@inproceedings{47049,
  abstract     = {{As technology advances, Unmanned Aerial Vehicles ( UAVs) have emerged as an innovative solution to a variety of problems in many fields. Automated control of UAVs is most common in large area operations, but they may also increase the versatility of smart home compositions by acting as a physical helper. For example, a voice- controlled UAV could act as an intelligent aerial assistant that can be seamlessly integrated into smart home systems. In this paper, we present a novel Augmented Reality (AR )-based UAV control that provides high-level control over a UAV by automating common UAV missions. In our work, we enable users to operate a small UAV hands-free using only a small set of voice commands. To help users identify the targets, and to understand the UAV ’s intentions, targets within the user’s field of vision are highlighted in an AR interface. We evaluate our approach in a user study (n=26) regarding usability, physical and mental demand, as well as a focus on the users’ preferences. Our study showed that the use of the proposed control was not only accepted, but some users stated that they would use such a system at home to help with some tasks at home
}},
  author       = {{Helmert, Robin and Hardes, Tobias and Yigitbas, Enes}},
  booktitle    = {{Proceedings of the ACM Symposium on Spatial User Interaction (SUI 2023)}},
  location     = {{ Sydney, Australia }},
  publisher    = {{ACM}},
  title        = {{{Design and Evaluation of an AR Voice-based Indoor UAV Assistant for Smart Home Scenarios}}},
  year         = {{2023}},
}

@phdthesis{51352,
  abstract     = {{Erfolg und Misserfolg eines Unternehmens werden maßgeblich durch getroffene Entscheidungen beeinflusst. Daher verlassen sich Entscheider oft auf Entscheidungsunterstützungssysteme, die durch Datensimulation, -optimierung und -visualisierung bei der Identifizierung von geeigneten Entscheidungen unterstützen. Für eine optimale Unterstützung muss ein Entscheidungsunterstützungssystem (EUS) jedoch auf den Entscheidungsprozess eines Entscheiders abgestimmt sein und verfügbare Daten, Optimierungsziele, persönliche Präferenzen sowie weitere Einflussfaktoren berücksichtigen. EUS-Entwickler können aufgrund der Komplexität und Volatilität von Geschäftsumgebungen allerdings nicht alle potenziellen Entscheidungsprozesse während des Entwurfs eines EUS vorhersehen, wodurch ein EUS einem Entscheider häufig nur unzureichende Anpassungsmöglichkeiten an den individuellen Entscheidungsprozess bietet. Die Einzelanfertigung eines EUS, das auf einen Entscheidungsprozess zugeschnitten ist, ist ein kosten- und zeitintensives Unterfangen aufgrund der begrenzten Verfügbarkeit von Softwareentwicklern oder Missverständnissen zwischen Entwicklern und Entscheidern während der Entwicklung. Daher geben sich Entscheider möglicherweise mit einem handelsüblichen EUS zufrieden, das nicht vollständig mit ihrem Entscheidungsprozess übereinstimmt, suboptimale Entscheidungen begünstigt und so den Unternehmenserfolg negativ beeinflusst. In dieser Arbeit wird ein Ansatz vorgeschlagen, der es Entscheidern ermöglicht, selbst maßgeschneiderte Entscheidungsunterstützungssysteme zu entwickeln und so die Diskrepanz zwischen benötigter und tatsächlicher Entscheidungsunterstützung zu vermeiden. Dazu stellen EUS-Entwickler einen Teil der EUS-Funktionalität als wiederverwendbare Software-Dienste bereit ...}},
  author       = {{Kirchhoff, Jonas}},
  publisher    = {{Universität Paderborn}},
  title        = {{{Decision Support Ecosystems: Assisted Low-Code Development of Tailored Decision Support Systems}}},
  doi          = {{10.17619/UNIPB/1-1845}},
  year         = {{2023}},
}

@article{48277,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Currently, the fused deposition modeling (FDM) process is the most common additive manufacturing technology. The principle of the FDM process is the strand wise deposition of molten thermoplastic polymers, by feeding a filament trough a heated nozzle. Due to the strand and layer wise deposition the cooling of the manufactured component is not uniform. This leads to dimensional deviations which may cause the component to be unusable for the desired application. In this paper, a method is described which is based on the shrinkage compensation through the adaption of every single raster line in components manufactured with the FDM process. The shrinkage compensation is based on a model resulting from a DOE which considers the main influencing factors on the shrinkage behavior of raster lines in the FDM process. An in‐house developed software analyzes the component and locally applies the shrinkage compensation with consideration of the boundary conditions, e.g., the position of the raster line in the component and the process parameters. Following, a validation using a simple geometry is conducted to show the effect of the presented adaptive scaling method.</jats:p>}},
  author       = {{Moritzer, Elmar and Hecker, Felix}},
  issn         = {{1022-1360}},
  journal      = {{Macromolecular Symposia}},
  keywords     = {{Materials Chemistry, Polymers and Plastics, Organic Chemistry, Condensed Matter Physics}},
  location     = {{Bukarest}},
  number       = {{1}},
  publisher    = {{Wiley}},
  title        = {{{Adaptive Scaling of Components in the Fused Deposition Modeling Process}}},
  doi          = {{10.1002/masy.202200181}},
  volume       = {{411}},
  year         = {{2023}},
}

