@article{AckermannEggerScharlach, author = {Ackermann, Judith and Egger, Benjamin and Scharlach, Rebecca}, title = {Programming the postdigital : curation of appropriation processes in (collaborative) creative coding spaces}, series = {Postdigital Science and Education}, volume = {2}, journal = {Postdigital Science and Education}, publisher = {Springer}, address = {Cham}, issn = {2524-4868}, doi = {10.1007/s42438-019-00088-1}, pages = {416 -- 441}, abstract = {Creative coding is a form of postdigital art that uses programming to solve esthetical problems, subordinating functionality to expression. It often comes with rather uncommon usage patterns of coding, going beyond technologies' affordances and finding ways of appropriating them in an individual way and in exchange with others. The learning ecologies GitHub, Stack Overflow, and Pou{\"e}t present digital infrastructures that curate and support such appropriation-related activities. The paper presents a qualitative analysis of the structure of these spaces, and the appropriation-related communication taking place. It shows how crucial the varying designs of the learning ecologies and the implemented interaction possibilities are for the appropriation activities taking place and draws a line to the desire for stronger participation in postdigital curation.}, subject = {Codierung}, 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} } @article{WuttkeGebert, author = {Wuttke, Ulrike and Gebert, Bj{\"o}rn}, title = {How to make your medieval research more visible with open scholarship methods and tools}, series = {Imago temporis : medium aevum}, volume = {15}, journal = {Imago temporis : medium aevum}, address = {Lleida}, organization = {Universitat de Lleida}, issn = {1888-3931}, doi = {10.21001/itma.2021.15.14}, pages = {415 -- 450}, abstract = {Today research is in the midst of a global transformation that is usually referred to as Open Science. Open Science is a response from communities to global societal developments and to the digital transformation of research processes and leads to the emergence of new practices that are embedded in a digital ecosystem. The global Medieval Studies community is slowly adapting to this new culture that raises new questions around scientific practices. This article discusses three major pillars of Open Science: Open Access, Open Data, and Open Science Communication in the Digital Age. It considers the potential of these practices for individual researchers and for the role of medieval research in a modern society and explains good practices to start with.}, subject = {Open Access}, language = {en} } @article{SchwanArndtDoerk, author = {Schwan, Hannah and Arndt, Jonas and D{\"o}rk, Marian}, title = {Disclosure as a critical-feminist design practice for Web-based data stories}, series = {First Monday}, volume = {27}, journal = {First Monday}, number = {11}, address = {Chicago}, organization = {University of Illinois Chicago Library}, issn = {1396-0466}, doi = {10.5210/fm.v27i11.12712}, abstract = {We present findings from design research on disclosure at the intersection of data visualization, digital storytelling, and feminism. While there is an increased awareness of power structures in data science, computing, and design, there is little design research to confront these. This work explores the potential of disclosing context information of data stories, i.e., digital storytelling formats utilizing data visualizations, to enable critical-feminist readings of and reflections on these stories. Drawing from a growing body of feminist scholarship in human-computer interaction, data science, and beyond, we identify key aspects and forms of disclosure for embedding them into visual data story interfaces. We devise and validate these aspects and forms within a case study: a Web-based scrollytelling article explaining the feminist concept of intersectionality using a combination of animated illustration, data visualization, and text. With this work, we demonstrate and discuss the potentials and pitfalls of disclosure practices in data storytelling.}, subject = {Publizit{\"a}t}, language = {en} } @article{BeechamRooneyMeieretal., author = {Beecham, R. and Rooney, C. and Meier, S. and Dykes, J. and Slingsby, A and Turkay, C. and Wood, J. and Wood, B. L. and Wong, W.