Dutch ASA Questionnaire Translation - Translation and Formative Assessment: Round 3

doi:10.4121/ef5bfd13-3edd-4d58-972a-aadd667ce3f9.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/ef5bfd13-3edd-4d58-972a-aadd667ce3f9
Datacite citation style:
Albers, Nele; Brinkman, Willem-Paul (2024): Dutch ASA Questionnaire Translation - Translation and Formative Assessment: Round 3. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/ef5bfd13-3edd-4d58-972a-aadd667ce3f9.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Delft University of Technology logo
usage stats
88
views
22
downloads
time coverage
24 August 2023 - 25 August 2023
licence
cc-by.png logo CC BY 4.0

This is the data and analysis code for the third and last round of the formative assessment of the Dutch translation of the English Artificial Social Agent (ASA) Questionnaire. This questionnaire can be used to characterize interactions between humans and ASAs.

The original English questionnaire can be found with this DOI: 10.4121/19650846.

The data and analysis code for the first two formative assessment rounds can be found here: https://doi.org/10.4121/9db602be-f748-46d7-b75d-874a1a0c244f.


Studies

We conducted a third round of assessing the correlation between original English questionnaire items and their Dutch translations. Specifically, we assessed the 20 English items with too low correlation scores after the first two formative assessment rounds and their new Dutch translations. The assessment consists of people who indicate having Dutch as their first and primary language, being fluent in English, and being bilingual rating the English items and their Dutch translations for the human-ASA interaction depicted in a 30-second video clip. The study was run on the online crowdsourcing platform Prolific between the 24th and 25th of August 2023.

The studies have been pre-registered here: https://osf.io/adknw.

The study was approved by the Human Research Ethics Committee of Delft University of Technology (Letter of Approval number: 3051).


Data

We provide the ratings for the English and Dutch questionnaire items as well as data on the characteristics of the participants (age, gender, highest completed education level from their Prolific profiles). A random identifier called "rand_id" can be used to link the data files.


In case of questions, please contact Nele Albers (n.albers@tudelft.nl) or Willem-Paul Brinkman (w.p.brinkman@tudelft.nl).

history
  • 2024-03-20 first online, published, posted
publisher
4TU.ResearchData
format
.csv, .xlsx, .Rmd, .pdf, .md, .bib, .py
funding
  • This work is part of the multidisciplinary research project Perfect Fit, which is supported by several funders organized by the Netherlands Organization for Scientific Research (NWO), program Commit2Data - Big Data & Health (project number 628.011.211). Besides NWO, the funders include the Netherlands Organisation for Health Research and Development (ZonMw), Hartstichting, the Ministry of Health, Welfare and Sport (VWS), Health Holland, and the Netherlands eScience Center.
organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems, Interactive Intelligence

DATA

files (1)