Grace S. R. Gillespie
Papers
1
Total Citations
2
H-Index
1
About
Grace S. R. Gillespie is a rising scholar in human-robot interaction (HRI), whose work centers on the social perception of robots and the development of robust psychometric tools to measure it. Her primary research areas include social robotics, human-robot trust, and the measurement of human attitudes toward autonomous systems. Gillespie’s major contribution is the development and validation of the RoSAS-SF (Robotic Social Attributes Scale–Short Form), a streamlined 18-item instrument that retains the psychometric rigor of the original RoSAS while significantly reducing administration time. This work enables more efficient and scalable studies of how people perceive robots along dimensions of warmth, competence, and discomfort. Although her most-cited paper (2025) currently has 2 citations, its methodological importance is underscored by the growing demand for validated, concise measures in HRI research. Gillespie’s achievement lies in bridging the gap between comprehensive assessment and practical usability, making her a key contributor to the methodological toolkit of social robotics. Her work is particularly valuable for researchers seeking to conduct large-scale or time-sensitive studies on human-robot interaction without sacrificing measurement quality.
Research Focus
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Top Papers
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