Building Software in a World of Digital Twins
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Item Procedural Generation of 3D-Buildings for Game Engines Based on Existing Asset Kits(2025-01-07) Strodick, Kathleen; Schattkowsky, Tim; Albertz, StefanThe manual creation of 3D-Levels for game engines like Unity and Unreal still requires significant time and skill. For some applications, like certain computer games or background scenes in virtual production, huge scenes (e.g., whole cities) need to be efficiently created using existing modular assets. Consequently the procedural generation of elements for such scenes becomes of increasing importance to manage production time and costs. For this, we present a multi-level rule-based approach for the procedural generation of buildings from existing modular asset packs which can be found in the respective asset stores or on specialized websites such as Kitbash3D. Our approach is based on a simple connector-based technique for the composition of complete 3D objects like buildings from the elements of a an kit, which is complemented by composition rules ensuring the valid composition of the objects at the domain and kit level. Thus, for the application of a new asset kit in a known domain, only the kit-level rules need to be defined and the kit itself must be prepared.Item Creating Virtual Reality Environments at the Edge of the Metaverse(2025-01-07) Sadeghi, MostafaIn this study, the process of creating Virtual Reality (VR) environments is described. Following an exploratory approach, six senior VR developers are interviewed, interview data is analyzed guided by VR environment characteristics extracted from the literature, and a process model is synthesized which guides how different types of VR environments including single-user VR applications, multi-user VR applications, and Metaverse-platforms-based VR environments can be created. Then, reflecting on two real-world cases, the usability of the process model in practice is demonstrated. This study contributes to the IS literature by systematically describing the VR creation workflow.Item Integration of Large Language Models and Digital Twins in the Public Sector(2025-01-07) Sultanow, Eldar; Chircu, Alina; Czarnecki , Christian; Seßler, Matthias; Grum, MarcusThe potential of large language models (LLMs) for generative artificial intelligence that underpin chatbots like ChatGPT, Gemini, or Neuroflash to improve both personal and organizational work processes is enormous. In this paper, we discuss how LLMs could be integrated with another emerging digital technology concept, digital twins, to optimize and automate processes in the public sector. This integration can allow for accurate and detailed modeling of complex systems and interactions within society, and enhance decision-making, policy development and strategic planning through simulation and automation.Item Introduction to the Minitrack on Building Software in a World of Digital Twins(2025-01-07) Rettberg, Achim; Engels, Gregor; Henkler, Stefan; Schattkowsky, Tim