Papers

6

Total Citations

208

H-Index

5

About

Olga A. Wudarczyk is a pioneering researcher at the intersection of social robotics, cognitive neuroscience, and psychology, whose work fundamentally explores how humans perceive, interact with, and attribute social qualities to robots. Her major contributions center on the psychological mechanisms underlying human-robot interaction (HRI), particularly the implicit and explicit attitudes that shape our behavior toward artificial agents. Her highly cited 2021 study (102 citations) on ascribing emotions to robots revealed that people implicitly attribute emotions to robots, influencing perceived anthropomorphism—a finding with profound implications for robot design and social acceptance. She further developed the Attitudes Towards Robots Measure (ARM), a validated tool that consolidates previous scales to provide a standardized metric for assessing human attitudes toward robots. Wudarczyk’s interdisciplinary approach is exemplified in her work on robots facilitating human language production and her collaborative framework for integrating robotics, neuroscience, and psychology. Her research demonstrates that prior attitudes predict not only explicit evaluations but also semantic distance between humans and robots, anthropomorphism, and prosocial behavior. With over 200 citations across her key publications, Wudarczyk is shaping the future of socially intelligent robotics, offering critical insights for designing robots that can engage in natural, cooperative, and emotionally resonant interactions with humans.

Research Focus

Key Achievements

5
H-Index
6
Papers
208
Total Citations
35
Avg Citations/Paper
🏆 Most Cited Paper
Ascribing emotions to robots: Explicit and implicit attribution of emotions and perceived robot anthropomorphism
102 citations · 2021
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Humboldt-Universität zu Berlin, IU International University of Applied Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago