Artificial Social Agent Questionnaire Instrument

DOI:10.4121/19650846.v7
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DOI: 10.4121/19650846

Datacite citation style

Fitrianie, Siska; Merijn Bruijnes; Amal Abdulrahman; Brinkman, Willem-Paul (2025): Artificial Social Agent Questionnaire Instrument. Version 7. 4TU.ResearchData. dataset. https://doi.org/10.4121/19650846.v7
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

We present the Artificial Social Agent Questionnaire (ASAQ), an instrument for evaluating human interaction with an artificial social agent (ASA), resulted from multi-year efforts involving more than 100 Intelligent Virtual Agent (IVA) researchers worldwide within the OSF work-group of Artificial Social Agent Evaluation Instrument (https://osf.io/6duf7/). It has 19 measurement constructs constituted by 90 items, which capture more than 80% of the constructs identified in empirical studies published in the IVA conference 2013-2018. In addition, a representative item of each construct or dimension was selected to create a 24-item short version of the ASA questionnaire. Whereas the long version is suitable for a comprehensive evaluation of human-ASA interaction, the short version allows quick analysis and description of the interaction with the ASA. To support reporting ASAQ results, we also put forward two ASAQ charts. The charts provides a quick overview of agent profile. The ASAQ Chart can be used for comparing the ASAQ results of up-to 4 ASAs on the original -3 to 3 scale, while the ASAQ Percentile Chart can be used for contrasting the ASAQ results with an ASAQ Representative Set. This set contains dataset of representative ASAs and their unique participants' ASAQ ratings.

History

  • 2022-07-22 first online
  • 2025-10-10 published, posted

Publisher

4TU.ResearchData

Format

.pdf, .html .xlsx

Funding

  • The Dutch 4TU - Humans and Technology, Pride and Prejudice project.

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems
Utrecht University, Utrecht University School of Governance

DATA

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