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Artificial Social Agent Questionnaire Instrument

Datacite citation style:
Fitrianie, Siska; Merijn Bruijnes; Fengxiang Li; Amal Abdulrahman; Brinkman, Willem-Paul (2023): Artificial Social Agent Questionnaire Instrument. Version 5. 4TU.ResearchData. dataset. https://doi.org/10.4121/d8e2c534-d192-4411-a1e2-5aeac97f0165.v5
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

We present the ASA Questionnaire, 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 ASA questionnaire results, we also put forward an ASA chart. The chart provides a quick overview of agent profile.

History

  • 2022-07-22 first online
  • 2023-09-01 published, posted

Publisher

4TU.ResearchData

Format

.pdf, .html

Funding

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

Organizations

Department of Intelligent Systems, Delft University of Technology, Delft, the Netherlands;
Utrecht University School of Governance, Utrecht University, Utrecht, the Netherlands;
Department of Management Science and Engineering, School of Business Administration, Northestern University, Shenyang, China;

DATA

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