@article{53813,
  author       = {{Schmidt, Leonard and Yigitbas, Enes}},
  journal      = {{Proceedings of the ACM on Human-Computer Interaction, EICS}},
  number       = {{263}},
  pages        = {{31}},
  title        = {{{Development and Usability Evaluation of Transitional Cross-Reality Interfaces}}},
  volume       = {{8}},
  year         = {{2024}},
}

@inproceedings{53814,
  author       = {{Yigitbas, Enes and Schmidt, Maximilian and Bucchiarone, Antonio and Bassanelli, Simone and Engels, Gregor}},
  booktitle    = {{IEEE Global Engineering Education Conference 2024}},
  title        = {{{Gamification- and Virtual Reality-Based Learning Environment for UML Class Diagram Modeling}}},
  year         = {{2024}},
}

@inproceedings{53821,
  author       = {{Yigitbas, Enes and Kaltschmidt, Christian}},
  booktitle    = {{Proceedings of the 8th International Conference on Artificial Intelligence and Virtual Reality (AIVR’24)}},
  publisher    = {{Springer}},
  title        = {{{Effects of Human Avatar Representation in Virtual Reality on Inter-Brain Connections}}},
  year         = {{2024}},
}

@inproceedings{53818,
  author       = {{Krings, Sarah Claudia and Biermeier, Kai and Yigitbas, Enes}},
  booktitle    = {{Proceedings of the 10th International Working Conference on Human-Centered Software Engineering (HCSE'24)}},
  title        = {{{Interaction Techniques for Remote Maintenance in an AR Shared Environment}}},
  year         = {{2024}},
}

@inproceedings{53820,
  author       = {{Leichtweiß, Justus and Yigitbas, Enes}},
  booktitle    = {{Proceedings of the 12th International Conference on Serious Games and Applications for Health (SeGAH'24)}},
  title        = {{{An Exploratory Study of Fear-Inducing Factors in Virtual Reality Experiences}}},
  year         = {{2024}},
}

@inproceedings{53817,
  author       = {{Krois, Sebastian and Yigitbas, Enes}},
  booktitle    = {{Proceedings of the 10th International Working Conference on Human-Centered Software Engineering (HCSE'24)}},
  title        = {{{Prototyping Cross-Reality Escape Rooms}}},
  year         = {{2024}},
}

@inproceedings{53819,
  author       = {{Krings, Sarah Claudia and Yigitbas, Enes and Sauer, Stefan}},
  booktitle    = {{Proceedings of the 10th International Working Conference on Human-Centered Software Engineering (HCSE'24)}},
  title        = {{{Developing a VR Factory Walkthrough for Use in Schools}}},
  year         = {{2024}},
}

@inproceedings{53958,
  abstract     = {{To detect security vulnerabilities, static analysis tools need to be configured with security-relevant methods. Current approaches can automatically identify such methods using binary relevance machine learning approaches. However, they ignore dependencies among security-relevant methods, over-generalize and perform poorly in practice. Additionally, users have to nevertheless manually configure static analysis tools using the detected methods. Based on feedback from users and our observations, the excessive manual steps can often be tedious, error-prone and counter-intuitive.
 In this paper, we present Dev-Assist, an IntelliJ IDEA plugin that detects security-relevant methods using a multi-label machine learning approach that considers dependencies among labels. The plugin can automatically generate configurations for static analysis tools, run the static analysis, and show the results in IntelliJ IDEA. Our experiments reveal that Dev-Assist's machine learning approach has a higher F1-Measure than related approaches. Moreover, the plugin reduces and simplifies the manual effort required when configuring and using static analysis tools.}},
  author       = {{Johnson, Oshando and Piskachev, Goran and Krishnamurthy, Ranjith and Bodden, Eric}},
  booktitle    = {{Proceedings of the 46th International Conference on Software Engineering, IDE Workshop}},
  title        = {{{Detecting Security-Relevant Methods using Multi-label Machine Learning}}},
  doi          = {{10.48550/ARXIV.2403.07501}},
  year         = {{2024}},
}

@article{54093,
  author       = {{Pinske, Julien and Sperling, Jan}},
  issn         = {{2469-9926}},
  journal      = {{Physical Review A}},
  number       = {{5}},
  publisher    = {{American Physical Society (APS)}},
  title        = {{{Unbreakable and breakable quantum censorship}}},
  doi          = {{10.1103/physreva.109.052408}},
  volume       = {{109}},
  year         = {{2024}},
}

