Data underlying the conference paper: Interior design features predicting satisfaction with office workspace privacy and noise.

doi:10.4121/d09043de-63d4-47da-9360-2a6d04d5ebd3.v2
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/d09043de-63d4-47da-9360-2a6d04d5ebd3
Datacite citation style:
Colenberg, Susanne (2023): Data underlying the conference paper: Interior design features predicting satisfaction with office workspace privacy and noise. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/d09043de-63d4-47da-9360-2a6d04d5ebd3.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
choose version:
version 2 - 2023-05-31 (latest)
version 1 - 2023-05-30
Delft University of Technology logo
usage stats
251
views
197
downloads
geolocation
The Netherlands
time coverage
2021
licence
cc-0.png logo CC0

Anonymous survey data on interior design features of office workspaces and user satisfaction with privacy and noise

history
  • 2023-05-30 first online
  • 2023-05-31 published, posted
publisher
4TU.ResearchData
format
*csv; *.pdf, *.txt, *.sav
organizations
TU Delft, Faculty of Industrial Design Engineering, Department of Human-Centered Design.

DATA

files (5)