Suzanne Tolmeijer

Papers

Total Citations

H-Index

About

Suzanne Tolmeijer is a leading researcher in human-robot interaction (HRI), with a primary focus on trust dynamics, failure mitigation, and the ethical deployment of autonomous systems. Her most-cited work, “Taxonomy of Trust-Relevant Failures and Mitigation Strategies” (2020, 93 citations), provides a foundational framework that categorizes HRI failure types and their impact on user trust, systematically mapping knowledge contributions and identifying critical research gaps. This taxonomy has become an essential resource for developing more trustworthy robots and guiding trust repair strategies. Tolmeijer’s research bridges technical system design and human psychology, addressing how robots can recover from errors to maintain effective collaboration. Her contributions are particularly influential in shaping the emerging field of explainable and socially aware robotics, where trust is paramount for real-world adoption. Through her systematic analyses, she has helped define the vocabulary and research agenda for studying trust-relevant failures, making her work indispensable for students and researchers seeking to build reliable, human-centered autonomous systems.