Trenton Schulz
Papers
18
Total Citations
161
H-Index
7
About
Trenton Schulz is a human-robot interaction researcher whose work sits at the intersection of robot movement, communication, and social applications. His most significant contribution lies in systematically exploring how animation principles — particularly the "slow in, slow out" velocity profile borrowed from film — can shape human perceptions of robots, with his 2019 systematic literature review on animation techniques in HRI earning 50 citations and establishing a foundational reference in the field. Schulz has also investigated how subtle differences in robot movement affect trust and perception during collaborative tasks, building a nuanced empirical understanding of robotic motion design. Beyond movement, his work extends into robot communication more broadly, proposing a novel typology of communicative robot signals informed by ethology. A notable applied strand of his research addresses social robotics in education, particularly using robots to support language learning among immigrant children in Norwegian day-care centers, demonstrating real-world impact in underserved communities. His exploration of privacy negotiation with robots further reflects a commitment to understanding the ethical and social dimensions of human-robot cohabitation. With over 130 cumulative citations, Schulz represents a thoughtful voice bridging technical robot design and its deeply human consequences.
Research Focus
Key Achievements
Top Papers
- 1Animation Techniques in Human-Robot Interaction User Studies50 citations · 2019
- 2Robot-Enhanced Language Learning for Children in Norwegian Day-Care Centers16 citations · 2021
- 3Walking Away from the Robot: Negotiating Privacy with a Robot13 citations · 2017
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- 5Communicative Robot Signals10 citations · 2023
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