TY - JOUR A1 - Rizun, Nina A1 - Bordean, Ovidiu Niculae A1 - Nikiforova, Anastasija A1 - Beleiu, Ioana Natalia A1 - Revina, Aleksandra T1 - Generative AI in higher education: Ethical and behavioral factors influencing students’ intentions to use ChatGPT JF - Computers and Education Open Y1 - 2026 U6 - https://doi.org/10.1016/j.caeo.2026.100336 VL - 10 SP - 1 EP - 16 PB - Elsevier ER - TY - CHAP A1 - Simmering, Veronika A1 - Pfeiffer, Thies A1 - Kindsmüller, Martin Christof T1 - The Impact of Embodiment and Output Modality on Learning with Conversational Agents in VR T2 - GI Workshop 2025 on Virtual and Augmented Reality : VR/AR 2025, Lecture Notes in Informatics (LNI), Gesellschaft für Informatik, Bonn 2025 N2 - In Virtual Reality (VR) learning applications, the integration of pedagogical agents is particularly promising, as they function as a virtual social support. With the recent developments in Large Language Models (LLMs), conversational language models are now available that enable natural language interaction in a VR environment. We evaluated four possible designs for LLM-based agents (푛 = 21) in an aircraft-engine training. Focusing on the primary questions when bringing LLM-based agents into VR: whether to use text or speech and whether to embody the conversational agent in 3D or not. Pre- and post-tests were used to measure retention and questionnaires were used to measure the User Experience (UX) of different design variants. Contrary to our hypotheses, retention was higher when using a non-embodied design compared to an embodied design. The output modality did not have a significant impact on the learning success, but it did have an impact on the UX. Y1 - 2025 U6 - https://doi.org/10.18420/vrar2025_12 SN - 2944-7682 SP - 235 EP - 254 PB - Gesellschaft für Informatik ER - TY - CHAP A1 - Querner, Erich A1 - Ewerling, Philipp A1 - Kindsmüller, Martin Christof T1 - Setting the Stage for Collaboration: A Multi-View Table for Touch and Tangible Map Interaction T2 - Mensch und Computer 2025 - Workshopband : MCI-WS11: 18th Workshop “Be-greifbare Interaktion”. Chemnitz. 31. August - 03. September 2025 N2 - We present a multi-user map application based on a novel multiview concept that enables simultaneous and independent interaction with shared geospatial content. Each user operates a personal View Finder and Focus View, color-coded for clarity, while a shared, immutable Context View provides a common reference frame. The system supports both touch-based and tangible interaction techniques, including gesture control, virtual joysticks, and physical objects. Users can flexibly arrange their workspaces on a multi-touch table, supporting both individual exploration and collaborative tasks. Y1 - 2025 U6 - https://doi.org/10.18420/muc2025-mci-demo-318 SP - 1 EP - 4 PB - Gesellschaft für Informatik ER - TY - INPR A1 - Markgraf, Klaus A1 - Müller, Katja A1 - Henkel, Clara A1 - Flassig, Robert A1 - Janke, Christian A1 - Flassig, Peter T1 - Application of Explainable Artificial Intelligence (XAI) in Combination with Bootstrap to Improve Processes in Model-Based Aero-Engine Development N2 - In aerospace engineering, data-driven surrogate models are increasingly employed to mitigate the computational and temporal costs of simulations, numerical analyses, and experiments. Two major challenges accompany this trend. First, the training of surrogate models often requires a sufficient amount of data, the determination of which is inherently difficult. Second, these models often exhibit high complexity, limiting both the traceability of their outputs and the extraction of useful insights. Explainable Artificial Intelligence (XAI) methods have therefore emerged as promising tools to enhance the interpretability, explainability, and transparency of such models. In this work, a combination of the established Shapley Additive Explanations (SHAP) approach with a bootstrap-based method is investigated. The proposed framework provides insights into the contribution of individual features and enables an assessment of data sufficiency with respect to surrogate model performance. Building upon these findings, the Bootstrap-Informed Feature Importance (BIFI) method is proposed. BIFI offers a model-agnostic, robust identification of relevant features.The method is analyzed in the context of Design of Experiments (DOE) processes used for surrogate model construction. Evaluation on four synthetic datasets of increasing complexity, as well as a dataset from aero-engine development, demonstrates that BIFI-based DOEs can improve surrogate model quality measured in terms of R and MSE by up to 90%. Consequently, the proposed method enables more efficient utilization of simulations, computations, and experiments while reducing the required number of samples. Y1 - 2026 U6 - https://doi.org/10.21203/rs.3.rs-8590595/v1 SP - 1 EP - 23 ER - TY - CHAP A1 - Querner, Erich A1 - Ewerling, Philipp A1 - Kindsmüller, Martin Christof T1 - Touch gets it done, tangibles make it fun? Balancing objective accuracy and user experience T2 - Mensch und Computer 2025 - Workshopband : MCI-WS11: 18th Workshop “Be-greifbare Interaktion”. Chemnitz. 