Muyleng Ghuy

Papers

Total Citations

122

H-Index

About

Muyleng Ghuy is a leading voice in human-robot interaction (HRI), dedicated to strengthening the methodological foundations of the field. Her research focuses on the critical intersection of statistical rigor and HRI, specifically targeting the misuse and misinterpretation of Likert scales—a common tool for measuring human perceptions of robots. Ghuy’s major contribution is a systematic, evidence-based critique of prevailing statistical practices. Her landmark work, “Four Years in Review” (2020, 65 citations), and its follow-up, “Concerning Trends in Likert Scale Usage” (2022, 46 citations), together provide a comprehensive audit of how HRI studies have mishandled ordinal data, often treating it as interval data. By exposing these widespread errors, she has not only highlighted a significant source of potential bias but also offered clear, actionable guidelines for improvement. Her impact is measurable: these papers have become essential reading for HRI researchers seeking to improve the validity and reproducibility of their work. Ghuy’s scholarship is a call for methodological maturity, ensuring that as robots become more prevalent, the science behind our understanding of their interaction with humans becomes equally robust.