@article{54797,
  abstract     = {{Focusing on upcoming challenges in lightweight design, such as increasing emission targets or novel multimaterial connections, versatile applicable and environmentally friendly production technologies are crucial. In this context, mechanical joining technology clinching offers a fast and energy-efficient procedure for assembling sheet metals, being a proper alternative to established joining methods, such as spot welding. However, the design of clinch points is a challenge, which is partly supported by numerical or data-based approaches for optimal tool dimensions assuring proper joint characteristics. While this is usually done for an ideal environment, real joining processes are characterized by multiple inevitably varying parameters, e.g. of the material, which have a significant impact on the quality of clinch points. Therefore, this contribution addresses the current gap by analyzing the effect of parameter variations or uncertainties on the resulting joint characteristics and studying the impact of the nominal tool design. Thus, an efficient meta-model-based variation simulation procedure is proposed and used for analyzing the effect of different tool design configurations and variation scenarios. Based on the results, it was found that varying process parameters have a strong impact on the resulting joint characteristics, whereby the effect significantly depends on the nominal tool design. This reveals the potential for a robust tool design and implies that the nominal tool design and the tolerancing of parameters should be done simultaneously for a reliable virtual joining point design without extensive iterations and physical tests.}},
  author       = {{Zirngibl, C and Goetz, S and Wartzack, S}},
  issn         = {{0954-4089}},
  journal      = {{Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering}},
  publisher    = {{SAGE Publications}},
  title        = {{{Influence of process variations on clinch joint characteristics considering the effect of the nominal tool design}}},
  doi          = {{10.1177/09544089241259347}},
  year         = {{2024}},
}

@inproceedings{53069,
  author       = {{Banh, Ngoc Chi and Scharlau, Ingrid}},
  location     = {{Regensburg}},
  title        = {{{Effects of task difficulty on visual processing speed}}},
  year         = {{2024}},
}

@inproceedings{54889,
  abstract     = {{To reach the goal of zero traffic fatalities a year, one building block is the proposition to develop advanced assistance systems for vulnerable road users (VRUs) such as bicyclists. We focus on the dooring problem, i.e., car doors being opened inattentively in the way of an approaching cyclist. We extended our vehicle to everything (V2X) communication-enabled virtual cycling environment for dooring experiments. Our system extends toolkits that are widely used in the V2X research community. We showcase how such a system may be used to realize and evaluate distributed algorithms for VRU safety solutions such as dooring prevention.}},
  author       = {{Stratmann, Lukas and Banh, Ngoc Chi and Scharlau, Ingrid and Dressler, Falko}},
  booktitle    = {{ACM Symposium on Principles of Distributed Computing (PODC 2024), Advanced tools, programming languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems (ApPLIED 2024)}},
  publisher    = {{Association for Computing Machinery (ACM)}},
  title        = {{{Safety Assistance Systems for Bicyclists: Toward Empirical Studies of the Dooring Problem}}},
  doi          = {{10.1145/3663338.3665831}},
  year         = {{2024}},
}

@article{54911,
  author       = {{Heid, Stefan and Hanselle, Jonas Manuel and Fürnkranz, Johannes and Hüllermeier, Eyke}},
  issn         = {{0888-613X}},
  journal      = {{International Journal of Approximate Reasoning}},
  publisher    = {{Elsevier BV}},
  title        = {{{Learning decision catalogues for situated decision making: The case of scoring systems}}},
  doi          = {{10.1016/j.ijar.2024.109190}},
  volume       = {{171}},
  year         = {{2024}},
}

@inproceedings{53816,
  abstract     = {{Augmented (AR) and Virtual Reality (VR) technologies have been applied very broadly in the recent past. While prior work emphasizes the potential of these technologies in various application domains, the process of visual attention in and across the contexts of AR/VR environments is not exhaustively explored yet. By now, visual attention in AR/VR environments has majorly been studied by means of overt attention (i.e. saccadic eye movements), self-report, and process-related visual attention proxies (like reaction time). In this work, we analyze covert visual attention based on the (psychological) Theory of Visual Attention (TVA), which allows us to quantify theory-based interpretable properties of the visual attention process. For example, the TVA allows us to measure the overall processing speed. We instantiate this TVA-based framework with a 30-participant explorative within-subjects study. The results show a decisive difference in visual attention between Reality (i.e. the neutral condition) and Virtual Reality and a weak difference between Reality and Augmented Reality. We discuss the consequences of our findings and provide ideas for future studies.}},
  author       = {{Biermeier, Kai and Scharlau, Ingrid and Yigitbas, Enes}},
  booktitle    = {{Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA 2024)}},
  keywords     = {{Visual Attention, TVA, Cognitive Modelling, Bayesian Modelling, AR, VR}},
  publisher    = {{ACM}},
  title        = {{{Measuring Visual Attention Capacity Across xReality}}},
  doi          = {{10.1145/3652037.3652050}},
  year         = {{2024}},
}

@article{55140,
  author       = {{Yasmin, Farha and Sperling, Jan}},
  issn         = {{2469-9926}},
  journal      = {{Physical Review A}},
  number       = {{1}},
  publisher    = {{American Physical Society (APS)}},
  title        = {{{Entanglement-assisted quantum speedup: Beating local quantum speed limits}}},
  doi          = {{10.1103/physreva.110.012424}},
  volume       = {{110}},
  year         = {{2024}},
}