31. August - 03. September 2025 N2 - This study compares Tangible User Interfaces (TUIs) with conventional touch interfaces (CTIs) on multi-touch tables for exploratory multi-user map applications. We developed a prototype that enables multiple users to interact with map content simultaneously and independently. Four interaction methods were implemented and evaluated: gesture-based touch control, widget-based touch joystick control, and two tangible interaction variants (a joystick and car-steering metaphor). A user study with 15 participants was conducted in which users navigated predefined routes with varying difficulty. We collected both objective performance measurements and subjective user assessments. While touch-based methods yielded higher accuracy in objective metrics, TUI-based interactions were rated significantly better by participants in terms of user experience. Notably, the car-steering tangible control was particularly well-received, highlighting how physical, playful interaction can enhance usability despite lower accuracy. These findings contribute to our understanding of how different interaction paradigms support collaborative exploration on multi-touch surfaces. Y1 - 2025 U6 - https://doi.org/https://doi.org/10.18420/muc2025-mci-ws11-164 SP - 1 EP - 6 PB - Gesellschaft für Informatik ER - TY - CHAP A1 - Kristal, Samuel A1 - Naguleswaran, Piruntha T1 - Der Einfluss von Rebranding auf den Markenwert im Kontext von künstlicher Intelligenz: Eine bibliometrisch-systematische Analyse T2 - Handbuch Innovatives Marketing N2 - In Zeiten rasanter technologischer Entwicklungen stellt sich die Frage, welchen Einfluss Rebranding auf den Markenwert hat, insbesondere im Kontext künstlicher Intelligenz. Während Rebranding traditionell als strategische Maßnahme zur Anpassung an veränderte Marktbedingungen verstanden wurde, eröffnet die Integration von KI neue Möglichkeiten der Automatisierung, Personalisierung und datengetriebenen Entscheidungsfindung. Der vorliegende Beitrag beleuchtet die Rolle von KI im Rebranding-Prozess und untersucht, inwiefern KI-gestützte und menschliche Strategien den Markenwert beeinflussen. Durch eine bibliometrische und systematische Literaturanalyse wird der aktuelle Forschungsstand aufgearbeitet, zentrale Mechanismen identifiziert und zukünftiger Forschungsbedarf abgeleitet. Abschließend werden Implikationen für Wissenschaft und Praxis diskutiert, um eine fundierte Grundlage für den strategischen Einsatz von KI im Markenmanagement zu schaffen. Y1 - 2026 U6 - https://doi.org/10.1007/978-3-658-46709-8_99-1 SP - 1 EP - 19 PB - Springer CY - Wiesbaden ER - TY - JOUR A1 - Dickerson, Ashton L. A1 - Andreas, Jechow A1 - Nößler, Michelle A1 - Walles, Tim J. A1 - Berger, Stella A. A1 - Hölker, Franz A1 - Nejstgaard, Jens C. T1 - High-resolution in situ imaging reveals size-specific moonlight responses in zooplankton diel vertical migration JF - Scientific Reports N2 - Light is the primary cue driving zooplankton diel vertical migration (DVM), a strategy that balances predation risk with resource access. However, DVM is often oversimplified, with limited consideration of how light-driven risks and resource needs vary across taxa and life stages. This simplification is partly due to constraints on collecting high-resolution, size-resolved data —especially at night, when subtle shifts in illumination reshape nocturnal risk landscapes. To overcome these limitations, we deployed a high-resolution in situ modular Deep-focus Plankton Imager and an image-recognition approach to quantify fine scale DVM and body sizes of Cladocerans and Copepods in Lake Stechlin, Germany. Data was collected from day into night and across moonrise and was compared with environmental data from vertical profiling sondes. Typical DVM patterns emerged, with deeper daytime distributions, however, moonlight introduced additional