A covert attention P300-based brain–computer interface: Geospell
Abstract
The Farwell and Donchin P300 speller interface is one of the most widely used brain-computer interface (BCI) paradigms for writing text. Recent studies have shown that the recognition accuracy of the P300 speller decreases significantly when eye movement is impaired. This report introduces the GeoSpell interface (Geometric Speller), which implements a stimulation framework for a P300-based BCI that has been optimised for operation in covert visual attention. We compared the Geospell with the P300 speller interface under overt attention conditions with regard to effectiveness, efficiency and user satisfaction. Ten healthy subjects participated in the study. The performance of the GeoSpell interface in covert attention was comparable with that of the P300 speller in overt attention. As expected, the effectiveness of the spelling decreased with the new interface in covert attention. The NASA task load index (TLX) for workload assessment did not differ significantly between the two modalities. PRACTITIONER SUMMARY: This study introduces and evaluates a gaze-independent, P300-based brain-computer interface, the efficacy and user satisfaction of which were comparable with those off the classical P300 speller. Despite a decrease in effectiveness due to the use of covert attention, the performance of the GeoSpell far exceeded the threshold of accuracy with regard to effective spelling.
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The effectiveness of covert attention P300 BCI is lower than BCI based on overt attention P300.
“Although its effectiveness is lower than BCI based on overt attention P300 [87].”
From IENet: a robust convolutional neural network for EEG based brain-computer interfaces (2022) · cites this paper as [87]
The differences between overt attention P300 and covert attention P300 have been found in [87].
“These differences between overt attention P300 and covert attention P300 have been found in [87].”
From IENet: a robust convolutional neural network for EEG based brain-computer interfaces (2022) · cites this paper as [87]
The contribution of the VEP to the classification stage using covert attention P300 based interface was significantly lower compared with using overt attention P300 based interface, as reported in [87].
“This finding supports results previously reported in [87], where they found that the contribution of the VEP to the classification stage using covert attention P300 based interface was significantly lower compared with using overt attention P300 based interface.”
From IENet: a robust convolutional neural network for EEG based brain-computer interfaces (2022) · cites this paper as [87]
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IENet: a robust convolutional neural network for EEG based brain-computer interfaces
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“In the stimulus interface of the covert attention P300 based BCI [87], only six characters were evenly distributed at the vertices of the hexagon at a time, marked by the gaze cross.”
BackgroundMethodResultInfluential
- Authors
- Aloise, F., Aricò, P., Schettini, F., Riccio, A., Salinari, S., Mattia, D., Babiloni, F., & Cincotti, F.
- Affiliations
- a Neuroelectrical Imaging and BCI Lab, Fondazione Santa Lucia IRCCS , Rome , Italy
- Fondazione Santa Lucia (IT)
- Sapienza University of Rome (IT)
- Venue
- Ergonomics
- Publisher
- Informa UK Limited
- Published
- 2012-03-29
- Volume
- 55
- Issue
- 5
- Pages
- 538-551
- ISSN
- 0014-0139 (ISSN-L)
- 1366-5847
- OpenAlex
- W2083953935
- Cited by
- 88
- References
- 35
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 3 · 2023: 7 · 2022: 10 · 2021: 8 · 2020: 6 · 2019: 8 · 2018: 6 · 2017: 5 · 2016: 7 · 2015: 6 · 2014: 6 · 2013: 9 · 2012: 3
- FWCI
- 3.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Ergonomics (publishedVersion)
- PubMed (publishedVersion)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Keywords
- P300 speller, covert visual attention, brain-computer interface, user satisfaction, workload, NASA-TLX
- MeSH terms
- Adult, Brain, Communication Devices for People with Disabilities, Female, Humans, Italy, Male, Software, User-Computer Interface, Writing, Young Adult
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