@incollection{GlinkaMeierDoerk, author = {Glinka, Katrin and Meier, Sebastian and D{\"o}rk, Marian}, title = {Visualising the »Un-seen«}, series = {Kultur und Informatik - Cross Media}, booktitle = {Kultur und Informatik - Cross Media}, publisher = {Werner H{\"u}lsbusch}, address = {Gl{\"u}ckstadt}, isbn = {978-3-86488-082-7}, pages = {105 -- 117}, abstract = {In recent years, access to cultural heritage has been closely connected to digitisation. We argue the case for recognising this digital shift as an opportunity to create interfaces to cultural heritage that are, first of all, more inviting to the public. Secondly, we want to encourage critical approaches towards the representation of cultural production and allow for alternative or even conflicting narratives and interpretations to surface. We present related work, use cases, and concepts for visualisations and interfaces that invite the reconsideration of modes of categorisation, presentation and clustering. Our intent is to develop ways to scrutinise modes of exclusion, carry out critical evaluations and pursue interventional strategies. We discuss the specific potential of visualisation, annotation and dynamic expansion of digital cultural collections. Building on critical approaches in human-computer interaction, visualisation and cultural theories, we explore how the interface could be a means of reflection, critique and inclusion.}, subject = {Kulturerbe}, 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} } @inproceedings{Meier, author = {Meier, Sebastian}, title = {The Micro Smart Grid Tabletop}, series = {Proceedings of the International Workshop on Tactile/Haptic User Interfaces for Tabletops and Tablets}, booktitle = {Proceedings of the International Workshop on Tactile/Haptic User Interfaces for Tabletops and Tablets}, publisher = {RWTH}, address = {Aachen}, issn = {1613-0073}, pages = {6}, abstract = {In this paper we present a case study for an interactive surface, an explanatory tangible multitouch system in an exhibition context. The system is used as an expressive representation of the complex concept of Micro Smart Grids (MSGs) and their influence on our future energy infrastructure. We built the experience upon research on integrating tangibles into playful and exploratory learning environments. Beyond the well-researched learning experience with tangibles, we developed the system to stimulate and foster discussions on the subject of MSGs. Besides the technology behind the system we will discuss limitations and advantages of combining tangible and multitouch technologies. To conclude we present reflections on the design and interaction concepts that were embedded into the system.}, subject = {Gegenst{\"a}ndliche Benutzeroberfl{\"a}che}, language = {en} } @inproceedings{Meier, author = {Meier, Sebastian}, title = {Enhancing Location Recommendation Through Proximity Indicators, Areal Descriptors, and Similarity Clusters}, series = {Progress in Location-Based Services 2016}, booktitle = {Progress in Location-Based Services 2016}, publisher = {Springer}, address = {Cham}, isbn = {978-3-319-47289-8}, issn = {1863-2351}, doi = {10.1007/978-3-319-47289-8_14}, pages = {273 -- 291}, abstract = {Location recommendation (LR) or rather location-based recommender systems (LBRS) are an integral part of modern location-based services (LBS). Most LR algorithms only focus on location-specific attributes when calculating recommendations, while completely ignoring the urban structure surrounding the locations. (In this paper we refer to a geographic coordinate (latitude and longitude) as position. Locations and places in contrast refer to physical entities e.g. a restaurant, a bus stop or a lake). This paper demonstrates how the urban structure can be modelled in LR calculations by using data from OpenStreetMap (OSM) and the location data itself. Based on these datasets, we present two approaches to extend the LR process by (1) including the urban structure in direct proximity of the location (Proximity Indicators and Areal Descriptors) and by (2) not only looking for individual locations but location clusters (Similarity Clusters). Thereby we acknowledge the complexity of a location, which can not be perceived as a detached entity. A location is part of a given urban structure and we need to include the parameters of this structure in our algorithms. A prototypical implementation compares locations from four major German cities: Berlin, Hamburg, Munich and Cologne and thereby highlights the applicability of the underlying data structures derived from OSM and the location data itself. We conclude by outlining the potential of the presented approaches in the context of LR as well as their relevancy for urban planning and neighboring disciplines.}, subject = {Empfehlungssystem}, 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} } @article{BruhnMeierLawrence, author = {Bruhn, Thomas and Meier, Sebastian and Lawrence, Mark G.}, title = {Interactive network visualization on the integration of mindsets and sustainability : creating conditions for emergence through a relational narrative}, series = {Innovation : The European Journal of Social Science Research}, volume = {36}, journal = {Innovation : The European Journal of Social Science Research}, number = {1}, publisher = {Routledge, Taylor \& Francis Group}, address = {London}, issn = {1351-1610}, doi = {10.1080/13511610.2022.2101987}, pages = {71 -- 84}, abstract = {Transdisciplinary research processes often involve the integration of knowledge and stakeholders from various backgrounds. Here, we introduce the story of the research project AMA (A Mindset for the Anthropocene) on the role of mindsets in the context of sustainability and present an interactive visualization tool that we developed for stakeholder mapping and research communication. Through this platform, we provide access and navigation to everyone interested in this field of research and we have simultaneously created a channel for all stakeholders to co-create content. Here, we describe the design and functionalities of the platform and the participatory way it was developed as part of our stakeholder engagement. We discuss upon how such a design allows for reflection of potential biases in transdisciplinary research processes and simultaneously catalyzing self-organization in stakeholder networks.