}, title = {Faceted Views of Varying Emphasis (FaVVEs)}, series = {Computer Graphics Forum}, volume = {35}, journal = {Computer Graphics Forum}, number = {3}, publisher = {Wiley-Blackwell}, address = {Oxford}, issn = {1467-8659}, doi = {10.1111/cgf.12900}, pages = {241 -- 249}, abstract = {Many datasets have multiple perspectives - for example space, time and description - and often analysts are required to study these multiple perspectives concurrently. This concurrent analysis becomes difficult when data are grouped and split into small multiples for comparison. A design challenge is thus to provide representations that enable multiple perspectives, split into small multiples, to be viewed simultaneously in ways that neither clutter nor overload. We present a design framework that allows us to do this. We claim that multi-perspective comparison across small multiples may be possible by superimposing perspectives on one another rather than juxtaposing those perspectives side-by-side. This approach defies conventional wisdom and likely results in visual and informational clutter. For this reason we propose designs at three levels of abstraction for each perspective. By flexibly varying the abstraction level, certain perspectives can be brought into, or out of, focus. We evaluate our framework through laboratory-style user tests. We find that superimposing, rather than juxtaposing, perspective views has little effect on performance of a low-level comparison task. We reflect on the user study and its design to further identify analysis situations for which our framework may be desirable. Although the user study findings were insufficiently discriminating, we believe our framework opens up a new design space for multi-perspective visual analysis.}, subject = {Visualisierung}, language = {en} } @article{DoerkPietschCredico, author = {D{\"o}rk, Marian and Pietsch, Christopher and Credico, Gabriel}, title = {One view is not enough High-level visualizations of a large cultural collection}, series = {Information Design Journal}, volume = {23}, journal = {Information Design Journal}, number = {1}, publisher = {John Benjamins Publishing}, address = {Amsterdam}, issn = {1569-979X}, doi = {10.1075/idj.23.1.06dor}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:525-26609}, pages = {39 -- 47}, abstract = {As cultural institutions are digitizing their artifacts and interlinking their collections, new opportunities emerge to engage with cultural heritage. However, it is the often comprehensive and complex nature of collections that can make it difficult to grasp their distribution and extent across a variety of dimensions. After a brief introduction to the research area of collection visualizations, this paper presents a design study visualizing an aggregated collection from diverse cultural institutions in Germany. We detail our iterative design process leading to prototypical implementations of four stylistically and functionally coordinated visualizations, each one focusing on different facets of the collection.}, subject = {Visualisierung}, language = {en} } @article{DeLuca, author = {De Luca, Ernesto William}, title = {Extending the Linked Data Cloud with Multilingual Lexical Linked Data}, series = {Knowledge Organization}, volume = {40}, journal = {Knowledge Organization}, number = {5}, publisher = {Ergon-Verlag}, address = {W{\"u}rzburg}, issn = {0943-7444}, doi = {10.5771/0943-7444-2013-5-320}, pages = {320 -- 331}, abstract = {A lot of information that is already available on the Web, or retrieved from local information sys-tems and social networks, is structured in data silos that are not semantically related. Semantic technologies make it apparent that the use of typed links that directly express their relations are an advantage for every application that can reuse the incorporated knowledge about the data. For this reason, data integration, through reengineering (e.g., triplify) or querying (e.g., D2R), is an important task in order to make information available for everyone. Thus, in order to build a semantic map of the data, we need knowledge about data items itself and the relation between heterogeneous data items. Here we present our work of providing Lexical Linked Data (LLD) through a meta-model that contains all the resources and gives the possibility to retrieve and navigate them from different per-spectives. After giving the definition of Lexical Linked Data, we describe the existing datasets we collected and the new datasets we included. Here we describe their format and show some use cases where we link lexical data, and show how to reuse and inference semantic data de-rived from lexical data. Different lexical resources (MultiWordNet, EuroWordNet, MEMODATA Lexicon, the Hamburg Methaphor Data-base) are connected to each other towards an Integrated Vocabulary for LLD that we evaluate and present.