Samuel Baker

The University of Texas at Austin

Papers

3

Total Citations

116

H-Index

2

About

Samuel Baker is a leading voice at the intersection of artificial intelligence, human-robot interaction, and cultural studies. His research explores how society perceives, imagines, and ultimately shapes emerging intelligent technologies. Baker’s most influential work, “Public understanding of artificial intelligence through entertainment media” (2022), has garnered 111 citations, establishing a foundational framework for understanding how films, television, and literature construct public narratives about AI. This contribution is critical for researchers and developers seeking to align technological progress with realistic public expectations. Baker also co-organized the influential workshop “Longitudinal Social Impacts of HRI over Long-Term Deployments” (2022), driving forward the study of how humans and robots interact over extended periods—a vital area for real-world deployment. His latest work, “AI Narratives: A History of Imaginative Thinking about Intelligent Machines” (2024), further cements his role as a historian of AI imagination, tracing how poetic and cultural visions have shaped technological trajectories. Through his interdisciplinary lens, Baker bridges engineering, social science, and the humanities, offering essential insights for anyone building or studying the future of human-machine relations.

Research Focus

Key Achievements

2
H-Index
3
Papers
116
Total Citations
39
Avg Citations/Paper
🏆 Most Cited Paper
Public understanding of artificial intelligence through entertainment media
111 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: The University of Texas at Austin

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago