cff-version: 1.2.0
abstract: "<p>We present data, scripts, and analysis based on studies on the construct defining, reliability validity, construct validity, cross-validity, predictive validity, concurrent validity, and interpretability of the Artificial Social Agent Questionnaire (ASAQ). Furthermore, the calculation of sample sizes for using the constructs/dimensions of the short and long versions of the ASAQ are also given. To access the content, one can follow the table of contents in underlying the Research into Siska Fitrianie, Merijn Bruijnes, Amal Abdulrahman, and Willem-Paul Brinkman. 2025. The Artificial Social Agent Questionnaire (ASAQ) - Development and evaluation of a validated instrument for capturing human interaction experiences with artificial social agents. International Journal of Human-Computer Studies (2025), 103482. https://doi.org/10.1016/j.ijhcs.2025.103482, which corresponds to the table of contents (outline) of the journal. The captions of tables and figures containing the results that correspond to the tables and figures displayed in the journal, are also listed and provided. Additionally, we present the script to generate an ASAQ chart in the folder &quot;ASAQ Chart generator&quot; including examples of input based on the long and shorts ASAQ versions of the ASAQ representative set 2024.</p>"
authors:
  - family-names: Fitrianie
    given-names: Siska
    orcid: "https://orcid.org/0000-0002-8172-5315"
  - family-names: Bruijnes
    given-names: Merijn
  - family-names: Abdulrahman
    given-names: Amal
  - family-names: Brinkman
    given-names: Willem-Paul
    orcid: "https://orcid.org/0000-0001-8485-7092"
title: "Data and Analysis Underlying the Research into The Artificial Social Agent Questionnaire (ASAQ) - Development and Evaluation of a Validated Instrument for Capturing Human Interaction Experiences with Artificial Social Agents"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/4fe035a8-45ff-4ffc-a269-380d09361029.v1
license: CC BY 4.0
date-released: 2025-03-04