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Andrei Koshelev

Publications and source records attributed to Andrei Koshelev.

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TUMSphere: Turning a University Curriculum into Playable VR Challenges

Traditional university orientation formats struggle to convey the intellectual substance of STEM curricula, particularly in disciplines where core competencies, such as algorithmic thinking and formal reasoning, are inherently abstract. This paper presents TUMSphere, a serious virtual reality (VR) application built as an interactive digital twin of the TUM Bildungscampus Heilbronn, in which six curriculum-mapped mini-games translate foundational Information Engineering topics into hands-on VR challenges. The mini-games, covering introductory programming, hardware debugging, code completion, graph traversal, shortest-path optimization, and relational database querying, follow a graduated difficulty progression that mirrors the real semesters' structure of the degree. We describe the pedagogical rationale, the VR interaction mechanics, and nine cross-cutting design considerations that guided development. A within-subjects pilot study (N = 18) using pre-/post-knowledge tests, the System Usability Scale, a User Engagement Scale adaptation, and the Simulator Sickness Questionnaire yielded a statistically significant knowledge gain (p < 0.001, r = 0.86), good usability (SUS M = 76.4), high engagement (M = 4.21/5), and negligible simulator sickness (SSQ M = 7.1). Task performance logs confirmed the intended difficulty gradient across mini-games. These results suggest that embedding authentic academic challenges in an explorable VR campus is a viable and extensible approach to gamified STEM outreach.

cs.HC

From Reality to Virtual Worlds: The Role of Photogrammetry in Game Development

Photogrammetry is transforming digital content creation by enabling the rapid conversion of real-world objects into highly detailed 3D models. This paper evaluates the role of RealityCapture, a GPU-accelerated photogrammetry tool, in game development of Virtual Reality (VR). We assess its efficiency, reconstruction accuracy, and integration with Unreal Engine, comparing its advantages and limitations against traditional modeling workflows. Additionally, we examined user preferences between designed 3D assets and photogrammetry-generated models. The results revealed that while photogrammetry enhances realism and interactivity, users slightly preferred manually designed models for small, manipulable elements because of the level of detail. However, from a developer perspective, RealityCapture significantly reduces development time while maintaining geometric precision and photorealistic textures. Despite its reliance on high-performance hardware, its automation, scalability, and seamless integration with real-time rendering engines make it a valuable tool for game developers and VR creators. Future improvements in AI-driven optimization and cloud-based processing could enhance accessibility, broadening its applications in gaming, cultural heritage preservation, and simulation.

cs.GR