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pro vyhledávání: '"A, Böhm"'
Particle velocimetry is essential in solid fuel combustion studies, however, the accurate detection and tracking of particles in high Particle Number Density (PND) combustion scenario remain challenging. The current study advances the machine-learnin
Externí odkaz:
http://arxiv.org/abs/2412.04091
Autor:
Graser, Stefan, Böhm, Stephan
Augmented Reality (AR) is an emerging technology that ranks among the top innovations in interactive media. With the emergence of new technologies, the question about the factors influencing user acceptance arises. Many research models on the user ac
Externí odkaz:
http://arxiv.org/abs/2411.13946
Questionnaires are a widely used tool for measuring the user experience (UX) of products. There exists a huge number of such questionnaires that contain different items (questions) and scales representing distinct aspects of UX, such as efficiency, l
Externí odkaz:
http://arxiv.org/abs/2411.13616
Measuring User Experience (UX) with standardized questionnaires is a widely used method. A questionnaire is based on different scales that represent UX factors and items. However, the questionnaires have no common ground concerning naming different f
Externí odkaz:
http://arxiv.org/abs/2411.13118
Due to technological development, Augmented Reality (AR) can be applied in different domains. However, innovative technologies refer to new interaction paradigms, thus creating a new experience for the user. This so-called User Experience (UX) is ess
Externí odkaz:
http://arxiv.org/abs/2411.12777
Measuring User Experience (UX) with questionnaires is essential for developing and improving products. However, no domain-specific standardized UX questionnaire exists for Augmented Reality (AR) in Corporate Training (CT). Thus, this study introduces
Externí odkaz:
http://arxiv.org/abs/2411.12288
User Experience (UX) Research covers various methods for gathering the users' subjective impressions of a product. For this, practitioners face different activities and tasks related to the research process. This includes processing a large amount of
Externí odkaz:
http://arxiv.org/abs/2411.12289
The paper presents a Graph Attention Convolutional Network (GACN) for flow reconstruction from very sparse data in time-varying geometries. The model incorporates a feature propagation algorithm as a preprocessing step to handle extremely sparse inpu
Externí odkaz:
http://arxiv.org/abs/2411.08764
Governments are increasingly employing funding for open source software (OSS) development as a policy lever to support the security of software supply chains, digital sovereignty, economic growth, and national competitiveness in science and innovatio
Externí odkaz:
http://arxiv.org/abs/2411.06027
Autor:
Brown, Eva Maxfield, Osborne, Cailean, Cihon, Peter, Böhmecke-Schwafert, Moritz, Xu, Kevin, Boehm, Mirko, Blind, Knut
This paper introduces a novel measure of software innovation based on open source software (OSS) development activity on GitHub. We examine the dependency growth and release complexity among $\sim$200,000 unique releases from 28,000 unique packages a
Externí odkaz:
http://arxiv.org/abs/2411.05087