Wo Künstliche Intelligenz im Innovationsprozess sinnvoll einsetzbar ist: Eine systematische Literaturanalyse
Klug, Katharina; Seidl, A.-K. (2024)
Münchner Beiträge zu Marketing & Management.
DOI: 10.13140/RG.2.2.26710.66882
Open Access
Artificial intelligence (AI) has become an integral part of business and is being used more and more frequently due to its versatile capabilities. The use of AI can be a decisive competitive advantage, especially for customer-centric and innovation-orientated business models. Traditionally, the innovation process has primarily been driven by marketing experts, engineers, and designers. At the same time, however, there is growing interest in the integration of generative AI in the innovation process. More and more companies are integrating conversational language models (LLMs) such as ChatGPT as problem-solving agents in their innovation process to effectively meet the growing demands of customers. With the growing interest of companies, research interest in the interface between AI and innovation is also growing. However, the field of research to date is still fragmented and study results are ori-entated as individual case studies in individual fields. To date, there has been a lack of a bundled approach that integrates and systematizes current studies. This article analyses how AI can be integrated into the phases of the innovation process. A systematic literature review sheds light on its potential and challenges within the innovation process. The results indicate that AI can be used in all phases of the innovation process, taking on the role of a supporter, an extension or an independent actor. Accordingly, AI can contribute to the reorganization of innovation processes in companies in different ways. Both opportunities and challenges for companies become apparent.
Dynamical Component Analysis (DyCA) Python Code
Stiehl, Annika; Uhl, Christian (2024)
Open Access
Introducing Artificial Neural Networtks to predict the dimensional and micro-geometrial deviations of additively manufactured parts
Vendittoli, Valentina; Polini, Wilma; Walter, Michael S. J.; Geißelsöder, Stefan (2024)
Procedia CIRP 129, 181-186.
DOI: 10.1016/j.procir.2024.10.032
Open Access Peer Reviewed
The dependencies between process parameters and the resulting geometrical accuracy of additively manufactured parts are usually highly non-linear and thus complex to investigate and mathematically quantify. Therefore, the application of artificial intelligence techniques is promising to generate mathematical models that reduce effort and increase the prediction quality. The overall goal is to establish a procedure to automatically determine the optimal settings of the manufacturing process parameters to guarantee the highest geometrical accuracy of parts in additive manufactured production. This paper presents the first step towards this fully automatic procedure – the training and evaluation of a mathematical model based on artificial neural networks to quantify the effects of varying process parameters of a material extrusion process on both macro- and micro-geometrical performances. Therefore, a dataset is established based on the Design of Experiment of an additively manufactured part made from Polylactic Acid filament. The dataset is then used to train an artificial neural network that predicts the dimensional and micro-geometrical deviations of the manufactured parts. Finally, the evaluation of the network's prediction quality and reliability indicate that it is possible to predict the parameters linked to resulting print quality with a mean absolute error from 0.0004 to 0.036.
China Association of Inventions (CAI) Award “Invention &für die Erfindung „BioSpalt“
Reimann, Hans-Achim; Häfner, Philipp (2024)
Verliehen durch die China Association of Inventions im Rahmen der iENA 2024 - Internationale Fachmesse Ideen • Erfindungen • Neuheiten.
Peer Reviewed
Nomination Award City Digital Skin Art
Wilson, Lilian; Napiwotzki, Tim (2024)
CDSA International Media Art Creativity Competition VOL.03.
Peer Reviewed
Special Award City Digital Skin Art für "Sync.Hive"
Dünkel, Luca Alessandro; Le, Kim (2024)
CDSA International Media Art Creativity Competition VOL.03.
Peer Reviewed
Hinweisgeberschutzgesetz - Praxishandbuch für interne Meldestellenbeauftragte
Fehr, Stefanie; Hüsener, Marco; Refenius, Kevin (2024)
Rehm Verlag, 1. Auflage.
2. Platz in der Kategorie "Bestes Campusradio Bayerns 2024" für den Wettbewerbsbeitrag: "Hungerstreik in Berlin" vom RabbitRadio
Harth, Lukas; Schaber, Leoni (2024)
Mach Dein Radio Star-2024.
Peer Reviewed
Innovative, environmentally friendly decoating of metallised plastic products using laser technology
Sover, Alexandru; Zink, Markus (2024)
28th Edition of International Conference (IMANEE 2024), Athen, October 2024.
Peer Reviewed
DyCA and DMD: Differences and Similarities in Theory and Application
Uhl, Christian; Stiehl, Annika; Weeger, Nicolas (2024)
SIAM Conference on Mathematics of Data Science (MDS24).
Peer Reviewed
Führen emotional programmierte Serviceroboter zu einem Mehrwert in Messegesprächen? Ergebnisse einer experimentellen Untersuchung unter Einsatz des sozialen Roboters Furhat
Piazza, Alexander; Riedmüller, Florian; Wild, Judith (2024)
HMD Praxis der Wirtschaftsinformatik 62, 613 - 632.
