Papers
59
Total Citations
1,837
H-Index
20
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
Top Papers
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- 3Beliefs about the Minds of Others Influence How We Process Sensory Information189 citations · 2014
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- 7Good advice is beyond all price, but what if it comes from a machine?61 citations · 2019
- 8Under Pressure: Examining Social Conformity With Computer and Robot Groups53 citations · 2018
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