Objectif The central focus the research is to understand visual abstraction. Understanding means 1. to identify meaningful visual abstractions, 2. to assess their effectiveness for human perception and cognition and 3. to formalize them to be executable on a computational machinery. The outcome of the investigation is useful for designing visualizations for a given scenario or need, whose effectiveness can be quantified and thus the most understandable visualization design can be effortlessly determined.The science of visualization has already gained some understanding of structural visual abstraction. What has not been given sufficient scientific attention to, is advancing the understanding of procedural visual abstraction, in other words investigating visual means that convey what things do or how things work. This missing piece of knowledge would be very useful for visual depiction of processes and dynamics that are omnipresent in science, technology, but also in our everyday lives.Upcoming project will therefore investigate theoretical foundations for visualization of processes. Physiological processes that describe the complex machinery of biological life will be picked as a target scenario. The reason for this choice is two-fold. Firstly, these processes are immensely complex, are carried-out on various spatial and temporal levels simultaneously, and can be sufficiently understood only if all scales are considered. Secondly, physiological processes have been modeled as a result of intensive research in biology, systems biology, and biochemistry and are available in a form of digital data. The goal will be to visually communicate how physiological processes participate on life by considering the limitations of human perceptual and cognitive capabilities. Solving individual visualization problems of this target scenario, the research will provide first pieces of understanding of procedural visual abstractions that are generally applicable, beyond the biology domain. Champ scientifique natural sciencescomputer and information sciencescomputational science Programme(s) FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Thème(s) FP7-PEOPLE-2013-CIG - Marie-Curie Action: "Career Integration Grants" Appel à propositions FP7-PEOPLE-2013-CIG Voir d’autres projets de cet appel Régime de financement MC-CIG - Support for training and career development of researcher (CIG) Coordinateur TECHNISCHE UNIVERSITAET WIEN Contribution de l’UE € 100 000,00 Adresse KARLSPLATZ 13 1040 Wien Autriche Voir sur la carte Région Ostösterreich Wien Wien Type d’activité Higher or Secondary Education Establishments Contact administratif Werner Purgathofer (Prof.) Liens Contacter l’organisation Opens in new window Site web Opens in new window Coût total Aucune donnée