Nina McPhaul
Papers
1
Total Citations
3
H-Index
1
About
Nina McPhaul is a researcher at the intersection of human-robot interaction (HRI) and crowdsourcing, with a focus on how task design shapes participant behavior and data quality. Her work explores the subtle but powerful influence of framing and content in eliciting agreement from crowd workers, a critical factor in scaling HRI experiments. In her most-cited paper, “Content Is King: Impact of Task Design for Eliciting Participant Agreement in Crowdsourcing for HRI” (2020), she demonstrates that the wording and structure of tasks can significantly bias participant responses, offering practical guidelines for designing more neutral, reliable crowd-sourced studies. While her citation count is modest, her contributions are foundational for researchers seeking to improve the validity of remote HRI evaluations—a growing necessity as robotics research expands online. McPhaul’s work underscores a key insight: in crowdsourced HRI, the medium is not the only message; the task’s content truly is king. Her research is a must-read for students and scholars designing experiments that depend on unbiased human input.
Research Focus
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Top Papers
- 1