behavioural complexity: larger individuals avoided illuminated layers, likely managing predation risk, while smaller individuals moved into these layers, possibly exploiting foraging opportunities and reduced risk. These light-mediated shifts were further shaped by ecological conditions; copepods tracked food-rich layers regardless of light levels at night, while cladocerans showed light-dependent responses to both temperature and food, such that light caused them to avoid otherwise favourable (warm, food-rich) layers. Our approach provides new insight into how zooplankton navigate nocturnal lightscapes, revealing size- and taxon-specific strategies. By establishing size-dependent responses to natural moonlight, this work provides a crucial baseline for predicting how artificial light at night may restructure zooplankton communities and destabilize freshwater food webs. Y1 - 2026 U6 - https://doi.org/10.1038/s41598-026-36105-0 VL - 16 IS - 1 SP - 1 EP - 14 PB - Nature ER - TY - BOOK A1 - Kraska, Martin T1 - Technische Mechanik mit SMath Studio N2 - Dieses Lehrbuch führt am Beispiel der Technischen Mechanik in die Nutzung der Mathematiksoftware SMath Studio für die Durchführung und Dokumentation technischer Berechnungen ein. Das für Privatanwender kostenlose SMath ist, ähnlich wie Mathcad, eine leistungsfähige Alternative zu Papier, Bleistift und Taschenrechner oder auch zu den bekannten Tabellenkalkulationsprogrammen. Das Buch nimmt Einsteiger an die Hand, behandelt aber auch Erweiterungen wie numerische Methoden und Computeralgebra. Mit Beispielen aus Statik, Festigkeitslehre und Dynamik wird das typische Themenspektrum der Technischen Mechanik in technischen Studiengängen, insbesondere im Maschinenbau, abgedeckt. Y1 - SN - 978-3-658-50591-2 U6 - https://doi.org/10.1007/978-3-658-50592-9 PB - Springer CY - Wiesbaden ER - TY - CHAP A1 - Daupayev, Nursultan A1 - Reber, Paul A1 - Bendyk, Ricky A1 - Engel, Christian A1 - Hirsch, Sören T1 - Data Reduction for Energy-Constrained Sensors via Event-Aware Sampling T2 - Konferenz: 2025 IEEE SENSORS, Vancouver, BC, Canada, 2025 N2 - Environmental monitoring plays a crucial role in analyzing environmental parameters and detecting anomalies. However, sensor systems work continuously, which results in constant energy consumption and data redundancy, especially for sensors with limited computing power and memory. In addition, installing and maintaining sensors in remote places creates additional challenges. An adaptive environmental sensing approach is developed to reduce data redundancy and energy consumption. A custom-designed sensor based on PIC16LF19156 microcontroller measures CO2, humidity and temperature simultaneously. The sensor is connected to a Raspberry Pi, where a signal processing algorithm is executed, aimed at reducing data redundancy, thereby increasing the energy efficiency of the system. The algorithm includes the discrete wavelet transform (DWT) to extract spectral features from the signals. A machine learning model trained on previous data estimates the daily variability of the signal and saves data labeled as SAVE (deviations) or SKIP (consistency). As a result, only the relevant intervals showing significant fluctuations are retained. The effectiveness of the proposed approach was evaluated by reconstructing the compressed signals and comparing them with the original data based on RMSE and MAE metrics, which confirms the insignificant loss of information. Y1 - 2025 SN - 979-8-3315-4467-6 U6 - https://doi.org/10.1109/SENSORS59705.2025.11330656 SN - 2168-9229 SP - 1 EP - 4 PB - IEEE ER - TY - JOUR A1 - Vollmer, Michael T1 - Optical Phenomena in the Atmosphere JF - Encyclopedia of Atmospheric Sciences N2 - Following a brief description of the atmosphere and spectra of the Sun as dominant daytime light source, the most common optical phenomena within the troposphere are discussed, which are due to scattering of radiation with the constituents of the atmosphere. At first mirages, rainbows, coronas, iridescence, glories and halos are explained. Then light scattering phenomena which give rise to sunset colors, blue and colorful skies are presented as well as related phenomena like blue mountains, white clouds, green flashes and visual ranges. The review ends with a short survey of other less easily observable optical phenomena of the atmosphere and a very detailed bibliography. Y1 - 2025 U6 - https://doi.org/10.1016/B978-0-323-96026-7.00177-6 IS - 2 SP - 285 EP - 306 PB - academic press ET - 3 ER -