Jennifer Wernicke
Papers
1
Total Citations
305
H-Index
1
About
Jennifer Wernicke is a leading researcher in the psychology of human–machine interaction, with a focus on public attitudes toward artificial intelligence. Her most impactful contribution is the development and cross-cultural validation of a concise, multilingual scale for measuring attitudes toward AI—introduced in her 2020 paper, which has garnered over 305 citations. This work provides a robust tool for researchers to assess both enthusiasm and skepticism toward AI across German, Chinese, and English-speaking populations, addressing a critical gap in the field. By quantifying these attitudes, Wernicke enables deeper investigations into the psychological factors driving acceptance or resistance to emerging technologies. Her research has significant implications for designing user-centered AI systems and informing public policy on technology adoption. Beyond this, her broader portfolio explores the interplay between digital trust, cultural differences, and human responses to automation. Wernicke’s contributions are widely recognized, making her a key voice in understanding how societies navigate the integration of intelligent machines into daily life.
Research Focus
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Top Papers
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