Abstract: Despite the profound impact of artificial intelligence (AI) in diverse contexts, large-scale socio-economic panel studies have rarely addressed the use and evaluation of AI for individual respondents. Therefore, the Artificial Intelligence Experience and Attitude Survey (AIEAS) is introduced to measure awareness, experience, attitude valence, and usage intention regarding AI in the work, healthcare, and education domains. The vignette-based items describe different AI applications that are administered in a planned missingness design to meet the brevity requirements of large-scale studies. A qualitative interview study ( N = 30) confirmed the comprehensibility of the items, while a quantitative web-based study ( N = 1,084) demonstrated satisfactory measurement structure and precision. These findings attest to good psychometric properties of the AIEAS that allow for a multidimensional measurement of AI experiences and evaluations. Integrating the instrument into panel studies will support examining societal trends over time to inform the scientific community and policies in different domains.
Gnambs et al. (Sun,) studied this question.