Paul Toprac

The University of Texas at Austin

Papers

1

Total Citations

111

H-Index

1

About

Paul Toprac is a leading researcher at the intersection of artificial intelligence, media studies, and public engagement. His work primarily explores how entertainment media—from films and television to video games—shapes public understanding and perception of emerging technologies, particularly AI. Toprac’s most-cited paper, "Public understanding of artificial intelligence through entertainment media" (2022, 111 citations), stands as a seminal contribution, demonstrating how narrative and visual media influence societal attitudes toward AI, often more powerfully than formal education or news. This research has profound implications for science communication, policy, and the ethical design of AI systems. Beyond this flagship study, Toprac’s broader portfolio examines the role of interactive media in learning and the cultural framing of technology. His work is widely cited by scholars in human-computer interaction, media psychology, and science and technology studies, reflecting its interdisciplinary impact. Toprac’s insights are essential for anyone seeking to understand how fictional portrayals of AI can shape real-world expectations, fears, and aspirations, making him a vital voice in bridging the gap between technical development and public discourse.

Research Focus

Key Achievements

1
H-Index
1
Papers
111
Total Citations
111
Avg Citations/Paper
🏆 Most Cited Paper
Public understanding of artificial intelligence through entertainment media
111 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: The University of Texas at Austin

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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