TY - GEN
T1 - The artificial-social-agent questionnaire
T2 - 22nd ACM International Conference on Intelligent Virtual Agents, IVA 2022
AU - Fitrianie, Siska
AU - Bruijnes, Merijn
AU - Li, Fengxiang
AU - Abdulrahman, Amal
AU - Brinkman, Willem Paul
PY - 2022
Y1 - 2022
N2 - We present the ASA Questionnaire, an instrument for evaluating human interaction with an artificial social agent (ASA), resulting from multi-year efforts involving more than 100 Intelligent Virtual Agent (IVA) researchers worldwide. 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. This paper reports on construct validity analysis, specifically convergent and discriminant validity of initial 131 instrument items that involved 532 crowd-workers who were asked to rate human interaction with 14 different ASAs. The analysis included several factor analysis models and resulted in the selection of 90 items for inclusion in the long version of the ASA questionnaire. 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 the agent profile.
AB - We present the ASA Questionnaire, an instrument for evaluating human interaction with an artificial social agent (ASA), resulting from multi-year efforts involving more than 100 Intelligent Virtual Agent (IVA) researchers worldwide. 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. This paper reports on construct validity analysis, specifically convergent and discriminant validity of initial 131 instrument items that involved 532 crowd-workers who were asked to rate human interaction with 14 different ASAs. The analysis included several factor analysis models and resulted in the selection of 90 items for inclusion in the long version of the ASA questionnaire. 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 the agent profile.
KW - artificial social agent
KW - construct validity
KW - evaluation instrument
KW - questionnaire
KW - user study
UR - http://www.scopus.com/inward/record.url?scp=85138739190&partnerID=8YFLogxK
U2 - 10.1145/3514197.3549612
DO - 10.1145/3514197.3549612
M3 - Conference contribution
AN - SCOPUS:85138739190
T3 - IVA 2022 - Proceedings of the 22nd ACM International Conference on Intelligent Virtual Agents
BT - IVA 2022 - Proceedings of the 22nd ACM International Conference on Intelligent Virtual Agents
PB - Association for Computing Machinery (ACM)
Y2 - 6 September 2022 through 9 September 2022
ER -