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A Feasibility Study for Validating Robot Actions Using EEG-Based Error-Related Potentials
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HRI is an EEG dataset recorded with 32 active electrodes (27 scalp EEG, all analyzed here, plus 3 electrooculography and 2 mastoid reference) designed to elicit ErrP during a choice-reaction-time task with cursor-movement feedback.
“HRI 2 is an EEG dataset recorded with 32 active electrodes (27 scalp EEG, all analyzed here, plus 3 electrooculography and 2 mastoid reference) designed to elicit ErrP during a choice-reaction-time task with cursor-movement feedback [32].”
From ERP-XTTN: interpretable prototype-guided cross-attention for cross-subject ERP classification (2026) · cites this paper as [32]
Ethical approval for the original data collection was obtained by the original investigators: the ERP CORE dataset was approved by the Institutional Review Board at the University of California, Davis, and the HRI ErrP dataset was approved by the ethics commission of the Faculty of Medicine, Technische Universität München (reference number 236/15s).
“Ethical approval for the original data collection was obtained by the original investigators: the ERP CORE dataset was approved by the Institutional Review Board at the University of California, Davis [33]; the HRI ErrP dataset was approved by the ethics commission of the Faculty of Medicine, Technische Universit¨ at M¨ unchen (reference number 236/15s) [32].”
From ERP-XTTN: interpretable prototype-guided cross-attention for cross-subject ERP classification (2026) · cites this paper as [32]
Citations
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ERP components on reaction errors and their functional significance: A tutorial
Falkenstein, M., Hoormann, J., Christ, S., & Hohnsbein, J. (2000) · Biological Psychology · doi:10.1016/s0301-0511(99)00031-9 · Cited by 1,442 · cited 3×
“Traditionally, the study of ErrPs was largely performed using choice-reaction time tasks (CRT) and variants [16,25].”
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ERP-XTTN: interpretable prototype-guided cross-attention for cross-subject ERP classification
Genevier Wyman, C., & Hirshfield, L. (2026) · Journal of Neural Engineering · doi:10.1088/1741-2552/ae9f95
“They are drawn from three public sources: the BNCI Horizon 2020 dataset (BNCI) [31], the HRI Cursor ErrP dataset (HRI) [32], and ERP CORE [33].”
Metadata
- Authors
- Ehrlich, S. K., & Cheng, G.
- Affiliations
- Technical University of Munich (DE)
- Corresponding author
- Ehrlich, Stefan K.
- Venue
- International Journal of Social Robotics
- Published
- 2018-11-02
- Volume
- 11
- Issue
- 2
- Pages
- 271-283
- ISSN
- 1875-4791 (ISSN-L)
- 1875-4805
- OpenAlex
- W2898324619
- Cited by
- 58
- References
- 2
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 11 · 2023: 10 · 2022: 10 · 2021: 6 · 2020: 8 · 2019: 5
- FWCI
- 2.83
- Type
- journal article
- Language
- en
- Open access
- green
- mediatum.ub.tum.de
- Licence
- other-oa
- www.springer.com/tdm (tdm)
- Locations
- International Journal of Social Robotics (publishedVersion)
- mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion, other-oa)
- Funders
- Deutsche Forschungsgemeinschaft
- International Graduate School of Science and Engineering
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
- Keywords
- error-related potentials, EEG decoding, human-robot interaction, humanoid robots, real-time assessment, cross-task generalization
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