Papers
8
Total Citations
65
H-Index
4
About
Utku Norman investigates the intersection of human-robot interaction (HRI) and education, focusing on how robots can support learning, particularly in computational thinking and collaborative problem-solving. Their major contributions include pioneering the use of learning analytics to interpret robot interaction traces, offering deeper insights into learner behavior and informing robot design. Norman’s work challenges assumptions about robot perception, as shown in their most-cited paper (23 citations), which found that positive robot perception does not necessarily enhance learning outcomes. They have also explored children’s expectations of robots through drawings, providing actionable insights for designers. Notable achievements include developing the JUSThink platform, a collaborative robot-mediated activity that fosters computational thinking, and studying how “misconceiving” robots can improve problem-solving. With over 60 citations across their work, Norman’s research has significant implications for educational technology and HRI design. Their recent exploration of artificial moral agents (2025) extends their impact into ethical AI, making them a key voice in responsible robot deployment.
Research Focus
Key Achievements
Top Papers
- 1When Positive Perception of the Robot Has No Effect on Learning23 citations · 2020
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- 4Drawings for Insight on Preschoolers' Perception of Robots6 citations · 2024
- 5"You Tell, I Do, and We Swap until we Connect All the Gold Mines!".4 citations · 2020
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- 8Artificial Moral Agents: Should Machines Take Ethical Responsibility?1 citations · 2025