@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}}, } @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}}, } @techreport{57521, author = {{Kundisch, Dennis}}, pages = {{30 -- 33}}, title = {{{Warum werden B2B-Online-Bewertungen geschrieben?}}}, volume = {{2}}, year = {{2024}}, } @book{47547, editor = {{Kalenborn, Axel and Fazal-Baqaie, Masud and Linssen, Oliver and Volland, Alexander and Yigitbas, Enes and Engstler, Martin and Bertram, Martin}}, publisher = {{Gesellschaft für Informatik e.V}}, title = {{{Projektmanagement Und Vorgehensmodelle 2023 - Nachhaltige IT-Projekte}}}, volume = {{Vol. P340}}, year = {{2023}}, } @inproceedings{48368, abstract = {{Low-code development platforms (LCDPs) recently sparked interest in both academia and industry, promising to speed up software development and make it accessible to users with little or no programming experience. Thus, the mass-development of software applications that are custom-made to the tasks, skills, and preferences of end users is potentially enabled. Although different LCDPs have been analysed with respect to their functionality and applied to exemplary case studies in recent work, there is a shortage of experience reports in which LCDPs are used to digitize business processes in small and medium manufacturing enterprises. In this paper, we therefore summarize our experience from supporting industry partners to identify business processes that are suitable for being implemented with low-code technologies and to select an LCDP that meets the requirements of the business process while aligning with the overall digitization strategy of the respective company. We also present the opportunities and challenges of the low-code approach as perceived by industry partners. In summary, the low-code approach should be seen as an essential factor for the digitization of business processes in small and medium manufacturing companies.}}, author = {{Weidmann, Nils and Kirchhoff, Jonas and Sauer, Stefan}}, publisher = {{Springer}}, title = {{{Digitizing Processes in Manufacturing Companies via Low-Code Software (to appear)}}}, year = {{2023}}, } @article{51266, abstract = {{Cooperative Driving requires ultra-reliable communications, and it is now clear that no single technology will ever be able to satisfy such stringent requirements, if only because active jamming can kill (almost) any wireless technology. Cooperative driving with multiple communication technologies which complement each other opens new spaces for research and development, but also poses several challenges. The work we present tackles the fallback and recovery mechanisms that the longitudinal controlling system of a platoon of vehicles can implement as a distributed system with multiple communication interfaces. We present a protocol and procedure to correctly compute the safe transition between different controlling algorithms, down to autonomous (or manual) driving when no communication is possible. To empower the study, we also develop a new version of PLEXE, which is an integral part of this contribution as the only Open Source, free simulation tool that enables the study of such systems with a modular approach, and that we deem offers the community the possibility of boosting research in this field. The results we present demonstrate the feasibility of safe fallback, but also highlight that such complex systems require careful design choices, as naïve approaches can lead to instabilities or even collisions, and that such design can only be done with appropriate in-silico experiments.}}, author = {{Segata, Michele and Lo Cigno, Renato and Hardes, Tobias and Heinovski, Julian and Schettler, Max and Bloessl, Bastian and Sommer, Christoph and Dressler, Falko}}, issn = {{1536-1233}}, journal = {{IEEE Transactions on Mobile Computing}}, number = {{8}}, pages = {{4792–4806}}, publisher = {{IEEE}}, title = {{{Multi-Technology Cooperative Driving: An Analysis Based on PLEXE}}}, doi = {{10.1109/TMC.2022.3154643}}, volume = {{22}}, year = {{2023}}, } @inproceedings{51264, abstract = {{Platooning is a promising application in the field of vehicular networks. It has the potential to improve traffic flow, but also road safety. However, unreliable communication has strong negative effects on platoon stability and, thus, safety on roads. To improve reliability, in this work, we propose using multi-hop communication for platooning using the Decode and Forward (DF) Full-Duplex Relaying (FDR) scheme together with beamforming. We use computer simulations to demonstrate that FDR latency has no observable negative effect on string stability or safety even while performing an emergency brake. We further show that this combined approach reaches a constant Packet Delivery Ratio (PDR) of 100 % even in situations with high interference and/or congestion, where traditional approaches fail.