@inproceedings{48357,
  author       = {{Moritzer, Elmar and Hecker, Felix and Knaup, Felix and Wächter, Julian}},
  booktitle    = {{Proceedings of the 37th International Conference of the Polymer Processing Society (PPS-37)}},
  location     = {{Fukuoka (Japan)}},
  pages        = {{170001--1 -- 170001--5}},
  publisher    = {{AIP Publishing}},
  title        = {{{Investigation of the Deposition Velocity Related Temperature Deviations for High Temperature Materials in the FDM Process}}},
  doi          = {{10.1063/5.0168548}},
  year         = {{2023}},
}

@article{51345,
  abstract     = {{<jats:p> The algorithmic imaginary as a theoretical concept has received increasing attention in recent years as it aims at users’ appropriation of algorithmic processes operating in opacity. But the concept originally only starts from the users’ point of view, while the processes on the platforms’ side are largely left out. In contrast, this paper argues that what is true for users is also valid for algorithmic processes and the designers behind. On the one hand, the algorithm imagines users’ future behavior via machine learning, which is supposed to predict all their future actions. On the other hand, the designers anticipate different actions that could potentially performed by users with every new implementation of features such as social media feeds. In order to bring into view this permanently reciprocal interplay coupled to the imaginary, in which not only the users are involved, I will argue for a more comprehensive and theoretically precise algorithmic imaginary referring to the theory of Cornelius Castoriadis. In such a perspective, an important contribution can be formulated for a theory of social media platforms that goes beyond praxeocentrism or structural determinism. </jats:p>}},
  author       = {{Schulz, Christian}},
  issn         = {{0163-4437}},
  journal      = {{Media, Culture & Society}},
  keywords     = {{Sociology and Political Science, Communication}},
  number       = {{3}},
  pages        = {{646--655}},
  publisher    = {{SAGE Publications}},
  title        = {{{A new algorithmic imaginary}}},
  doi          = {{10.1177/01634437221136014}},
  volume       = {{45}},
  year         = {{2023}},
}

@unpublished{51372,
  abstract     = {{Machine learning is frequently used in affective computing, but presents challenges due the opacity of state-of-the-art machine learning methods. Because of the impact affective machine learning systems may have on an individual's life, it is important that models be made transparent to detect and mitigate biased decision making. In this regard, affective machine learning could benefit from the recent advancements in explainable artificial intelligence (XAI) research. We perform a structured literature review to examine the use of interpretability in the context of affective machine learning. We focus on studies using audio, visual, or audiovisual data for model training and identified 29 research articles. Our findings show an emergence of the use of interpretability methods in the last five years. However, their use is currently limited regarding the range of methods used, the depth of evaluations, and the consideration of use-cases. We outline the main gaps in the research and provide recommendations for researchers that aim to implement interpretable methods for affective machine learning.}},
  author       = {{Johnson, David  and Hakobyan, Olya and Drimalla, Hanna}},
  title        = {{{Towards Interpretability in Audio and Visual Affective Machine Learning: A Review}}},
  year         = {{2023}},
}

@article{51371,
  abstract     = {{<jats:p>In this paper, we investigate the effect of distractions and hesitations as a scaffolding strategy. Recent research points to the potential beneficial effects of a speaker’s hesitations on the listeners’ comprehension of utterances, although results from studies on this issue indicate that humans do not make strategic use of them. The role of hesitations and their communicative function in human-human interaction is a much-discussed topic in current research. To better understand the underlying cognitive processes, we developed a human–robot interaction (HRI) setup that allows the measurement of the electroencephalogram (EEG) signals of a human participant while interacting with a robot. We thereby address the research question of whether we find effects on single-trial EEG based on the distraction and the corresponding robot’s hesitation scaffolding strategy. To carry out the experiments, we leverage our LabLinking method, which enables interdisciplinary joint research between remote labs. This study could not have been conducted without LabLinking, as the two involved labs needed to combine their individual expertise and equipment to achieve the goal together. The results of our study indicate that the EEG correlates in the distracted condition are different from the baseline condition without distractions. Furthermore, we could differentiate the EEG correlates of distraction with and without a hesitation scaffolding strategy. This proof-of-concept study shows that LabLinking makes it possible to conduct collaborative HRI studies in remote laboratories and lays the first foundation for more in-depth research into robotic scaffolding strategies.</jats:p>}},
  author       = {{Richter, Birte and Putze, Felix and Ivucic, Gabriel and Brandt, Mara and Schütze, Christian and Reisenhofer, Rafael and Wrede, Britta and Schultz, Tanja}},
  issn         = {{2414-4088}},
  journal      = {{Multimodal Technologies and Interaction}},
  keywords     = {{Computer Networks and Communications, Computer Science Applications, Human-Computer Interaction, Neuroscience (miscellaneous)}},
  number       = {{4}},
  publisher    = {{MDPI AG}},
  title        = {{{EEG Correlates of Distractions and Hesitations in Human–Robot Interaction: A LabLinking Pilot Study}}},
  doi          = {{10.3390/mti7040037}},
  volume       = {{7}},
  year         = {{2023}},
}

