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Auflistung nach Autor:in "Sperl, Markus"

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  • Workshopbeitrag
    Endorsing Values through Participation: Facilitating Workshops for Participatory Value Elicitation in Two Different Contexts to Inform Sociotechnical Designs
    (Mensch und Computer 2023 - Workshopband, 2023) Sörries, Peter; Leimstädtner, David; Sperl, Markus; Müller-Birn, Claudia
    Legal measures such as the GDPR aim to regulate the collection and use of personal data for scientific or commercial purposes. However, these measures might not be enough to protect individual privacy. Moreover, it is rarely possible for individuals to participate in and contribute to regulatory strategies. Informed by this situation, we were challenged on how responsible data collection can be achieved considering individuals’ values and needs. Based on our ongoing research in healthcare and urban mobility, we developed a two-step method: first, a workshop concept for participatory values elicitation, and second, an analysis procedure to examine the empirical data collected systematically. Our findings from the workshops show how values can inform sociotechnical designs.
  • Konferenzbeitrag
    Foregrounding Values through Public Participation: Eliciting Values of Citizens in the Context of Mobility Data Donation
    (Mensch und Computer 2023 - Tagungsband, 2023) Sörries, Peter; Franzen, Daniel; Sperl, Markus; Müller-Birn, Claudia
    Citizen science (CS) projects are conducted with interested volunteers and have already shown promise for large-scale scientific research. However, CS tends to cultivate the sharing of large amounts of data. Towards this, our research aims to understand better citizens’ potential privacy concerns in such participation formats. We, therefore, investigate how meaningful public participation can be facilitated to foreground citizens’ values regarding mobility data donation in CS. In this regard, we developed a two-step method: (1) a workshop concept for participatory value elicitation and (2) an analysis procedure to examine the empirical data collected systematically. Our findings based on three workshops provide new directions for improving data donation practices in CS.