}, subject = {Stakeholder}, language = {en} } @inproceedings{Meier, author = {Meier, Sebastian}, title = {Semi-automatic spatial classification of heterogeneous spatial open government data : use case of Germany}, series = {Abstracts of the International Cartographic Association}, booktitle = {Abstracts of the International Cartographic Association}, publisher = {Copernicus Publications}, address = {G{\"o}ttingen}, issn = {2570-2106}, doi = {10.5194/ica-abs-5-59-2022}, pages = {2}, abstract = {As part of the research project Open Data Cloud Services (ODCS), we have been trying to overcome some of the limitations introduced through the heterogeneity of spatial open government data (sOGD). In this paper we describe some of the challenges of sODG and one of the tools we built to spatially organize heterogenous sOGD, to make it easier for users to find data and automatically integrate it into existing data structures and in the future allow for cross-dataset spatial analysis.}, subject = {Klassifikation}, language = {en} } @inproceedings{GoodwinMeierBartrametal., author = {Goodwin, Sarah and Meier, Sebastian and Bartram, Lyn and Godwin, Alex and Nagel, Till and D{\"o}rk, Marian}, title = {Unravelling the Human Perspective and Considerations for Urban Data Visualization}, series = {2021 IEEE 14th Pacific Visualization Symposium (PacificVis)}, booktitle = {2021 IEEE 14th Pacific Visualization Symposium (PacificVis)}, publisher = {IEEE}, address = {New York}, organization = {The Institute of Electrical and Electronics Engineers (IEEE)}, isbn = {978-1-6654-3931-2}, doi = {10.1109/PacificVis52677.2021.00024}, pages = {126 -- 130}, abstract = {Effective use of data is an essential asset to modern cities. Visualization as a tool for analysis, exploration, and communication has become a driving force in the task of unravelling our complex urban fabrics. This paper outlines the findings from a series of three workshops from 2018-2020 bringing together experts in urban data visualization with the aim of exploring multidisciplinary perspectives from the human-centric lens. Based on the rich and detailed workshop discussions identifying challenges and opportunities for urban data visualization research, we outline major human-centric themes and considerations fundamental for CityVis design and introduce a framework for an urban visualization design space.}, subject = {Individuelle Datenverarbeitung}, language = {en} } @inproceedings{ThomMeierHeidmann, author = {Thom, Andreas and Meier, Sebastian and Heidmann, Frank}, title = {Anforderungsanalyse bei IT-Experten mit der Experience-Sample-Methode}, series = {Mensch und Computer 2015 - Usability Professionals}, booktitle = {Mensch und Computer 2015 - Usability Professionals}, publisher = {De Gruyter}, address = {Berlin}, isbn = {978-3-1104-4332-5}, doi = {10.1515/9783110443882-015}, pages = {133 -- 143}, abstract = {Dieser Beitrag besch{\"a}ftigt sich mit den Herausforderungen eine Anforderungsanalyse im hoch technologischen Umfeld der IT-Security durchzuf{\"u}hren, bei dem keine der {\"u}blichen ethnografischen Methoden wie teilnehmende Beobachtung u.a. m{\"o}glich waren. Im Umfeld von IT-Sicherheitsexperten besteht grunds{\"a}tzlich Skepsis bzgl. m{\"o}glicher Datenerfassungen, die Sicherheitsbelange des eigenen IT-Sicherheits-Betriebes (ITS) betreffen. Diese muss vor allem in der Anforderungsanalyse beachtet werden. Welche Methode k{\"o}nnte hierbei also zum Einsatz kommen? Im Rahmen des Beitrages m{\"o}chten wir unser Vorgehen und die gewonnen Erkenntnisse im Rahmen eines ZIM-Koop-Projektes des BMWi vorstellen und anhand eines Frameworks inkl. der Sample-Visualisierung der gewonnenen Daten zur Experience-Sample-Methode erl{\"a}utern.}, subject = {Designwissenschaft }, language = {de} } @inproceedings{MeierGlinka, author = {Meier, Sebastian and Glinka, Katrin}, title = {To Classify is to Interpret}, series = {Proceedings of Mensch und Computer 2023}, booktitle = {Proceedings of Mensch und Computer 2023}, editor = {Stolze, Markus and Loch, Frieder and Baldauf, Matthias and Alt, Florian and Schneegass, Christina and Kosch, Thomas and Hirzle, Teresa and Sadeghian, Shadan and Draxler, Fiona and Bektas, Kenan and Lohan, Katrin and Knierim, Pascal}, publisher = {Association for Computing Machinery}, address = {New York}, isbn = {979-8-4007-0771-1}, doi = {10.1145/3603555.3608532}, pages = {395 -- 401}, abstract = {Taxonomy building is a task that requires interpreting and classifying data within a given frame of reference, which comes to play in many areas of application that deal with knowledge and information organization. In this paper, we explore how taxonomy building can be supported with systems that integrate machine learning (ML). However, relying only on black-boxed ML-based systems to automate taxonomy building would sideline the users' expertise. We propose an approach that allows the user to iteratively take into account multiple model's outputs as part of their sensemaking process. We implemented our approach in two real-world use cases. The work is positioned in the context of HCI research that investigates the design of ML-based systems with an emphasis on enabling human-AI collaboration.}, subject = {K{\"u}nstliche Intelligenz}, language = {en} }