Rohr, A., & Jauch, C. (2019). Large Scale Test Bench for Emulating Grid Connected Wind Turbines of Different Sizes. 2019 IEEE 13th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG). http://doi.org/10.1109/CPE.2019.8862408
Thiesen, H., & Jauch, C. (2018). A dispatch methodology to secure power system inertia in future power systems. 17th Wind Integration Workshop. (Original work published Oktober 2018)
Wetzel, S., & Bertel, S. (2018). A Comparison of Mental and Physical Rotation Using Gaze-Based Measures. Spatial Cognition XI. Tübingen. Germany: Springer International Publishing.
Abstract
Over the past few years, a number of studies have reported on procedural similarities and differences between mental rotation and physical (i.e., manual) rotation of Shepard and Metzler-type stimuli. These similarities include comparable angular disparity effects and comparable final angular offsets in problem solving. This paper presents results from further comparisons based on gazed-derived measures obtained across the course of trials. In a within-subject design, participants solved the same tasks as mental and as physical rotation problems. We compare time courses of mean fixation duration and of saccade amplitude, and interpret these with respect to underlying mental processes and loads. The results point to additional specific procedural similarities and differences, which nicely complement the previous findings. The results are of additional, practical use for establishing how and when physical rotation can provide a useful proxy for mental rotation for purposes of process analysis, of ability assessment, and of training.
Wetzel, S., & Bertel, S. (2018). Extraction of Time Dependent Physical Rotation Strategies. 14th biannual conference of the German Society for Cognitive Science, GK. Tübingen. Germany.
Fuchkina, E., Schneider, S., Bertel, S., & Osintseva, I. (2018). Design Space Exploration Framework - A modular approach to flexibly explore large sets of design variants of parametric models within a single environment. Computing for a better tomorrow - the 36th eCAADe Conference. Lodz, Poland: Lodz University of Technology.
Abstract
Parametric modelling allows to relatively easily generate large sets of design variants (so called design space). Typically, a designer intuitively moves through this design space, resulting in one or several satisfying solutions. Due to the theoretically large number of variants that can be created with parametric models, obviously, there is a high probability that potentially good solutions could be missed, which is not at least because of human cognitive limitations. Consequently, it is necessary to develop a certain strategy to support designers in order to search for design solutions. Even though, various methods to systematically approach large data sets exist, the application of them in the design process is a special case, firstly, due to the existence of many non-specifiable and subjective dimensions (e.g. aesthetics) and secondly because of the multiple ways how designers actually search for solutions. This demands for a more flexible approach to design space exploration. This paper investigates how different methods can be combined to support the exploration of design spaces. Therefore, a conceptual framework with a modular architecture is proposed and its prototypical implementation is demonstrated.
Zander, S., Yepes-Serna, V., Montag, M., Wetzel, S., & Bertel, S. (2018). A gender issue? - Process measures while solving spatial tasks on mobile devices. EARLI SIG 27 Meeting (Online Measures of Education). Warszaw, Poland.
Montag, M., Bertel, S., de Koning, B. B., & Zander, S. (2018). The Powerbar - Effects of a ressource-restricting tool while solving spatial tasks on mobile devices. EARLI SIG 6 & 7 Meeting (Technology-Enhanced Learning). Bonn, Germany.
Azari, B., Bertel, S., & Wüthrich, C. A. (2018). Assessing objective image quality metrics for bidirectional texture functions. 25th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG 2018). Pilsen, Czech Republic.