Papers

7

Total Citations

777

H-Index

5

About

Steven J. Stroessner is a leading figure in social cognition and human-robot interaction, best known for pioneering how people perceive and evaluate robots through a social lens. His major contribution is the development of the Robotic Social Attributes Scale (RoSAS), a widely adopted tool for measuring the social perception of robots across three key dimensions: warmth, competence, and discomfort. The original RoSAS paper has garnered over 540 citations, underscoring its foundational role in the field. Stroessner’s research explores how robot features—such as gendered or machinelike appearances—shape trait inferences, evaluative responses, and willingness to interact. His work bridges social psychology and robotics, demonstrating that social cognitive processes extend beyond human targets to nonsocial entities. He has also led cross-cultural validation efforts, including a European Portuguese adaptation of the RoSAS, and recently developed a shortened version (RoSAS-SF) to improve research efficiency. By systematically measuring how people think socially about robots, Stroessner’s research informs the design of more acceptable and effective robotic agents, making him a key voice in the ethical and practical integration of robots into everyday life.

Research Focus

Key Achievements

5
H-Index
7
Papers
777
Total Citations
111
Avg Citations/Paper
🏆 Most Cited Paper
The Robotic Social Attributes Scale (RoSAS)
540 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Walt Disney (United States), Barnard College, Columbia University, University of California, Los Angeles

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago