Valarie Yerdon

Papers

Total Citations

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About

Valarie Yerdon’s research lies at the critical intersection of human-robot interaction and trust dynamics, exploring how people develop and calibrate trust in autonomous systems. Her most influential work, “A Comparison of Trust Measures in Human–Robot Interaction Scenarios” (2016, 26 citations), provides foundational insights into how trust can be reliably measured across different interaction contexts. In her complementary study “Specifying Influences that Mediate Trust in Human-Robot Interaction” (2016), Yerdon conducted a rigorous experiment examining how robot appearance and reliability shape user trust levels. Participants interacted with three distinct robot forms that either behaved reliably or unreliably across multiple trials, revealing that both physical design and behavioral consistency significantly mediate trust formation. This work is particularly notable for its experimental design, which included a final trial to assess how trust recovers after reliability violations. Though her citation counts are modest, Yerdon’s contributions are valuable for researchers designing trustworthy robots in healthcare, service, and collaborative settings. Her systematic approach to measuring and specifying trust antecedents offers practical guidance for engineers and interaction designers seeking to build more effective human-robot partnerships.