Max Pellert
Papers
2
Total Citations
48
H-Index
2
About
Max Pellert is a leading researcher at the intersection of computational social science and human-robot interaction. His work explores how people emotionally respond to robotic technologies, both in controlled experiments and in real-world online discourse. In his highly cited 2021 study, *Emotional reactions to robot colleagues in a role-playing experiment* (32 citations), Pellert conducted three large-scale scenario-based surveys with over 3,000 participants from the United States, revealing nuanced emotional responses to working alongside robots. Complementing this, his work *Emotional talk about robotic technologies on Reddit* (16 citations) uses sentiment analysis and computational methods to map how people discuss robots across life domains, motivations, and temporal themes in natural social media conversations. By blending experimental design with big data analytics, Pellert provides critical insights into the social and emotional dimensions of automation. His research is essential for understanding public acceptance of AI and robotics, with implications for workplace design, technology policy, and human-centered AI development.
Research Focus
Key Achievements
Top Papers
- 1Emotional reactions to robot colleagues in a role-playing experiment32 citations · 2021
- 2