@inproceedings{Krohn, author = {Krohn, Matthias}, title = {Design mit digitalen Medien : das Projekt "Human Touch"}, series = {Images of a conference}, booktitle = {Images of a conference}, address = {Potsdam}, organization = {Fachhochschule Potsdam}, isbn = {3-928710-27-3}, pages = {204 -- 209}, abstract = {Designkonferenz Potsdam 23./24.Juni 1995}, subject = {Design}, language = {de} } @inproceedings{Daessler, author = {D{\"a}ßler, Rolf}, title = {Visualisierung von Rechercheergebnissen}, series = {Weiter auf dem Weg zur Virtuellen Bibliothek : Praxis, Projekte, Perspektiven}, booktitle = {Weiter auf dem Weg zur Virtuellen Bibliothek : Praxis, Projekte, Perspektiven}, edition = {2. erw.}, address = {Dortmund}, isbn = {3-89227-046-5}, pages = {113 -- 124}, subject = {Visualisierung}, language = {de} } @incollection{HenningsMillonig, author = {Hennings, Ralf-Dirk and Millonig, Harald}, title = {Beratungszentrum f{\"u}r Imaging-Technologien und Bilddatenbanken}, series = {Informatik: Herausforderungen f{\"u}r Wirtschaft und Wissenschaft}, booktitle = {Informatik: Herausforderungen f{\"u}r Wirtschaft und Wissenschaft}, number = {6}, editor = {P{\"o}tschke, Dieter}, pages = {140 -- 143}, subject = {Bilddatenbank}, language = {de} } @article{DaesslerKnauerLochteretal., author = {D{\"a}ßler, Rolf and Knauer, Sven and Lochter, Frank and Palm, Hartmut}, title = {Im Flug}, series = {ix: Multiuser Multitasking Magazin}, journal = {ix: Multiuser Multitasking Magazin}, number = {11}, publisher = {Heise}, address = {Hannover}, issn = {0935-9680}, pages = {134 -- 143}, subject = {Information Retrieval}, language = {de} } @article{EhmelBrueggemannDoerk, author = {Ehmel, Fabian and Br{\"u}ggemann, Viktoria and D{\"o}rk, Marian}, title = {Topography of Violence}, series = {Computer Graphics Forum}, volume = {40}, journal = {Computer Graphics Forum}, number = {3}, publisher = {Wiley}, address = {Oxford}, issn = {1467-8659}, doi = {10.1111/cgf.14285}, pages = {13 -- 24}, abstract = {Based on a collaborative visualization design process involving sensitive historical data and historiographical expertise, we investigate the relevance of ethical principles in visualization design. While fundamental ethical norms like truthfulness and accuracy are already well-described and common goals in visualization design, datasets that are accompanied by specific ethical concerns need to be processed and visualized with an additional level of carefulness and thought. There has been little research on adequate visualization design incorporating such considerations. To address this gap we present insights from Topography of Violence, a visualization project with the Jewish Museum Berlin that focuses on a dataset of more than 4,500 acts of violence against Jews in Germany between 1930 and 1938. Drawing from the joint project, we develop an approach to the visualization of sensitive data, which features both conceptual and procedural considerations for visualization design. Our findings provide value for both visualization researchers and practitioners by highlighting challenges and opportunities for ethical data visualization.}, subject = {Daten}, language = {en} } @inproceedings{OttenHildebrandNageletal., author = {Otten, Heike and Hildebrand, Lennart and Nagel, Till and D{\"o}rk, Marian and M{\"u}ller, Boris}, title = {Shifted Maps}, series = {2018 IEEE VIS Arts Program}, booktitle = {2018 IEEE VIS Arts Program}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, address = {Berlin}, organization = {Institute of Electrical and Electronics Engineers (IEEE)}, isbn = {978-1-7281-2805-4}, doi = {10.1109/VISAP45312.2018.9046054}, pages = {1 -- 10}, abstract = {We present a hybrid visualization technique that integrates maps into network visualizations to reveal and analyze diverse topologies in geospatial movement data. With the rise of GPS tracking in various contexts such as smartphones and vehicles there has been a drastic increase in geospatial data being collect for personal reflection and organizational optimization. The generated movement datasets contain both geographical and temporal information, from which rich relational information can be derived. Common map visualizations perform especially well in revealing basic spatial patterns, but pay less attention to more nuanced relational properties. In contrast, network visualizations represent the specific topological structure of a dataset through the visual connections of nodes and their positioning. So far there has been relatively little research on combining these two approaches. Shifted Maps aims to bring maps and network visualizations together as equals. The visualization of places shown as circular map extracts and movements between places shown as edges, can be analyzed in different network arrangements, which reveal spatial and temporal topologies of movement data. We implemented a web-based prototype and report on challenges and opportunities about a novel network layout of places gathered during a qualitative evaluation.