@article{55751, abstract = {{Lateral leakage of TM modes in dielectric optical waveguides of rib/ridge or strip-loaded types can be fully suppressed, if the waveguide core is formed not through a strip that protrudes at one side (up) from the remaining lateral guiding slab, but through parallel strips on both sides (up and down), such that the resulting cross section becomes vertically symmetric. The fairly general arguments underlying the leakage suppression apply to TM modes of all orders simultaneously, and are independent of wavelength. These plus-shaped waveguides support strictly guided, non-leaky TM modes for, in principle, arbitrarily shallow etching.}}, author = {{Üstün, Necati and Farheen, Henna and Hammer, Manfred and Förstner, Jens}}, issn = {{0740-3224}}, journal = {{Journal of the Optical Society of America B}}, keywords = {{tet_topic_waveguide}}, number = {{9}}, pages = {{2077}}, publisher = {{Optica Publishing Group}}, title = {{{Symmetry-protected TM modes in rib-like, plus-shaped optical waveguides with shallow etching}}}, doi = {{10.1364/josab.528729}}, volume = {{41}}, year = {{2024}}, } @inproceedings{55895, author = {{Yigitbas, Enes and Dell'Aquila, Alessio}}, booktitle = {{Proceedings of the 8th International Conference on Computer-Human Interaction Research and Applications (CHIRA’24) }}, publisher = {{Springer}}, title = {{{An Examination of Pre-School Children's Usage Behavior of Augmented Reality: Traditional vs. AR-Assisted LEGO Building}}}, year = {{2024}}, } @inproceedings{55896, author = {{Neumayr, Thomas and Yigitbas, Enes and Augstein, Mirjam and Herder, Eelco and Stojko, Laura and Strecker, Jannis}}, booktitle = {{Proceedings of the Mensch & Computer (2024)}}, title = {{{ABIS 2024 – 28th International Workshop on Personalization and Recommendation}}}, year = {{2024}}, } @inproceedings{55897, author = {{Mazur, Janet and Yigitbas, Enes}}, booktitle = {{Proceedings of the 28th International Workshop on Personalization and Recommendation}}, title = {{{Augmented Reality-Assisted Multi-Robot Programming with Collision Warning }}}, year = {{2024}}, } @book{55898, author = {{Fazal-Baqaie, Masud and Linssen, Oliver and Volland, Alexander and Yigitbas, Enes and Engstler, Martin and Bertram, Martin and Hanser, Eckhart}}, title = {{{Projektmanagement Und Vorgehensmodelle 2024 – Neues Arbeiten in Projekten – Teamarbeit neu interpretiert}}}, year = {{2024}}, } @inproceedings{55268, author = {{Rose, Hendrik and Sharapova, Polina R. and Meier, Torsten}}, booktitle = {{Ultrafast Phenomena and Nanophotonics XXVIII}}, editor = {{Betz, Markus and Elezzabi, Abdulhakem Y.}}, publisher = {{SPIE}}, title = {{{Microscopic simulations of the dynamics of excitonic many-body correlations coupled to quantum light}}}, doi = {{10.1117/12.2690245}}, year = {{2024}}, } @article{55989, abstract = {{Phased arrays are vital in communication systems and have received significant interest in the field of optoelectronics and photonics, enabling a wide range of applications such as LiDAR, holography, wireless communication, etc. In this work, we present a blazed grating antenna that is optimized to have upward radiation efficiency as high as 80% with a compact footprint of 3.5 μm × 2 μm at an operational wavelength of 1.55 μm. Our numerical investigations demonstrate that this antenna in a 64 × 64 phased array configuration is capable of producing desired far-field radiation patterns. Additionally, our antenna possesses a low side lobe level of -9.7 dB and a negligible reflection efficiency of under 1%, making it an attractive candidate for integrated optical phased arrays.}}, author = {{Farheen, Henna and Joshi, Suraj and Scheytt, J. Christoph and Myroshnychenko, Viktor and Förstner, Jens}}, issn = {{2515-7647}}, journal = {{Journal of Physics: Photonics}}, keywords = {{tet_topic_opticalantenna}}, pages = {{045010}}, publisher = {{IOP Publishing}}, title = {{{An efficient compact blazed grating antenna for optical phased arrays}}}, doi = {{10.1088/2515-7647/ad6ed4}}, volume = {{6}}, 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}}, } @article{56193, abstract = {{Dielectric slab waveguides made of thin-film-lithium-niobate (TFLN) media are consid-ered, for operation in the linear regime. We outline and implement a largely analytic procedure forrigorous modal analysis of three-layer slabs with birefringent, anisotropic core. For Z-cut wave-guides, the slab eigenmode