Data underlying the publication: Tensions in transparent urban AI: designing a smart electric vehicle charge point
doi:10.4121/14501130.v1
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doi: 10.4121/14501130
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
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
CC BY 4.0
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.
associated peer-reviewed publication
Tensions in transparent urban AI: designing a smart electric vehicle charge point
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
files (24)
- 86,409 bytesMD5:
aaf92ac0ace951b8af0da770f4b4820b1 press release redacted.pdf - 255,523 bytesMD5:
7f19bdb866582e134f32b5ef0a9ba8d810 project proposal redacted.pdf - 137 bytesMD5:
54bf667caf90a6da74c68ce270ffe5c92 project agreement.txt - 282,540 bytesMD5:
58a6b1b99802c4066f28cd79b2b076fd3 agency proposal redacted.pdf - 43,832 bytesMD5:
e79874ba375c48354b0e8757c9537ba24 requirements document redacted.pdf - 30,603,552 bytesMD5:
0f588762da58872c6045a47aedd3b0215 deck research and ideation redacted.pdf - 2,058,687 bytesMD5:
2b804c49b4c9304e7e3debbc35c265b86 deck final design update redacted.pdf - 269,978 bytesMD5:
32915195d9bebe300f9268b85495cc497 interviews design agency redacted.pdf - 1,489,216 bytesMD5:
6736a9dd4ab0aa4bdd06e8d08336884a8 deck making sense of flexpower redacted.pdf - 51,519,598 bytesMD5:
5b62466954f6e37f1b1b79da67d9801e9 deck final design deck including process redacted.pdf - 46,724 bytesMD5:
546317079ee3b889f6648e273b36f5bfinformed-consent-form-redacted.pdf - 1,072,295 bytesMD5:
801e543372d1fb594c5aa7ebcc62f324prototype-study-1.pdf - 523,472 bytesMD5:
7b90d417aa47e2285f9a33f387b0ab5cprototype-study-2.pdf - 168,905 bytesMD5:
64f46de0d5f9765e67d83d8da4acbcaascript-study-1-redacted.pdf - 14,083 bytesMD5:
e135c0276b364b114b2f05275bb92091script-study-2-redacted.pdf - 20,948 bytesMD5:
9d1291099492d5e1fe009824d01297bbstudy-01-participant-01.doc - 20,904 bytesMD5:
65fbcba147fe76ea16dc1f5f6e6c110bstudy-01-participant-02.doc - 10,249 bytesMD5:
6418912c02f58a5a019991f002b78ff7study-01-participant-03.doc - 22,255 bytesMD5:
5ca572cfbbf18d7afd493caab28b0852study-01-participant-04.doc - 14,336 bytesMD5:
2b9dd05fc3743e28f297b76862606a36study-01-participant-05.doc - 32,183 bytesMD5:
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c1cc39a51a76a4d87cabdda39ebb87bdstudy-02-participant-03.docx - 26,463 bytesMD5:
257864c4403c69c11edf255e869d0f88study-02-participant-04.docx -
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