Assessing the Attitude Towards Artificial Intelligence: Introduction of a Short Measure in German, Chinese, and English Language

By Cornelia Sindermann, Peng Sha, Min Zhou, Jennifer Wernicke, H. Schmitt, Mei Li, Rayna Sariyska, M. Stavrou, Benjamin Becker, C. Montag. KI - Künstliche Intelligenz, 2020

295 citations recorded by the source corpus.

In the context of (digital) human–machine interaction, people are increasingly dealing with artificial intelligence in everyday life. Through this, we observe humans who embrace technological advances with a positive attitude. Others, however, are particularly sceptical and claim to foresee substantial problems arising from such uses of technology. The aim of the present study was to introduce a short measure to assess the Attitude Towards Artificial Intelligence (ATAI scale) in the German, Chinese, and English languages. Participants from Germany (N = 461; 345 females), China (N = 413; 145 females), and the UK (N = 84; 65 females) completed the ATAI scale, for which the factorial structure was tested and compared between the samples. Participants from Germany and China were additionally asked about their willingness to interact with/use self-driving cars, Siri, Alexa, the social robot Pepper, and the humanoid robot Erica, which are representatives of popular artificial intelligence products. The results showed that the five-item ATAI scale comprises two negatively associated factors assessing (1) acceptance and (2) fear of artificial intelligence. The factor structure was found to be similar across the German, Chinese, and UK samples. Additionally, the ATAI scale was validated, as the items on the willingness to use specific artificial intelligence products were positively associated with the ATAI Acceptance scale and negatively with the ATAI Fear scale, in both the German and Chinese samples. In conclusion we introduce a short, reliable, and valid measure on the attitude towards artificial intelligence in German, Chinese, and English language.

Subfields: Applied Psychology, Social Psychology, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/721012c78aa41f26deb2ed880a4ce9f9c45f799a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Applied Psychology

  1. Paul Rodway
  2. Astrid Schepman

In Social Psychology

  1. Paul Rodway
  2. Astrid Schepman

In Sociology and Political Science

  1. Paul Rodway
  2. Astrid Schepman

Citations in the corpus