Data underlying the publication: Tensions in transparent urban AI: designing a smart electric vehicle charge point

doi: 10.4121/14501130.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/14501130
Datacite citation style:
Alfrink, Kars; Doorn, Neelke; Kortuem, Gerd; Keller, Ianus (2022): Data underlying the publication: Tensions in transparent urban AI: designing a smart electric vehicle charge point. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/14501130.v1
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Dataset
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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.
history
  • 2022-04-01 first online, published, posted
publisher
4TU.ResearchData
format
Microsoft Word documents and PDF files.
language
nl
funding
  • BRIdging Data in the built Environment (BRIDE) (grant code CISC.CC.018) [more info...] Dutch Research Council
organizations
TU Delft, Faculty of Industrial Design Engineering, Department of Sustainable Design Engineering (SDE)
Stichting ElaadNL
Amsterdam Institute for Advanced Metropolitan Solutions (AMS Institute)
City of Amsterdam
The Incredible Machine, Rotterdam

DATA

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