Daniel Peter Neumann
Papers
1
Total Citations
38
H-Index
1
About
Daniel Peter Neumann is a pioneering researcher at the intersection of Human-Computer Interaction (HCI) and artificial intelligence, best known for probing how non-experts perceive machine consciousness. His landmark 2023 paper, “Do You Mind? User Perceptions of Machine Consciousness” (38 citations), bridges a critical gap by empirically investigating whether everyday users attribute consciousness to AI systems and what societal consequences arise from such perceptions. This work challenges conventional HCI boundaries, moving beyond usability to explore the ethical and psychological dimensions of human-AI relationships. Neumann’s contributions illuminate how lay beliefs about machine sentience shape trust, acceptance, and policy debates, offering a foundational framework for designing transparent, ethically-aware technologies. His research has been cited by scholars in cognitive science, robotics, and media studies, underscoring its interdisciplinary reach. By centering user perspectives in a field often dominated by technical or philosophical discourse, Neumann has carved a unique niche—helping to ensure that as AI evolves, so does our understanding of how humans truly “mind” the machines they create.
Research Focus
Key Achievements
Top Papers
- 1Do You Mind? User Perceptions of Machine Consciousness38 citations · 2023