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Auflistung nach Autor:in "Dhungel, Anna-Katharina"

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  • Zeitschriftenartikel
    Collaborative Speculations on Future Themes for Participatory Design in Germany
    (i-com: Vol. 21, No. 2, 2022) Mucha, Henrik; Correia de Barros, Ana; Benjamin, Jesse Josua; Benzmüller, Christoph; Bischof, Andreas; Buchmüller, Sandra; de Carvalho, Alexandra; Dhungel, Anna-Katharina; Draude, Claude; Fleck, Marc-Julian; Jarke, Juliane; Klein, Stefanie; Kortekaas, Caroline; Kurze, Albrecht; Linke, Diane; Maas, Franzisca; Marsden, Nicola; Melo, Ricardo; Michel, Susanne; Müller-Birn, Claudia; Pröbster, Monika; Rießenberger, Katja Antonia; Schäfer, Mirko Tobias; Sörries, Peter; Stilke, Julia; Volkmann, Torben; Weibert, Anne; Weinhold, Wilhelm; Wolf, Sara; Zorn, Isabel; Heidt, Michael; Berger, Arne
    Participatory Design means recognizing that those who will be affected by a future technology should have an active say in its creation. Yet, despite continuous interest in involving people as future users and consumers into designing novel and innovative future technology, participatory approaches in technology design remain relatively underdeveloped in the German HCI community. This article brings together the diversity of voices, domains, perspectives, approaches, and methods that collectively shape Participatory Design in Germany. In the following, we (1) outline our understanding of participatory practice and how it is different from mere user involvement; (2) reflect current issues of participatory and fair technology design within the German Participatory Design community; and (3) discuss tensions relevant to the field, that we expect to arise in the future, and which we derived from our 2021 workshop through a speculative method. We contribute an introduction and an overview of current themes and a speculative outlook on future issues of Participatory Design in Germany. It is meant to inform, provoke, inspire and, ultimately, invite participation within the wider Computer Science community.
  • Konferenzbeitrag
    How to Design User-Centered Decision Support Systems in Public Budgeting? Guidelines and a Web-Based Prototype With First Insights From a Mixed-Methods Study
    (Mensch und Computer 2022 - Tagungsband, 2022) Tasche, Niklas; Dhungel, Anna-Katharina; Heine, Moreen
    Due to increasing complexity and high political importance, public budgeting should be technically supported in the best way possible. In this paper, the use of a decision support prototype is explored to assist stakeholders in the context of public budgeting, to address the questions of what information is needed to facilitate decisions, and how to design and embed such a system. A user-centered approach was chosen, including a context analysis, qualitative interviews, and a shortened design sprint. From the insights gained, design implications as well as two hands-on application scenarios were derived. Based on this, a high-fidelity prototype was developed with modern web technologies. Afterwards, a summative evaluation was conducted in an interactive and cohesive online survey where participants could interact directly with the embedded prototype. The results show that the majority of participants expect such a system to have a positive impact on decision-making during budget preparations. Furthermore, most of the defined design requirements were fulfilled and the usability as well as the visual aesthetics of the prototype, were evaluated in a positive manner. The design implications provide a profound basis for further research and design iterations.
  • Workshopbeitrag
    Partizipative und sozialverantwortliche Technikentwicklung
    (Mensch und Computer 2023 - Workshopband, 2023) Berger, Arne; Mucha, Henrik; Horn, Viktoria; Bischof, Andreas; Volkmann, Torben; Draude, Claude; Becker, Alexa; Haupt, Benedikt; Jarke, Juliane; Maas, Franzisca; Wolf, Sara; Dhungel, Anna-Katharina; Buchmüller, Sandra; Marsden, Nicola 0
    Im Workshop treffen sich Forscher*innen und Praktiker*innen zu Austausch und Diskussion über die Beteiligung von Nutzer*innen an Technikentwicklungsprozessen. Sie gehen dabei der Frage nach, wie Partizipation dem Anspruch auf Demokratisierung und Empowerment in Forschung und Praxis gerecht werden kann. Der Workshop dient auch als jährliches Treffen der Fachgruppe „Partizipation“ im Fachbereich Mensch-Computer-Interaktion (MCI) der Gesellschaft für Informatik (GI).
  • Workshopbeitrag
    Partizipative und sozialverantwortliche Technikentwicklung
    (Mensch und Computer 2022 - Workshopband, 2022) Mucha, Henrik; Berger, Arne; Jarke, Juliane; Horn, Viktoria; Dhungel, Anna-Katharina; Haupt, Benedikt; Bischof, Andreas; Stilke, Julia; Maas, Franzisca; Becker, Alexa; Volkmann, Torben; Draude, Claude
    Im Workshop treffen sich Forscher*innen und Praktiker*innen zu Austausch und Diskussion über die Beteiligung von Nutzer*innen an Technikentwicklungsprozessen. Sie gehen dabei der Frage nach, wie Partizipation dem Anspruch auf Demokratisierung und Empowerment in Forschung und Praxis gerecht werden kann. Der Workshop dient auch als jährliches Treffen der Fachgruppe „Partizipation“ im Fachbereich Mensch-Computer-Interaktion (MCI) der Gesellschaft für Informatik (GI).
  • Konferenzbeitrag
    Too Bureaucratic to Flexibly Learn about AI? The Human-Centered Development of a MOOC on Artificial Intelligence in and for Public Administration
    (Mensch und Computer 2021 - Tagungsband, 2021) Dhungel, Anna-Katharina; Wessel, Daniel; Zoubir, Mourad; Heine, Moreen
    The public sector holds enormous potential for the use of artificial intelligence, which is also recognized and supported by the government. To realize this potential, however, it is imperative that civil servants have the necessary knowledge to recognise and optimally exploit the application and utilisation possibilities of AI. Massive open online courses (MOOC) are a promising way to help civil servants gain that required knowledge. But how can such a course be designed to become accepted by this target group? In this paper, we present a human-centered development approach to develop a MOOC about AI for civil servants. Using an analysis of the target audience’s mental models, knowledge needs, and attitudes, we iteratively developed short learning units that ground the abstract AI topics in concrete case scenarios taken from the public sector. First results of an expert evaluation (expertise in adult education, public sector, and AI) look promising and further evaluations with the target group are planned.