Helena Schmitt
Papers
1
Total Citations
305
H-Index
1
About
Helena Schmitt is a leading researcher in human–machine interaction, with a particular focus on how people perceive and engage with artificial intelligence. Her most influential contribution is the development and cross-cultural validation of the General Attitudes towards Artificial Intelligence Scale (GAAIS), introduced in her landmark 2020 paper. This work, which has garnered over 300 citations, provides a concise, reliable measure for assessing AI attitudes in German, Chinese, and English, enabling comparative studies across diverse populations. Schmitt’s research illuminates the spectrum of human responses to AI—from enthusiastic adoption to deep skepticism—and explores the psychological and social factors driving these attitudes. Her work is foundational for understanding public acceptance of AI technologies, informing both design and policy. Beyond this core contribution, Schmitt has investigated trust in autonomous systems and the ethical implications of algorithmic decision-making. Her cross-linguistic approach and rigorous methodology have made her a key voice in digital psychology, shaping how researchers worldwide study the human side of artificial intelligence.
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