@article{55173,
  author       = {{Di Fidio, Christian and Ares, Laura and Sperling, Jan}},
  issn         = {{2469-9926}},
  journal      = {{Physical Review A}},
  number       = {{1}},
  publisher    = {{American Physical Society (APS)}},
  title        = {{{Quantum walks and entanglement in cavity networks}}},
  doi          = {{10.1103/physreva.110.013705}},
  volume       = {{110}},
  year         = {{2024}},
}

@article{55267,
  author       = {{Schäfer, F. and Trautmann, A. and Ngo, C. and Steiner, J. T. and Fuchs, C. and Volz, K. and Dobener, F. and Stein, M. and Meier, Torsten and Chatterjee, S.}},
  issn         = {{2469-9950}},
  journal      = {{Physical Review B}},
  number       = {{7}},
  publisher    = {{American Physical Society (APS)}},
  title        = {{{Optical Stark effect in type-II semiconductor heterostructures}}},
  doi          = {{10.1103/physrevb.109.075301}},
  volume       = {{109}},
  year         = {{2024}},
}

@unpublished{55154,
  abstract     = {{In human interaction, gestures serve various functions such as marking speech
rhythm, highlighting key elements, and supplementing information. These
gestures are also observed in explanatory contexts. However, the impact of
gestures on explanations provided by virtual agents remains underexplored. A
user study was carried out to investigate how different types of gestures
influence perceived interaction quality and listener understanding. This study
addresses the effect of gestures in explanation by developing an embodied
virtual explainer integrating both beat gestures and iconic gestures to enhance
its automatically generated verbal explanations. Our model combines beat
gestures generated by a learned speech-driven synthesis module with manually
captured iconic gestures, supporting the agent's verbal expressions about the
board game Quarto! as an explanation scenario. Findings indicate that neither
the use of iconic gestures alone nor their combination with beat gestures
outperforms the baseline or beat-only conditions in terms of understanding.
Nonetheless, compared to prior research, the embodied agent significantly
enhances understanding.}},
  author       = {{Robrecht, Amelie and Voss, Hendric and Gottschalk, Lisa and Kopp, Stefan}},
  booktitle    = {{arXiv:2406.12544}},
  title        = {{{Integrating Representational Gestures into Automatically Generated  Embodied Explanations and its Effects on Understanding and Interaction  Quality}}},
  year         = {{2024}},
}

@article{54668,
  abstract     = {{Samples of dielectric optical waveguides of rib or strip type in thin-film lithium niobate (TFLN) technology are characterized with respect to their optical loss using the Fabry-Pérot method. Attributing the losses mainly to sidewall roughness, we employ a simple perturbational procedure, based on rigorously computed mode profiles of idealized channels, to estimate the attenuation for waveguides with different cross sections. A single fit parameter suffices for an adequate modelling of the effect of the waveguide geometry on the loss levels.}},
  author       = {{Hammer, Manfred and Babel, Silia and Farheen, Henna and Padberg, Laura and Scheytt, J. Christoph and Silberhorn, Christine and Förstner, Jens}},
  issn         = {{1094-4087}},
  journal      = {{Optics Express}},
  keywords     = {{tet_topic_waveguide}},
  number       = {{13}},
  pages        = {{22878}},
  publisher    = {{Optica Publishing Group}},
  title        = {{{Estimation of losses caused by sidewall roughness in thin-film lithium niobate rib and strip waveguides}}},
  doi          = {{10.1364/oe.521766}},
  volume       = {{32}},
  year         = {{2024}},
}

@inproceedings{55338,
  abstract     = {{Metaphorical language is a pivotal element inthe realm of political framing. Existing workfrom linguistics and the social sciences providescompelling evidence regarding the distinctivenessof conceptual framing for politicalideology perspectives. However, the nature andutilization of metaphors and the effect on audiencesof different political ideologies withinpolitical discourses are hardly explored. Toenable research in this direction, in this workwe create a dataset, originally based on newseditorials and labeled with their persuasive effectson liberals and conservatives and extend itwith annotations pertaining to metaphorical usageof language. To that end, first, we identifyall single metaphors and composite metaphors.Secondly, we provide annotations of the sourceand target domains for each metaphor. As aresult, our corpus consists of 300 news editorialsannotated with spans of texts containingmetaphors and the corresponding domains ofwhich these metaphors draw from. Our analysisshows that liberal readers are affected bymetaphors, whereas conservatives are resistantto them. Both ideologies are affected differentlybased on the metaphor source and targetcategory. For example, liberals are affected bymetaphors in the Darkness {&} Light (e.g., death)source domains, where as the source domain ofNature affects conservatives more significantly.}},
  author       = {{Sengupta, Meghdut and El Baff, Roxanne and Alshomary, Milad and Wachsmuth, Henning}},
  booktitle    = {{Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)}},
  editor       = {{Duh, Kevin and Gomez, Helena and Bethard, Steven}},
  pages        = {{3621–3631}},
  publisher    = {{Association for Computational Linguistics}},
  title        = {{{Analyzing the Use of Metaphors in News Editorials for Political Framing}}},
  year         = {{2024}},
}

