peñaloza, Rafael and Turhan, Anni-Yasmin}}, booktitle = {{Rules and Reasoning - 8th International Joint Conference, RuleML+RR 2024, Bucharest, Romania, September 16-18, 2024, Proceedings}}, editor = {{Kirrane, Sabrina and Simkus, Mantas and Soylu, Ahmet and Roman, Dumitru}}, pages = {{142–158}}, publisher = {{Springer}}, title = {{{Reasoning in Rough Description Logics with Multiple Indiscernibility Relations}}}, doi = {{10.1007/978-3-031-72407-7_11}}, volume = {{15183}}, year = {{2024}}, } @inproceedings{56484, author = {{Mamedov, Tural and Ehlert, Thomas and Schleicher, Eckhard and Dias, Felipe D. A. and Schubert, Markus and Kenig, Eugeny Y. and Hampel, Uwe}}, location = {{Dresden}}, title = {{{A conductivity-based flow imaging sensor for the investigation of liquid flow dynamics in stationary and moving separation columns packed with Mellapak 250Y}}}, year = {{2024}}, } @article{56497, author = {{Cappello, Chiara and Naserasr, Reza and Steffen, Eckhard and Wang, Zhouningxin}}, issn = {{0012-365X}}, journal = {{Discrete Mathematics}}, number = {{1}}, publisher = {{Elsevier BV}}, title = {{{Critically 3-frustrated signed graphs}}}, doi = {{10.1016/j.disc.2024.114258}}, volume = {{348}}, year = {{2024}}, } @article{56584, author = {{Suri, Ali}}, journal = {{Journal of Geometry and Physics}}, pages = {{105109}}, title = {{{Curvature and stability of quasi-geostrophic motion}}}, volume = {{198}}, year = {{2024}}, } @article{56585, author = {{Suri, Ali}}, journal = {{Journal of Geometry and Physics}}, pages = {{105333}}, title = {{{Conjugate points along spherical harmonics}}}, volume = {{206}}, year = {{2024}}, } @unpublished{56583, author = {{Glöckner, Helge and Suri, Ali}}, title = {{{L^1-regularity of strong ILB-Lie groups}}}, year = {{2024}}, } @inproceedings{55479, author = {{Peñaloza, Rafael and Turhan, Anni-Yasmin}}, booktitle = {{Rules and Reasoning - Eighth International Joint Conference, RuleML+RR 2024, Proceedings}}, editor = {{Kirrane, Sabrina and Simkus, Mantas and Soylu, Ahmet and Roman, Dumitru}}, publisher = {{Springer}}, title = {{{Reasoning in Rough Description Logics with Multiple Indiscernibility Relations}}}, doi = {{10.1007/978-3-031-72407-7\_11}}, year = {{2024}}, } @inbook{56592, author = {{Giesa, Felix and Hartel, Rita and Dunst, Alexander}}, booktitle = {{Comics | Histories}}, isbn = {{9783988580566}}, publisher = {{Rombach Wissenschaft – ein Verlag in der Nomos Verlagsgesellschaft}}, title = {{{On German Comics Traditions: An Explorative Approach to Digital Comics Historiography}}}, doi = {{10.5771/9783988580566-239}}, year = {{2024}}, } @inproceedings{56322, author = {{Elit, Stefan}}, title = {{{Klopstock? Oder: wie ein Autorleben erzählt wird (seit fast 300 Jahren)}}}, doi = {{10.17619/UNIPB/1-2098}}, year = {{2024}}, } @article{49655, abstract = {{In today's digital world, data-driven digital artefacts pose challenges for education, as many students lack an understanding of data and feel powerless when interacting with them. This article addresses these challenges and introduces the data awareness framework. It focuses on understanding data-driven technologies and reflecting on the role of data in everyday life. The paper also presents an empirical study on young school students' data awareness. The study involves a teaching unit on data awareness framed by a pretest-posttest design using a questionnaire on students' awareness and understanding of and reflection on data practices of data-driven digital artefacts. The study's findings indicate that the data awareness framework supports students in understanding data practices of data-driven digital artefacts. The findings also suggest that the framework encourages students to reflect on these data practices and think about their daily behaviour. Students learn a model about interactions with data-driven digital artefacts and use it to analyse data-driven applications. This approach appears to enable students to understand these artefacts from everyday life and reflect on these interactions. The work contributes to research on data and AI literacies and suggests a way to support students in developing self-determination and agency during interactions with data-driven digital artefacts.