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: 10.4121/19650846

Fitrianie, Siska; Merijn Bruijnes; Fengxiang Li; Amal Abdulrahman; Brinkman, Willem-Paul (2023): Artificial Social Agent Questionnaire Instrument. Version 6. 4TU.ResearchData. dataset. https://doi.org/10.4121/19650846.v6

Dataset

x choose version: version 5 - 2023-09-01 version 4 - 2023-09-01 version 3 - 2022-11-08 version 2 - 2022-07-26 version 1 - 2022-07-22

• Artificial Intelligence and Image Processing
• Information and Computing Sciences

Artificial social agent, data visualisation, evaluation instrument, questionnaire, user study, webchart

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Siska Fitrianie , Merijn Bruijnes, Fengxiang Li, Amal Abdulrahman, Willem-Paul Brinkman

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.

• 2022-07-22 first online

• 2023-10-11 published, posted

4TU.ResearchData

.pdf, .html

The Artificial-Social-Agent Questionnaire: Establishing the long and short questionnaire versions

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

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;