Laura Saad

About

Laura Saad is a leading researcher in human-robot interaction (HRI), specializing in the psychometric measurement of human perceptions of robots. Her work addresses a critical gap in the field: the lack of rigorously validated tools to assess how people perceive and feel about robots. Saad’s major contribution is the development and validation of the Perceived Danger (PD) Scale, the first psychometrically sound instrument to measure the perceived danger of robots. This 12-item bifactor scale, published in 2025, has already garnered 4 citations, establishing a new standard for quantifying a key emotional response in HRI. She has also systematically validated the widely used Robotic Social Attributes Scale (RoSAS), clarifying its three-factor structure of warmth, competence, and discomfort. Beyond her scale development, Saad is dedicated to advancing methodological rigor in HRI, as demonstrated by her tutorial on finding and evaluating HRI scales. Her work is essential for researchers seeking to measure human-robot interaction with confidence and precision.

Research Focus

Key Achievements

Top Papers

1. 1
   The Perceived Danger (PD) Scale: Development and Validation

   4 citations · 2025
2. 2
   A Tutorial for Finding and Evaluating HRI Scales

   2 citations · 2025
3. 3
   A Systematic Validation of the Robotic Social Attributes Scale (RoSAS)

   2 citations · 2025

Key Collaborators

Contact & Links