}, subject = {Karte}, language = {en} } @inproceedings{KauerJoglekarRedietal., author = {Kauer, Tobias and Joglekar, Sagar and Redi, Miriam and Aiello, Luca Maria and Quercia, Daniele}, title = {Mapping and Visualizing Deep-Learning Urban Beautification}, series = {IEEE Computer Graphics and Applications}, volume = {38}, booktitle = {IEEE Computer Graphics and Applications}, number = {5}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, address = {New York}, organization = {Institute of Electrical and Electronics Engineers (IEEE)}, issn = {1558-1756}, doi = {10.1109/MCG.2018.053491732}, pages = {70 -- 83}, abstract = {Information visualization has great potential to make sense of the increasing amount of data generated by complex machine-learning algorithms. We design a set of visualizations for a new deep-learning algorithm called FaceLift (goodcitylife.org/facelift). This algorithm is able to generate a beautified version of a given urban image (such as from Google Street View), and our visualizations compare pairs of original and beautified images. With those visualizations, we aim at helping practitioners understand what happened during the algorithmic beautification without requiring them to be machine-learning experts. We evaluate the effectiveness of our visualizations to do just that with a survey among practitioners. From the survey results, we derive general design guidelines on how information visualization makes complex machine-learning algorithms more understandable to a general audience.}, subject = {Visualisierung}, language = {en} } @article{Meier, author = {Meier, Sebastian}, title = {The Marker Cluster}, series = {International Journal of Agricultural and Environmental Information Systems}, volume = {7}, journal = {International Journal of Agricultural and Environmental Information Systems}, number = {1}, publisher = {IGI Global}, address = {Hershey}, issn = {1947-3206}, doi = {10.4018/IJAEIS.2016010102}, pages = {28 -- 43}, abstract = {The growing amount of gathered, stored and available data is creating a need for useful mass-data visualizations in many domains. The mapping of large spatial data sets is not only of interest for experts anymore, but, with regard to the latest advances in web cartography, also moves into the domain of public cartographic applications. One interactive web-based cartographic interface design pattern that helps with visualizing and interacting with large, high density data sets is the marker cluster; a functionality already in use in many web-based products and solutions. In this article, the author will present their ongoing research on the problem of "too many markers." They will present an empirical evaluation and comparison of marker cluster techniques and similar approaches, including heatmaps and tiled heatmaps. They conclude with a first concept for overcoming some of the obstacles that they were able to identify in their study and thereby introduce a new direction for further research.}, subject = {Big Data}, language = {en} } @incollection{Meier, author = {Meier, Sebastian}, title = {Visualizing Large Spatial Time Series Data on Mobile Devices}, series = {Cartography : Maps Connecting the World}, booktitle = {Cartography : Maps Connecting the World}, publisher = {Springer}, address = {Cham}, isbn = {978-3-319-17738-0}, issn = {1863-2351}, doi = {10.1007/978-3-319-17738-0_12}, publisher = {Fachhochschule Potsdam}, pages = {161 -- 173}, abstract = {This paper introduces an approach for visualizing large spatial time series data sets on mobile devices. The HeatTile system (Meier et al. 2014) is used and extended with a progressive loading approach, the stream approach. By combining those two approaches, this study aimed to overcome the performance and bandwidth limitations inherent to mobile devices. This chapter focuses on the technological advantages of the presented approach in a performance comparison with other common approaches. Furthermore, an animated time series visualization is introduced, as well as an interface designed specifically for the presented method in order to emphasize the advantages of the approach. To further highlight the possible applications of the method, two real-world use cases are presented.}, subject = {Visualisierung}, language = {en} } @incollection{NagelPschetzStefaneretal., author = {Nagel, Till and Pschetz, Larissa and Stefaner, Moritz and Halkia, Matina and M{\"u}ller, Boris}, title = {m{\ae}ve - An Interactive Tabletop Installation for Exploring Background Information in Exhibitions}, series = {Human-computer interaction : ambient, ubiquitous and intelligent interaction ; 13th international conference, HCI International 2009, San Diego, CA, USA, July 19 - 24, 2009 ; proceedings, part III}, booktitle = {Human-computer interaction : ambient, ubiquitous and intelligent interaction ; 13th international conference, HCI International 2009, San Diego, CA, USA, July 19 - 24, 2009 ; proceedings, part III}, publisher = {Springer}, address = {Berlin}, isbn = {978-3-642-02580-8}, doi = {10.1007/978-3-642-02580-8_53}, pages = {483 -- 491}, abstract = {This paper introduces the installation m{\ae}ve: a novel approach to present background information in exhibitions in a highly interactive, tangible and sociable manner. Visitors can collect paper cards representing the exhibits and put them on an interactive surface to display associated concepts and relations to other works. As a result, users can explore both the unifying themes of the exhibition as well as individual characteristics of exhibits. On basis of metadata schemata developed in the MACE (Metadata for Architectural Contents in Europe) project, the system has been put to use the Architecture Biennale to display the entries to the Everyville student competition.}, subject = {Benutzeroberfl{\"a}che}, language = {en} }