Data underlying the publication: Tensions in transparent urban AI: designing a smart electric vehicle charge point
datasetposted on 2022-04-01, 13:44 authored by Kars AlfrinkKars Alfrink, Neelke Doorn, Gerd Kortuem, Ianus Keller
Data and materials used in a study of the diverging conception of transparency by experts and citizens in the context of smart electric vehicle (EV) charging. The data consists of: documents produced during a design project of a transparent smart EV charge point; two versions of a user interface (UI) prototype in PDF format; and transcripts of interviews with design evaluation participants. Using reflective thematic analysis, we generated a number of themes that capture how project team members ("experts") and EV drivers ("citizens") understand and respond to transparency of an urban AI system. These findings are described in a forthcoming publication. Approval was obtained from the university's Human Research Ethics Committee. All participants in this study gave their informed consent to participation and publication.
BRIdging Data in the built Environment (BRIDE)
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