}, subject = {Linked Data}, language = {en} } @article{HoeySchroederAlhothali, author = {Hoey, Jesse and Schr{\"o}der, Tobias and Alhothali, Areej}, title = {Affect control processes}, series = {Artificial Intelligence}, volume = {230}, journal = {Artificial Intelligence}, publisher = {Elseviert}, address = {Amsterdam}, issn = {0004-3702}, doi = {10.1016/j.artint.2015.09.004}, pages = {134 -- 172}, abstract = {This paper describes a novel method for building affectively intelligent human-interactive agents. The method is based on a key sociological insight that has been developed and extensively verified over the last twenty years, but has yet to make an impact in artificial intelligence. The insight is that resource bounded humans will, by default, act to maintain affective consistency. Humans have culturally shared fundamental affective sentiments about identities, behaviours, and objects, and they act so that the transient affective sentiments created during interactions confirm the fundamental sentiments. Humans seek and create situations that confirm or are consistent with, and avoid and suppress situations that disconfirm or are inconsistent with, their culturally shared affective sentiments. This "affect control principle" has been shown to be a powerful predictor of human behaviour. In this paper, we present a probabilistic and decision-theoretic generalisation of this principle, and we demonstrate how it can be leveraged to build affectively intelligent artificial agents. The new model, called BayesAct, can maintain multiple hypotheses about sentiments simultaneously as a probability distribution, and can make use of an explicit utility function to make value-directed action choices. This allows the model to generate affectively intelligent interactions with people by learning about their identity, predicting their behaviours using the affect control principle, and taking actions that are simultaneously goal-directed and affect-sensitive. We demonstrate this generalisation with a set of simulations. We then show how our model can be used as an emotional "plug-in" for artificially intelligent systems that interact with humans in two different settings: an exam practice assistant (tutor) and an assistive device for persons with a cognitive disability.}, subject = {Emotionales Verhalten}, language = {en} } @article{WolpersMemmelStefaner, author = {Wolpers, Martin and Memmel, Martin and Stefaner, Moritz}, title = {Supporting architecture education using the MACE system}, series = {International Journal of Technology Enhanced Learning}, volume = {2}, journal = {International Journal of Technology Enhanced Learning}, number = {1-2}, publisher = {Inderscience}, address = {Olney}, issn = {1753-5263}, doi = {10.1504/IJTEL.2010.031264}, pages = {132 -- 144}, abstract = {Today, digital learning resources in architecture are spread over a growing number of repositories world-wide. Students of architecture face increasing problems finding and being aware of appropriate learning resources they need within their collaborative and/or exploratory learning scenarios. The Metadata for Architectural Contents in Europe (MACE) system addresses these issues by intelligently aggregating and linking information about learning resources from various repositories. We show how, by establishing explicit relations between the learning resources and by adding community features, students are supported in their learning activities. First experiments indicate that the chosen approach improves the results students can achieve in their studies.}, subject = {E-Learning}, language = {en} } @article{RodighieroDerryDuhaimeetal., author = {Rodighiero, Dario and Derry, Lins and Duhaime, Douglas and Kruguer, Jordan and Mueller, Maximilian C. and Pietsch, Christopher and Schnapp, Jeffrey T. and Steward, Jeff}, title = {Surprise machines : revealing Harvard Art Museums' image collection}, series = {Information Design Journal}, volume = {27}, journal = {Information Design Journal}, number = {1}, publisher = {John Benjamins Publishing Company}, address = {Amsterdam}, issn = {1569-979X}, doi = {10.1075/idj.22013.rod}, pages = {21 -- 34}, abstract = {Surprise Machines is a project of experimental museology that sets out to visualize the entire image collection of the Harvard Art Museums, with a view to opening up unexpected vistas on more than 200,000 objects usually inaccessible to visitors. The project is part of the exhibition organized by metaLAB (at) Harvard entitled Curatorial A(i)gents and explores the limits of artificial intelligence to display a large set of images and create surprise among visitors. To achieve this feeling of surprise, a choreographic interface was designed to connect the audience's movement with several unique views of the collection.}, subject = {K{\"u}nstliche Intelligenz}, language = {en} }