SOURCE RECORD / S0159
Assessment of mental workload across cognitive tasks using a passive brain-computer interface based on mean negative theta-band amplitudes.
Assessment of mental workload across cognitive tasks using a passive brain-computer interface based on mean negative theta-band amplitudes.
- Authors or organization
- Gallegos Ayala et al.
- Published date
- 2023
- Source type
- peer_reviewed_human_study
- Technology route
- noninvasive EEG
- Function or setting
- mental workload adaptive HCI
- Rights status
- manual_review / CC BY (version unspecified)
Evidence summary
Evidence: Within-person calibrated workload classification. Key figures: high versus low 57.04% not above chance; 6 channels selected globally; low versus no load performed better. Limitations: Not cross-subject; global channel selection across all people and tasks contaminates evaluation; cannot support general workload recognition.
Key figures
high versus low 57.04% not above chance; 6 channels selected globally; low versus no load performed better
Limitations
Not cross-subject; global channel selection across all people and tasks contaminates evaluation; cannot support general workload recognition