Papers

10

Total Citations

100

H-Index

6

About

Kevin Koban investigates the psychological foundations of human-robot interaction, focusing on how people perceive mind, morality, and trust in social machines. His research reveals that humans apply distinct cognitive frameworks to robots, often treating them as a separate category rather than simply extending human stereotypes. In his highly cited work “It feels, therefore it is” (32 citations), Koban demonstrates that mind perception in robots is closely tied to how people ascribe mental capacities to them. His studies on prototypical interactions show that whether a robot is engaged socially, in tasks, or play fundamentally shapes moral judgments and trust. Koban’s application of intergroup contact theory to human-robot relations (12 citations) offers novel insights into reducing prejudice toward robots. His work on framing effects (10 citations) reveals how discursive structures influence perceptions of robotic moral behavior. Through comprehensive experimental designs and secondary analyses of multiple studies, Koban has established himself as a leading voice in understanding the psychological boundaries between humans and machines, with implications for designing more effective and ethically sound social robots.

Research Focus

Key Achievements

6
H-Index
10
Papers
100
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
It feels, therefore it is: Associations between mind perception and mind ascription for social robots
32 citations · 2023
📈 Most Prolific Year: 2021 (4 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Vienna, Texas Tech University, Twitter (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago