Andrea Grundke

University of Würzburg

Papers

4

Total Citations

47

H-Index

4

About

Andrea Grundke investigates the psychological tensions at the heart of human-machine interaction, focusing on how people perceive and respond to increasingly sophisticated robots and AI systems. Her research reveals that advanced machines—particularly those capable of outperforming humans or appearing to "read minds"—can trigger profound social threats, including threats to human uniqueness and status. In her highly cited 2022 work (21 citations), Grundke demonstrated that depicting robots in harmful situations paradoxically improves their evaluations, challenging assumptions about anthropomorphism and empathy toward machines. Her 2023 study (12 citations) showed that machines outperforming humans evoke status threat, reducing willingness to collaborate with them in workplace contexts. She has also explored distinct user responses to thought-detecting versus emotion-detecting robots (2022, 9 citations), and how individual differences shape aversion to machines with complex mental abilities (2024). By bridging social psychology, human-robot interaction, and technology acceptance, Grundke’s work illuminates the emotional and cognitive barriers that must be overcome for successful human-AI collaboration—insights critical for designing robots that users trust, accept, and willingly work alongside.

Research Focus

Key Achievements

4
H-Index
4
Papers
47
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Improving evaluations of advanced robots by depicting them in harmful situations
21 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Würzburg

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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