TY - JOUR A1 - Ackermann, Judith A1 - Egger, Benjamin A1 - Scharlach, Rebecca T1 - Programming the postdigital : curation of appropriation processes in (collaborative) creative coding spaces JF - Postdigital Science and Education N2 - 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 Pouët 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. KW - Postdigital KW - Codierung KW - Lernumwelt KW - Appropriation Art KW - Kunst Y1 - 2019 U6 - https://doi.org/10.1007/s42438-019-00088-1 SN - 2524-4868 VL - 2 SP - 416 EP - 441 PB - Springer CY - Cham ER - TY - JOUR A1 - Meier, Sebastian T1 - The Marker Cluster BT - A Critical Analysis and a New Approach to a Common Web-based Cartographic Interface Pattern JF - International Journal of Agricultural and Environmental Information Systems N2 - 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. KW - Big Data KW - Visualisierung KW - Geologische Kartierung KW - Computerkartografie Y1 - 2016 U6 - https://doi.org/10.4018/IJAEIS.2016010102 SN - 1947-3206 VL - 7 IS - 1 SP - 28 EP - 43 PB - IGI Global CY - Hershey ER - TY - JOUR A1 - Wuttke, Ulrike A1 - Gebert, Björn T1 - How to make your medieval research more visible with open scholarship methods and tools JF - Imago temporis : medium aevum N2 - 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. KW - Open Access KW - Open Science KW - Mediävistik KW - Wissenschaftskommunikation Y1 - 2021 U6 - https://doi.org/10.21001/itma.2021.15.14 SN - 1888-3931 VL - 15 SP - 415 EP - 450 CY - Lleida ER - TY - JOUR A1 - Schwan, Hannah A1 - Arndt, Jonas A1 - Dörk, Marian T1 - Disclosure as a critical-feminist design practice for Web-based data stories JF - First Monday N2 - 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. KW - Data stories KW - Web-based scrollytelling KW - Publizität KW - Kontext KW - Feminismus KW - Erzählen Y1 - 2022 U6 - https://doi.org/10.5210/fm.v27i11.12712 SN - 1396-0466 VL - 27 IS - 11 CY - Chicago ER - TY - JOUR A1 - Beecham, R. A1 - Rooney, C. A1 - Meier, S. A1 - Dykes, J. A1 - Slingsby, A A1 - Turkay, C. A1 - Wood, J. A1 - Wood, B. L. A1 - Wong, W. T1 - Faceted Views of Varying Emphasis (FaVVEs) BT - a framework for visualising multi-perspective small multiples JF - Computer Graphics Forum N2 - 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. KW - Visualisierung KW - Raum-Zeit KW - Abstraktionsebene KW - Studie KW - Analyse Y1 - 2016 U6 - https://doi.org/10.1111/cgf.12900 SN - 1467-8659 VL - 35 IS - 3 SP - 241 EP - 249 PB - Wiley-Blackwell CY - Oxford ER - TY - JOUR A1 - Dörk, Marian A1 - Pietsch, Christopher A1 - Credico, Gabriel T1 - One view is not enough High-level visualizations of a large cultural collection JF - Information Design Journal N2 - 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. KW - Visualisierung KW - Sammlung KW - Kulturgut KW - Digital Humanities KW - Visual Analytics Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:525-26609 SN - 1569-979X VL - 23 IS - 1 SP - 39 EP - 47 PB - John Benjamins Publishing CY - Amsterdam ER - TY - JOUR A1 - De Luca, Ernesto William T1 - Extending the Linked Data Cloud with Multilingual Lexical Linked Data JF - Knowledge Organization N2 - 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. KW - Lexical Linked Data KW - Linked Data KW - Datenintegration KW - Semantisches Netz KW - Datenstruktur Y1 - 2013 U6 - https://doi.org/10.5771/0943-7444-2013-5-320 SN - 0943-7444 VL - 40 IS - 5 SP - 320 EP - 331 PB - Ergon-Verlag CY - Würzburg ER - TY - JOUR A1 - Hoey, Jesse A1 - Schröder, Tobias A1 - Alhothali, Areej T1 - Affect control processes BT - Intelligent affective interaction using a partially observable Markov decision process JF - Artificial Intelligence N2 - 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. KW - Emotionales Verhalten KW - Soziologie KW - Markov-Entscheidungsprozess KW - Intelligentes Tutorsystem KW - Mensch-Maschine-Kommunikation Y1 - 2015 U6 - https://doi.org/10.1016/j.artint.2015.09.004 SN - 0004-3702 VL - 230 SP - 134 EP - 172 PB - Elseviert CY - Amsterdam ER - TY - JOUR A1 - Wolpers, Martin A1 - Memmel, Martin A1 - Stefaner, Moritz T1 - Supporting architecture education using the MACE system JF - International Journal of Technology Enhanced Learning N2 - 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. KW - E-Learning KW - Metadaten KW - Dokumentenserver KW - Lehrmittel KW - Architekturstudent KW - MACE Y1 - 2010 U6 - https://doi.org/10.1504/IJTEL.2010.031264 SN - 1753-5263 VL - 2 IS - 1-2 SP - 132 EP - 144 PB - Inderscience CY - Olney ER - TY - JOUR A1 - Rodighiero, Dario A1 - Derry, Lins A1 - Duhaime, Douglas A1 - Kruguer, Jordan A1 - Mueller, Maximilian C. A1 - Pietsch, Christopher A1 - Schnapp, Jeffrey T. A1 - Steward, Jeff T1 - Surprise machines : revealing Harvard Art Museums’ image collection JF - Information Design Journal N2 - 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. KW - Künstliche Intelligenz KW - Digitales Archiv KW - Museumskunde KW - Netzwerk KW - Visualisierung Y1 - 2022 U6 - https://doi.org/10.1075/idj.22013.rod SN - 1569-979X VL - 27 IS - 1 SP - 21 EP - 34 PB - John Benjamins Publishing Company CY - Amsterdam ER -