TY - JOUR
T1 - The Artificial Social Agent Questionnaire (ASAQ) — Development and evaluation of a validated instrument for capturing human interaction experiences with artificial social agents
AU - Fitrianie, Siska
AU - Bruijnes, Merijn
AU - Abdulrahman, Amal
AU - Brinkman, Willem Paul
PY - 2025
Y1 - 2025
N2 - Validating claims and replicating findings on the impact of artificial social agents (ASA), such as virtual agents, conversational agents, and social robots, requires a standardised measurement instrument that researchers can employ in different settings and for various agents. Such an instrument would allow researchers to evaluate their agents and establish insights beyond their specific study context. Therefore, we present the long and short versions of the ASA questionnaire (ASAQ) for evaluating human-ASA interaction on 19 constructs, such as the agent's believability, sociability, and coherence. It has been developed by an international workgroup with more than 100 ASA-researchers over multiple years who identified community-relevant constructs and associated questionnaire items and examined the questionnaire's reliability, validity, and interpretability. The result is a questionnaire that can capture more than 80% of the constructs that studies in the intelligent virtual agent community investigate, with acceptable levels of reliability, content validity, construct validity, and cross-validity. We suggest that ASA-researchers use the ASAQ short version to report their agent's psychographic information and the ASAQ long version to analyse any constructs in-depth that are specifically relevant to their agent or study. Finally, this paper gives instructions for practical use, such as sample size estimations, and how to interpret and present results.
AB - Validating claims and replicating findings on the impact of artificial social agents (ASA), such as virtual agents, conversational agents, and social robots, requires a standardised measurement instrument that researchers can employ in different settings and for various agents. Such an instrument would allow researchers to evaluate their agents and establish insights beyond their specific study context. Therefore, we present the long and short versions of the ASA questionnaire (ASAQ) for evaluating human-ASA interaction on 19 constructs, such as the agent's believability, sociability, and coherence. It has been developed by an international workgroup with more than 100 ASA-researchers over multiple years who identified community-relevant constructs and associated questionnaire items and examined the questionnaire's reliability, validity, and interpretability. The result is a questionnaire that can capture more than 80% of the constructs that studies in the intelligent virtual agent community investigate, with acceptable levels of reliability, content validity, construct validity, and cross-validity. We suggest that ASA-researchers use the ASAQ short version to report their agent's psychographic information and the ASAQ long version to analyse any constructs in-depth that are specifically relevant to their agent or study. Finally, this paper gives instructions for practical use, such as sample size estimations, and how to interpret and present results.
KW - Artificial social agent
KW - Evaluation instrument
KW - Interpretability
KW - Questionnaire
KW - Reliability
KW - Social interactive agent
KW - User study
KW - Validity
UR - http://www.scopus.com/inward/record.url?scp=105001018768&partnerID=8YFLogxK
U2 - 10.1016/j.ijhcs.2025.103482
DO - 10.1016/j.ijhcs.2025.103482
M3 - Article
AN - SCOPUS:105001018768
SN - 1071-5819
VL - 199
JO - International Journal of Human Computer Studies
JF - International Journal of Human Computer Studies
M1 - 103482
ER -