problem separates into uncoupled sets of scalar equations for TE andTM modes. Slabs in X-cut configuration support mostly mildly hybrid eigenmodes, with clear pre-dominant TE or TM polarization, and with effective indices that depend on the propagation directionof the modes, relative to the crystal axes. Strong hybridization can be observed for near degeneratemodes in singular configurations without vertical symmetry, or in symmetric slabs where two nearlydegenerate modes are of the same symmetry class. Dispersion curves for slab thickness and propa-gation angle are discussed, for slabs with oxide and air cover. }}, author = {{Hammer, Manfred and Farheen, Henna and Förstner, Jens}}, issn = {{2770-0208}}, journal = {{Optics Continuum}}, keywords = {{tet_topic_waveguide}}, pages = {{532822}}, publisher = {{Optica Publishing Group}}, title = {{{Guided modes of thin-film lithium niobate slabs}}}, doi = {{10.1364/optcon.532822}}, year = {{2024}}, } @inproceedings{56660, abstract = {{In a successful dialogue in general and a successful explanation in specific, partners need to account for both, the task model (what is relevant for the task) and the partner model (what one can con- tribute). The phenomenon of coupling between task and the partner model becomes especially interesting in the context of Human– Robot Interaction where humans have to deal with unknown ca- pabilities of the robot, which can momentarily be perceived when the robot is unable to contribute to the task. Following research on the path over manner prominence in an action [31–33], a robot ex- plained actions to a human by emphasizing two aspects – the path ("where" component) and the manner ("how" component). On criti- cal trials, the robot occasionally omitted one of these components where participants sought missing information for the path or the manner. Participants’ information-seeking and gaze behaviour were analysed. Analysis confirms the initial predictions for, a) task model (path over manner prominence), i.e., earlier information-seeking for path-missing than manner-missing trials, and b) partner model, i.e., while information-seeking is predominantly tied to the attention on the robot’s face, when robot fails to provide resolution, attention shifts more often towards its torso – a behavior likely to indicate an exploration of the robot’s capabilities. An individual-level anal- ysis further confirms that the intra-individual variation in the task model is partly influenced by the perceived capability of the robot.}}, author = {{Singh, Amit and Rohlfing, Katharina J.}}, booktitle = {{Proceedings of 26th ACM International Conference on Multimodal Interaction (ICMI 2024)}}, keywords = {{Explanation, Scaffolding, Eyetracking, Partner Model, HRI}}, location = {{San Jose, Costa Rica}}, title = {{{Coupling of Task and Partner Model: Investigating the Intra-Individual Variability in Gaze during Human–Robot Explanatory Dialogue}}}, doi = {{10.1145/3686215.3689202}}, year = {{2024}}, } @article{56264, author = {{Buhl, Heike M. and Fisher, Josephine Beryl and Rohlfing, Katharina}}, journal = {{Proceedings of the Annual Meeting of the Cognitive Science Society}}, title = {{{Changes in partner models – Effects of adaptivity in the course of explanations}}}, volume = {{46}}, year = {{2024}}, } @article{58218, author = {{Grisard, Stefan and Trifonov, Artur V. and Hahn, Thilo and Kuhn, Tilmann and Hordiichuk, Oleh and Kovalenko, Maksym V. and Yakovlev, Dmitri R. and Bayer, Manfred and Akimov, Ilya A. }}, journal = {{ACS Photonics}}, number = {{8}}, title = {{{Spin-Dependent Exciton–Exciton Interactions in a Mixed Lead Halide Perovskite Crystal}}}, doi = {{https://doi.org/10.1021/acsphotonics.4c00499}}, volume = {{11}}, year = {{2024}}, } @inproceedings{58503, author = {{Hambach, Dennis}}, location = {{Paderborn}}, title = {{{Technologieakzeptanz beim Einsatz von Handhelds zur Unterstützung des Hörverstehens. Eine Datendiskussion}}}, year = {{2024}}, } @misc{59601, abstract = {{Modern vehicles are becoming more connected and autonomous, and more software-defined in general. Such connectivity leads to security risks due to the increased attack surface for external intrusions. In addition, attacks can also lead to safety hazards as cars contain multiple safety-critical components. Therefore both safety and security must be considered in combination. In this whitepaper, we describe a tool-supported analysis method aligned with automotive standards to identify safety and security dependencies and automatically derive corresponding test cases. These test cases can be imported into the existing dSPACE tool chain to improve efficiency by reducing time-consuming manual work and susceptibility to errors. Thereby, our method brings together system design and testing phases to pave the way for an integrated safety and security-by-design life cycle in the automotive domain.