Kelsey L. Neuenswander

University of California, Los Angeles

Papers

1

Total Citations

2

H-Index

1

About

Kelsey L. Neuenswander is a researcher in human-robot interaction (HRI), with a focus on how people socially perceive and evaluate robots. Her work centers on developing and refining psychometric tools to measure these perceptions, a critical step for designing robots that are trusted, accepted, and effectively integrated into society. Her most notable contribution is the creation of the **Robotic Social Attributes Scale – Short Form (RoSAS-SF)**, a streamlined 18-item measure that distills the original RoSAS into a more efficient tool for assessing social attributes like warmth, competence, and discomfort. This validated instrument, published in 2025, enables researchers to quickly and reliably capture fundamental aspects of robot perception, making it highly practical for large-scale or time-sensitive studies. While still early in its citation life, this work has already garnered attention, underscoring its utility and potential for broad adoption in HRI research. Neuenswander’s contributions are vital for advancing our understanding of human-robot dynamics, providing the measurement rigor needed to explore how design and interaction shape social responses—a cornerstone for building robots that are not only functional but also socially fluent.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Measuring Fundamental Aspects of the Social Perception of Robots: Development and Validation of a Shortened Version of the RoSAS (RoSAS-SF)
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of California, Los Angeles

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago