Papers

3

Total Citations

39

H-Index

2

About

Marcel Finkel investigates the intersection of human-robot interaction and social cognition, focusing on how people perceive and engage with social and humanoid robots. His work centers on source credibility, behavioral adaptation, and the critical factors that drive or deter human-robot interaction in public spaces. In his highly cited 2022 study, "Humanoid Robots – Artificial. Human-like. Credible?" (31 citations), Finkel empirically compared credibility attributions between humans, humanoid robots, and non-human-like devices, revealing that humanoid robots can achieve comparable credibility to humans under certain conditions—a foundational insight for designing trustworthy robotic communicators. His 2023 study (7 citations) explored user perceptions of robots that adapt their behavior and persona between different users, highlighting the delicate balance between beneficial personalization and the discomfort of perceived inconsistency. Most recently, his 2025 work (1 citation) examines people's choices for or against initiating interactions with social robots in employee-support roles, addressing a practical barrier to real-world deployment. By combining experimental rigor with real-world relevance, Finkel’s research provides essential guidance for engineers and designers aiming to create robots that are not only functional but also socially accepted.

Research Focus

Key Achievements

2
H-Index
3
Papers
39
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Humanoid Robots – Artificial. Human-like. Credible? Empirical Comparisons of Source Credibility Attributions Between Humans, Humanoid Robots, and Non-human-like Devices
31 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Duisburg-Essen, Ruhr West University of Applied Sciences

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago