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

Publication date

2022-09-06

Authors

Fitrianie, Siska
Bruijnes, MerijnORCID 0000-0002-7842-8213ISNI 0000000389830811
Li, Fengxiang
Abdulrahman, Amal
Brinkman, Willem-Paul

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Advisors

Supervisors

Document Type

Part of book
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cc_by

Abstract

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.

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Citation

Fitrianie, S, Bruijnes, M, Li, F, Abdulrahman, A & Brinkman, W-P 2022, The Artificial-Social-Agent Questionnaire : Establishing the long and short questionnaire versions. in IVA '22: Proceedings of the 22nd ACM International Conference on Intelligent Virtual Agents., 18, Association for Computing Machinery, Faro, Portugal. https://doi.org/10.1145/3514197.3549612