@inproceedings{51370,
  author       = {{Dyck, Leonie and Beierling, Helen and Helmert, Robin and Vollmer, Anna-Lisa}},
  booktitle    = {{Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction}},
  location     = {{Stockholm }},
  pages        = {{720--724}},
  publisher    = {{ACM}},
  title        = {{{Technical Transparency for Robot Navigation Through AR Visualizations}}},
  doi          = {{10.1145/3568294.3580181}},
  year         = {{2023}},
}

@article{51368,
  abstract     = {{Dealing with opaque algorithms, the frequent overlap between transparency and explainability produces seemingly unsolvable dilemmas, as the much-discussed trade-off between model performance and model transparency. Referring to Niklas Luhmann's notion of communication, the paper argues that explainability does not necessarily require transparency and proposes an alternative approach. Explanations as communicative processes do not imply any disclosure of thoughts or neural processes, but only reformulations that provide the partners with additional elements and enable them to understand (from their perspective) what has been done and why. Recent computational approaches aiming at post-hoc explainability reproduce what happens in communication, producing explanations of the working of algorithms that can be different from the processes of the algorithms.}},
  author       = {{Esposito, Elena }},
  journal      = {{Sociologica}},
  keywords     = {{Explainable AI, Transparency, Explanation, Communication, Sociological systems theory}},
  number       = {{3}},
  pages        = {{17--27}},
  title        = {{{Does Explainability Require Transparency?}}},
  doi          = {{10.6092/ISSN.1971-8853/15804}},
  volume       = {{16}},
  year         = {{2023}},
}

@article{51369,
  abstract     = {{This short introduction presents the symposium ‘Explaining Machines’. It locates the debate about Explainable AI in the history of the reflection about AI and outlines the issues discussed in the contributions.}},
  author       = {{Esposito, Elena}},
  journal      = {{Sociologica}},
  keywords     = {{Explainable AI, Inexplicability, Transparency, Explanation, Opacity, Contestability}},
  number       = {{3}},
  pages        = {{1--4}},
  title        = {{{Explaining Machines: Social Management of Incomprehensible Algorithms. Introduction}}},
  doi          = {{10.6092/ISSN.1971-8853/16265}},
  volume       = {{16}},
  year         = {{2023}},
}

@inproceedings{50289,
  author       = {{Bohl, Benjamin W. and Ried, Dennis}},
  booktitle    = {{Music Encoding Conference Proceedings 2022}},
  editor       = {{Weigl, David M.}},
  location     = {{Dalhousie University, Nova Scotia, Canada}},
  title        = {{{»Play it again, Sam« – Levels of Complexity in Encoding Performance Personnel}}},
  doi          = {{10.17613/XN3G-VS35}},
  year         = {{2023}},
}

@misc{51684,
  author       = {{Ried, Dennis and Capelle, Irmlind and Minetti, Elena}},
  publisher    = {{Henze-Digital}},
  title        = {{{HenDi-ODD v2.0.0}}},
  doi          = {{10.5281/ZENODO.10391194}},
  year         = {{2023}},
}

@misc{51680,
  author       = {{Ried, Dennis}},
  publisher    = {{Henze-Digital}},
  title        = {{{HenDi-WebApp v1.0.0}}},
  doi          = {{10.5281/ZENODO.8304639}},
  year         = {{2023}},
}

@misc{51683,
  author       = {{Ried, Dennis and Capelle, Irmlind and Minetti, Elena}},
  publisher    = {{Henze-Digital}},
  title        = {{{HenDi-ODD v1.0.0}}},
  doi          = {{10.5281/ZENODO.8304804}},
  year         = {{2023}},
}

