About

Eva Wiese is a cognitive neuroscientist and human-robot interaction researcher whose work sits at the fascinating intersection of social cognition, mind perception, and human-machine collaboration. Best known for her groundbreaking investigations into how humans attribute mental states to artificial agents, Wiese has fundamentally advanced our understanding of what makes robots feel "social" to human observers. Her highly cited 2017 paper on robots as intentional agents (297 citations) established a neuroscientific framework for designing more intuitive human-robot interactions, while her earlier work on intentional stance and attentional selection (240 citations, 2012) revealed how beliefs about others' minds shape even basic perceptual processes. Using EEG and fMRI methodologies, Wiese demonstrated that mind attribution actively modulates brain activity in regions like the right temporo-parietal junction, bridging low-level perception and high-level social reasoning. Her research extends into practical domains, examining how humans seek advice from machines, conform to robot groups, and assign collaborative tasks based on perceived robot minds. With over 1,100 total citations across her top papers, Wiese's scholarship offers indispensable insights for designing robots capable of genuine, intuitive partnership with humans.

Research Focus

Key Achievements

20
H-Index
59
Papers
1,837
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
Robots As Intentional Agents: Using Neuroscientific Methods to Make Robots Appear More Social
297 citations · 2017
📈 Most Prolific Year: 2019 (9 Papers)
🤝 Key Collaborators: 68
🏛 Institutions: George Mason University, Ludwig-Maximilians-Universität München, Technische Universität Berlin, Fraunhofer Institute for Production Systems and Design Technology, Bridge University, Chartered Institute of Ergonomics and Human Factors

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 34 days ago