DOI: 10.1365/s40702-024-01117-9
Open Access Peer Reviewed
Nach der Corona-Pandemie haben Messeveranstaltungen als physische Interaktionsplattformen der Fachöffentlichkeit zu alter Stärke zurückgefunden. Die Digitalisierung erweitert die Angebote auf den Messen über Virtual Reality, Augmented Reality, Robotik und den Einsatz von künstlicher Intelligenz (KI). Bei der Programmierung von Messerobotern mit Unterstützung von KI stellt sich die Frage, wie emotional die Mensch-Roboter Interaktion gestaltet werden sollen. Aus der Forschung zur Robotik im Pflegebereich ist z. B. bekannt, dass emotional programmierte Roboter einen Zusatznutzen für die Anwender bringen. Aber gilt das auch für ein Messegespräch, in dem die emotional-menschliche Komponente Vertrauensfördernd wirket soll? Dazu wurde die folgende Forschungsfrage untersucht: „Inwiefern beeinflussen Emotionen als Teil der nonverbalen Interaktion im Rahmen der Mensch-Roboter-Interaktion die Akzeptanz von sozialen Robotern bei Messegesprächen?“ Zur Beantwortung der Forschungsfrage wurde ein Laborexperiment durchgeführt. Es wurde eine emotional und eine sachlich programmierte Version des Furhat-Roboters konzipiert, mit denen Probanden im Rahmen eines Messegesprächs interagiert haben. Nach Auswertung der Ergebnisse konnten kaum signifikanten Unterschiede in der Akzeptanz zwischen der emotionalen und der sachlichen Roboterversion festgestellt werden. Mögliche Investition in emotionale Programmierungselemente von Robotern im Messeeinsatz sollten nach diesen Ergebnissen hinterfragt werden.
Disentangling dynamic and stochastic modes in multivariate time series
Uhl, Christian; Stiehl, Annika; Weeger, Nicolas; Schlarb, Markus; Hüper, Knut (2024)
Frontiers in Applied Mathematics and Statistics 10.
DOI: 10.3389/fams.2024.1456635
Open Access Peer Reviewed
Zivilcourage verstehen – Warum sie schwerfällt und was wir dagegen tun können
Sasse, Julia (2024)
Landshuter Sonntagsvorlesung.
DyCA - Dynamical Component Analysis: Theory and Applications
Uhl, Christian (2024)
Physics Colloquium, Department of Pysics in partnership with Center of Complex Systems, .
Peer Reviewed
Addressing surface quality via seam alignment parametrization
Irimia, Alexandru Ionut; Ermolai, Vasile; Nagit, Gheorghe; Mihalache, Andrei Marius; Ripanu, Marius-Ionut; Stavarache, Răzvan Cosmin (2024)
Irimia, Alexandru Ionut; Ermolai, Vasile; Nagit, Gheorghe; Mihalache, Andrei Marius...
Innovative Manufacturing Engineering and Energy, Materials Research Proceedings, Athens, Greece, 41-48.
DOI: 10.21741/9781644903377-6
Open Access Peer Reviewed
XYZ calibration cube – A misleading tool for achieving print accuracy
Ermolai, Vasile; Merticaru, Vasile; Irimia, Alexandru Ionut; Mihalache, Andrei Marius; Sover, Alexandru; Mititelu, Nicolae-Răzvan ; Pista, Ionuț-Mădălin (2024)
Ermolai, Vasile; Merticaru, Vasile; Irimia, Alexandru Ionut; Mihalache, Andrei Marius...
Materials Research Proceedings, Athens, Greece 46, 23-24.
DOI: 10.21741/9781644903377-4
Open Access Peer Reviewed
Mechanical behavior of macroscopic interfaces for 3D printed multi-material samples made of dissimilar materials
Sover, Alexandru; Boca, Marius-Andrei; Ermolai, Vasile; Mihalache, Andrei Marius; Irimia, Alexandru Ionuț; Hrițuc, Adelina; Slătineanu, Laurențiu; Nagîț, Gheorghe; Stavarache, Răzvan Cosmin (2024)
Sover, Alexandru; Boca, Marius-Andrei; Ermolai, Vasile; Mihalache, Andrei Marius...
Mechanics & Industry - Advanced Approaches in Manufacturing Engineering and Technologies Design 25, 24.
DOI: 10.1051/meca/2024017
Open Access Peer Reviewed
Advancements in Wildfire Detection: Integrating Wind Field Simulation and Gas Dispersion Modeling
Vaidya, Haresh (2024)
Optimisation and Wildfire Conference, Luso Portugal.
Open Access Peer Reviewed
Bedarf an digitaler Lehrkräftefortbildung aus der Perspektive von Landesinstituten
Ortwig, Julia; Breins, B; Quarda, Ann-Kathrin; Gläser-Zikuda, Michaela; Kammerl, Rudolf; Bastian, Jasmin; Händel, Marion (2024)
Ortwig, Julia; Breins, B; Quarda, Ann-Kathrin; Gläser-Zikuda, Michaela; Kammerl, Rudolf...
lernen:digital-Tagung „Digitale Transformation für Schule und die Lehrkräftebildung gestalten“ in Potsdam.
Peer Reviewed
Ideation: Die Qualität von menschengenerierten und KI-generierten Ideen im Vergleich
Joosten, J.; Bilgram, Volker; Hahn, A; Klug, Katharina (2024)
Transfer - Zeitschrift für Kommunikation und Markenmanagement, 100-105.
Open Access Peer Reviewed
Bereich Forschung und Transfer (BFT)
Hochschule Ansbach
Betreuung der Publikationsseiten
Iris BoynyT 0981/4877-341
iris.boyny[at]hs-ansbach.de