@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} } @article{MeierBoguckaLedermannetal., author = {Meier, Sebastian and Bogucka, Edyta P. and Ledermann, Florian and Roth, Robert E. and Słomska-Przech, Katarzyna and V{\"o}r{\"o}s, Fanni}, title = {Opportunities and Challenges for the Next Generation of Cartographers}, series = {Abstracts of the ICA}, journal = {Abstracts of the ICA}, number = {6}, publisher = {Copernicus Publications}, address = {G{\"o}ttingen}, issn = {2570-2106}, doi = {10.5194/ica-abs-6-162-2023}, pages = {1 -- 3}, abstract = {Developing the next generation of cartographers is essential to sustaining and expanding the mission of the International Cartographic Association. Students and early-career professionals today learn cartographic design alongside a diverse array of conceptual and technical competencies, such as data science, human-computer interaction, information visualization, and machine learning. Accordingly, the next generation of cartographers often are working at the forefront of the discipline, actively reshaping what cartography is and can be.}, subject = {Kartograf}, 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{MeierTostHeidmann2019, author = {Meier, Sebastian and Tost, Jordi and Heidmann, Frank}, title = {On the relevance of cartography : an interaction design perspective}, series = {Proceedings of the International Cartographic Association}, booktitle = {Proceedings of the International Cartographic Association}, number = {2}, address = {Bern}, organization = {International Cartographic Association (ICA)}, doi = {10.5194/ica-proc-2-84-2019}, pages = {6}, year = {2019}, abstract = {We see more cartographic products in our digital world than ever before. But what role does cartography play in the modern production of cartographic products? In this position paper, we will argue that the democratization and diffusion of cartographic production has also led to the presumed "fading relevance" of cartography. As an argument against this notion, we highlight starting points for the field of cartography to improve modern cartographic production through its inherent cartographic knowledge.}, subject = {Kartografie}, language = {en} } @article{Meier, author = {Meier, Sebastian}, title = {Visualizations in Online News - and Their Effect on Perceived Credibility}, series = {KN - Journal of cartography and geographic information}, volume = {67}, journal = {KN - Journal of cartography and geographic information}, number = {2}, publisher = {Springer International Publishing}, address = {Cham}, issn = {2524-4957}, doi = {10.1007/BF03545380}, pages = {74 -- 83}, abstract = {Over the last few years, data visualization, especially the visualization of spatial data, has become of ever-increasing importance in modern online journalism. While there is a broad range of research projects that focus on developing new methods, techniques, and implementations, empirical analysis of the potential implications of this trend is still rare. In this paper, the potential influence of visualizations in online journalism is in the focus: perceived credibility. The need for such empirical research is emphasized by presenting a preliminary quantitative study that assesses the impact of maps and information visualization on the perceived credibility of online news articles.}, subject = {Glaubw{\"u}rdigkeit}, 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 = {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{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} }