@misc{51681,
  author       = {{Ried, Dennis}},
  publisher    = {{Henze-Digital}},
  title        = {{{HenDi-WebApp v2.0.0}}},
  doi          = {{10.5281/ZENODO.10390049}},
  year         = {{2023}},
}

@inproceedings{44849,
  author       = {{Rautenberg, Frederik and Kuhlmann, Michael and Ebbers, Janek and Wiechmann, Jana and Seebauer, Fritz and Wagner, Petra and Haeb-Umbach, Reinhold}},
  booktitle    = {{Fortschritte der Akustik - DAGA 2023}},
  location     = {{Hamburg}},
  pages        = {{1409--1412}},
  title        = {{{Speech Disentanglement for Analysis and Modification of Acoustic and Perceptual Speaker Characteristics}}},
  year         = {{2023}},
}

@misc{51678,
  abstract     = {{This is the data set of the project Henze-Digital. It contains project specific authority files (e.g., persons, organizations, places) and editions (e.g., letters, documents).}},
  author       = {{Capelle, Irmlind and Minetti, Elena and Ried, Dennis and Tumat, Antje}},
  publisher    = {{Henze-Digital}},
  title        = {{{HenDi-Data (data package) v2.0.0}}},
  doi          = {{10.5281/ZENODO.10391419}},
  year         = {{2023}},
}

@misc{51679,
  abstract     = {{This is the data set of the project Henze-Digital. It contains project specific authority files (e.g., persons, organizations, places) and editions (e.g., letters, documents).}},
  author       = {{Capelle, Irmlind and Minetti, Elena and Ried, Dennis and Tumat, Antje}},
  publisher    = {{Henze-Digital}},
  title        = {{{HenDi-Data (data package) v1.0.0}}},
  doi          = {{10.5281/ZENODO.8304688}},
  year         = {{2023}},
}

@inproceedings{51218,
  abstract     = {{Polymer composites represent the industry standard in injection molding for the production of plastic components with increased requirements in terms of heat resistance and stiffness. In the field of laser sintering (LS), these materials are less common so far. In order to extend the available material variety for the LS process, new ceramic-filled Polyamide 613 powders are investigated within the scope of this work. Here, the resulting properties from two different powder production methods are compared. One filled powder is produced by dry blending and the other powder with the same filler and filling ratio is produced by encapsulating the filler particles inside the polymer particles within the dissolution-precipitation process. It was found that encapsulating the filler particles can provide certain benefits for the processability, for example an improved powder flowability or better filler dispersion. However, encapsulating the filler also alters the thermal properties of the precipitated powder. }},
  author       = {{Kletetzka, Ivo and Neitzel, Fabian and Schmid, Hans-Joachim}},
  booktitle    = {{Proceedings of the 34th Annual International Solid Freeform Fabrication Symposium}},
  editor       = {{Beaman, Joseph}},
  keywords     = {{Additive Manufacturing, Laser Sintering, Filled Materials, Composites, Polyamide 613}},
  location     = {{Austin}},
  title        = {{{Assessing the Impact of the Powder Production Method on Ceramic-filled Polyamide Composites made by Laser Sintering}}},
  doi          = {{https://doi.org/10.26153/tsw/50931}},
  year         = {{2023}},
}

@inproceedings{46862,
  abstract     = {{The high flammability of components manufactured by laser sintering (LS) using standard polyamide 12 (PA12) powder still severely restricts their use in industries such as electronics, aviation, and transportation. A key factor for the further establishment of LS is the expansion of the material portfolio with, for example, refreshable and halogen-free flame-retardant (FR) powder materials. Accordingly, various halogen-free FRs are investigated in this work and evaluated with respect to their use in LS. First, their decomposition behavior and mode of action are examined. Subsequently, the additives are dry blended with PA12 to investigate properties relevant for LS, such as particle morphology, thermal behavior and melt viscosity. Afterwards, test specimens for UL94 vertical flame-retardancy tests are produced by processing the dry blends on an EOS P3 LS system. Finally, the process stability of the process-aged powder blends is investigated by again examining the thermal behavior and melt viscosity.}},
  author       = {{Neitzel, Fabian and Kletetzka, Ivo and Schmid, Hans-Joachim}},
  booktitle    = {{Proceedings of the 34th Annual International Solid Freeform Fabrication Symposium}},
  editor       = {{Beaman, Joseph}},
  keywords     = {{Additive Manufacturing, Laser Sintering, Flame Retardant, Polyamide 12}},
  location     = {{Austin}},
  title        = {{{Halogen-Free Flame Retardant Powder Materials for Laser Sintering: Evaluation and Process Stability Analysis}}},
  doi          = {{https://doi.org/10.26153/tsw/50926}},
  year         = {{2023}},
}