}}, author = {{Hardes, Tobias and Klingler, Florian and Sommer, Christoph}}, booktitle = {{IEEE Wireless Communications and Networking Conference 2023 (WCNC 2023)}}, location = {{Glasgow, Scotland, UK}}, publisher = {{IEEE}}, title = {{{Improving Platooning Safety with Full Duplex Relaying and Beamforming}}}, doi = {{10.1109/WCNC55385.2023.10118843}}, year = {{2023}}, } @article{51267, abstract = {{We study the suitability of Unmanned Aerial Vehicles (UAVs) as purely opportunistic airborne virtual network infrastructure to support urban wireless networks, specifically in two Vehicle-to-Everything (V2X) use cases: First, UAVs being used as relays for cooperative awareness applications; second, UAVs being used to coordinate channel access for platooning in urban areas. We do not require that these UAVs alter trajectory nor speed from those of their random, unrelated primary missions, so that these additional tasks can be executed with close-to-zero impact on the execution of their primary missions. Based on extensive computer simulations we show that, within a wide band of acceptable speeds, flight routes (up to a standard deviation of 300 m from the optimum) as well as altitudes, opportunistic relaying of transmissions via UAVs can yield a benefit to system performance that is on the same order of magnitude as that of optimally deployed UAVs. We further show that an opportunistic channel access control can reduce the total number of packet collisions by approx. 86 % compared to a scenario without any UAVs. Moreover, much of the reduction in impact due to suboptimal missions can be recovered simply by moderately increasing the number of UAVs.}}, author = {{Hardes, Tobias and Sommer, Christoph}}, issn = {{0140-3664}}, journal = {{Elsevier Computer Communications}}, publisher = {{Elsevier}}, title = {{{Opportunistic Airborne Virtual Network Infrastructure for Urban Wireless Networks}}}, doi = {{10.1016/j.comcom.2023.06.003}}, year = {{2023}}, } @inproceedings{51265, abstract = {{Many exciting future research topics in the field of Cooperative Autonomous Vehicles (CAVs) require the simulation of both connectivity and automation components. However, existing simulation tools focus on only one of these two aspects while making idealistic assumptions about the other. In this work, we motivate the use of established libraries such as gRPC to couple existing independent simulation tools tailored to either connectivity or automation, and demonstrate the feasibility of such an approach. We also describe an Open Source reference implementation coupling CARLA and Veins.}}, author = {{Hardes, Tobias and Turcanu, Ion and Sommer, Christoph}}, booktitle = {{14th IEEE Vehicular Networking Conference (VNC 2023)}}, issn = {{2157-9865}}, location = {{Istanbul, Turkey}}, publisher = {{IEEE}}, title = {{{Poster: A Case for Heterogenous Co-Simulation of Cooperative and Autonomous Driving}}}, doi = {{10.1109/VNC57357.2023.10136319}}, year = {{2023}}, } @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{34402, author = {{Yigitbas, Enes and Klauke, Jonas and Gottschalk, Sebastian and Engels, Gregor}}, journal = {{Journal on Computer Languages (COLA) }}, publisher = {{Elsevier}}, title = {{{End-User Development of Interactive Web-Based Virtual Reality Scenes}}}, year = {{2023}}, } @inproceedings{33511, author = {{Yigitbas, Enes and Engels, Gregor}}, booktitle = {{56th Hawaii International Conference on System Science (HICSS 2023) }}, publisher = {{ScholarSpace}}, title = {{{Enhancing Robot Programming through Digital Twin and Augmented Reality }}}, year = {{2023}}, } @inproceedings{34401, author = {{Yigitbas, Enes and Krois, Sebastian and Gottschalk, Sebastian and Engels, Gregor}}, booktitle = {{Proceedings of the 7th International Conference on Human Computer Interaction Theory and Applications (HUCAPP'23) }}, title = {{{Towards Enhanced Guiding Mechanisms in VR Training through Process Mining}}}, year = {{2023}}, } @inproceedings{43424, author = {{Yigitbas, Enes and Nowosad, Alexander and Engels, Gregor}}, booktitle = {{Proceedings of the 19th IFIP TC13 International Conference on Human-Computer Interaction (INTERACT 2023)}}, publisher = {{Springer}}, title = {{{Supporting Construction and Architectural Visualization through BIM and AR/VR: A Systematic Literature Review}}}, year = {{2023}}, } @techreport{46491, author = {{Kundisch, Dennis}}, pages = {{12--13}}, title = {{{#DIGITALENTS - Digital Talents Programm geht in die zweite Runde}}}, volume = {{1}}, year = {{2023}}, } @inproceedings{47050, author = {{Wecker, Daniel and Yigitbas, Enes}}, booktitle = {{Proceedings of the ACM Symposium on Spatial User Interaction (SUI 2023)}}, publisher = {{ACM}}, title = {{{Minimizing Eye Movements and Distractions in Head-Mounted Augmented Reality through Eye-Gaze Adaptiveness}}}, year = {{2023}}, } @article{47051, author = {{Yigitbas, Enes and Schmidt, Maximilian and Bucchiarone, Antonio and Gottschalk, Sebastian and Engels, Gregor}}, journal = {{Science of Computer Programming}}, publisher = {{Elsevier}}, title = {{{GaMoVR: Gamification-Based UML Learning Environment in Virtual Reality}}}, year = {{2023}}, } @inproceedings{47057, author = {{Schmidt, Leonard and Yigitbas, Enes}}, booktitle = {{Proceedings of the 27th International Workshop on Personalization and Recommendation}}, publisher = {{GI DL}}, title = {{{Transitional Cross Reality Interfaces for Spatially Demanding Search and Collect Tasks }}}, year = {{2023}}, }