}}, author = {{Höper, Lukas and Schulte, Carsten}}, issn = {{2398-5348}}, journal = {{Information and Learning Sciences}}, keywords = {{Library and Information Sciences, Computer Science Applications, Education}}, number = {{7/8}}, pages = {{491--512}}, publisher = {{Emerald}}, title = {{{The data awareness framework as part of data literacies in K-12 education}}}, doi = {{10.1108/ils-06-2023-0075}}, volume = {{125}}, year = {{2024}}, } @techreport{56494, abstract = {{Many industrialized countries have recognized the need to mitigate energy cost increases faced by low-income households by fostering the adoption of energy-efficient technologies. How to meet this need is an open question, but “behavioral insights” are likely components of future policy designs. Applying well-established behavioral insights to low-income house- holds raises questions of transportability as they are typically underrepresented in the existing evidence base. We illustrate this problem by conducting a randomized field experiment on scalable, low-cost design elements to improve program take-up in one of the world’s largest en- ergy efficiency assistance programs. Observing investment decisions of over 1,800 low-income households in Germany’s “Refrigerator Replacement Program”, we find that the transportabil- ity problem is real and consequential: First, the most effective policy design would not have been chosen based on existing behavioral insights. Second, design elements favored by these insights either prove ineffective or even backfire, violating ‘do no harm’ principles of policy advice. Systematic testing remains crucial for addressing the transportability problem, partic- ularly for policies targeting vulnerable groups. }}, author = {{Kesternich, Martin and Chlond , Bettina and Goeschl, Timo and Werthschulte, Madeline}}, keywords = {{Transportability, low-income households, field experiment, randomized controlled trial, governmental welfare programs, energy efficiency, technology adoption}}, publisher = {{ AWI Discussion Paper Series No. 755}}, title = {{{Transporting behavioral insights to low-income households: A field experiment on energy efficiency investments}}}, year = {{2024}}, } @inproceedings{53532, abstract = {{Documents are largely stored and shared digitally. Yet, digital documents are still commonly signed using (copies of) handwritten signatures, which are sensitive to fraud. Though secure, cryptography-based signature solutions exist, they are hardly used due to usability issues. This paper proposes to use digital identity wallets for securely and intuitively signing digital documents with verified personal data. Using expert feedback, we implemented this vision in an interactive prototype. The prototype was assessed in a moderated usability test (𝑁 = 15) and a subsequent unmoderated remote usability test (𝑁 = 99). While participants generally expressed satisfaction with the system, they also misunderstood how to interpret the signature information displayed by the prototype. Specifically, signed documents were also trusted when the document was signed with irrelevant personal data of the signer. We conclude that such unwarranted trust forms a threat to usable digital signatures and requires attention by the usable security community.}}, author = {{Last, Yorick and Geels, Jorrit and Schraffenberger, Hanna}}, booktitle = {{Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA ’24)}}, location = {{Honululu, HI, USA}}, publisher = {{ACM}}, title = {{{Digital Dotted Lines: Design and Evaluation of a Prototype for Digitally Signing Documents Using Identity Wallets}}}, doi = {{10.1145/3613905.3650977}}, year = {{2024}}, } @inproceedings{56601, author = {{Franke, Patrick and Devasthali, Oorv and Schubert, Markus and Hampel, Uwe and Kenig, Eugeny Y.}}, location = {{Dresden}}, title = {{{Experimental determination of liquid-side mass transfer coefficients in sandwich packings in the preloading zone and above the loading point}}}, year = {{2024}}, } @inproceedings{52504, author = {{Franke, Patrick and Schubert, Markus and Hampel, Uwe and Kenig, Eugeny}}, title = {{{Experimentelle Untersuchung und Modellierung des flüssigseitigen Stofftransports in Anstaupackungen}}}, year = {{2024}}, } @article{56578, abstract = {{Approaches to modeling and evaluating teachers’ digital competencies are often based on the TPACK model. However, in-depth analyses of the conceptualization of the model show that the specificities of the so-called dual subject matter of vocational education are not sufficiently represented. This article provides insights into the development and testing of an instrument for teachers’ self-assessment of digital competencies in vocational education.The instrument is based on the structure of TPACK but is adapted in various ways to reflect the specificities of vocational education. The aim of this article is to transfer a conceptual extension oft he TPACK model into an initial instrument and to analyze it as part of an initial exploration. }}, author = {{Sänger, Niklas}}, journal = {{International Journal of Vocational Education Studies}}, keywords = {{Digital Competencies, Dual Subject Matter, Evaluation, TPACK, Vocational Teacher Training}}, number = {{2}}, pages = {{35--55}}, title = {{{Evaluation of Digital Competencies - Development of an Instrument for Vocational Teacher Training}}}, doi = {{https://doi.org/10.14361/ijves-2024-010203}}, volume = {{1}}, year = {{2024}}, }