}}, author = {{Trentinaglia, Roman and Fockel, Markus and Pukrop, Matthias and Schaeffer, Tobias}}, pages = {{5}}, publisher = {{dSPACE GmbH}}, title = {{{Whitepaper: From HARA and TARA to Risk-Based Safety and Security Dependency Testing}}}, year = {{2024}}, } @inproceedings{57578, author = {{Trentinaglia, Roman and Fockel, Markus and Pukrop, Matthias and Schaeffer, Tobias}}, booktitle = {{22th escar Europe : The World’s Leading Automotive Cyber Security Conference : Embedded Security in Cars (Dortmund, 19. - 20.11.2024)}}, title = {{{Automatically deriving test cases from safety-security dependencies}}}, doi = {{10.13154/294-12716}}, year = {{2024}}, } @article{54277, author = {{Herder, Eelco and Stojko, Laura and Strecker, Jannis and Neumayr, Thomas and Yigitbas, Enes and Augstein, Mirjam}}, journal = {{i-com - Journal of Interactive Media, Special Issue on “The Future of Human-Computer Interaction” }}, title = {{{Towards New Realities: Implications of Personalized Online Layers in Our Daily Lives}}}, year = {{2024}}, } @inproceedings{55917, abstract = {{This work takes steps towards situating the concepts relevant to explanation and understanding in explanatory interactions within the scope of Basic Formal Ontology. We introduce novel ontological accounts of understanding and explanation in BFO-terms, which foster a shared conceptualization of explanations and explainee's understanding during explainer-explainee interactions. This approach also enables the tracking of different aspects of understanding and explanation through cognitive profiling of various measurable aspects under the heading of process profile in BFO. Additionally, we differentiate between the private mental process of understanding and understanding displays. Finally, we characterize the relationship between understanding displays and explanations.}}, author = {{Booshehri, Meisam and Buschmeier, Hendrik and Cimiano, Philipp}}, booktitle = {{Proceedings of the 4th International Workshop on Data Meets Applied Ontologies in Explainable AI (DAO-XAI)}}, issn = {{1613-0073}}, location = {{Santiago de Compostela, Spain}}, publisher = {{International Association for Ontology and its Applications}}, title = {{{Towards a BFO-based ontology of understanding in explanatory interactions}}}, year = {{2024}}, } @inproceedings{61177, abstract = {{Human and model-generated texts can be distinguished by examining the magnitude of likelihood in language. However, it is becoming increasingly difficult as language model's capabilities of generating human-like texts keep evolving. This study provides a new perspective by using the relative likelihood values instead of absolute ones, and extracting useful features from the spectrum-view of likelihood for the human-model text detection task. We propose a detection procedure with two classification methods, supervised and heuristic-based, respectively, which results in competitive performances with previous zero-shot detection methods and a new state-of-the-art on short-text detection. Our method can also reveal subtle differences between human and model languages, which find theoretical roots in psycholinguistics studies.}}, author = {{Xu, Yang and Wang, Yu and An, Hao and Liu, Zhichen and Li, Yongyuan}}, booktitle = {{Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing}}, location = {{Miami, FL, USA}}, pages = {{10108–10121}}, publisher = {{ACL}}, title = {{{Detecting subtle differences between human and model languages using spectrum of relative likelihood}}}, doi = {{10.18653/v1/2024.emnlp-main.564}}, year = {{2024}}, } @inproceedings{56985, author = {{Buschmeier, Hendrik and Kopp, Stefan and Hassan, Teena}}, booktitle = {{Proceedings of the 26th ACM International Conference on Multimodal Interaction}}, location = {{San José, Costa Rica}}, pages = {{698--699}}, publisher = {{ACM}}, title = {{{Multimodal Co-Construction of Explanations with XAI Workshop}}}, doi = {{10.1145/3678957.3689205}}, year = {{2024}}, }