ArticleComputational intelligence and neuroscience2019
Impact of Speller Size on a Visual P300 Brain-Computer Interface (BCI) System under Two Conditions of Constraint for Eye Movement.
Article in Computational intelligence and neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- ChatBCI, a P300 speller BCI with context-driven word prediction leveraging large language models, from concept to evaluation.Scientific reports · 2026Article
- Visual ERP-based brain-computer interface use with severe physical, speech and eye movement impairments: case studies.Journal of neuroengineering and rehabilitation · 2025Article
- P300 ERP System Utilizing Wireless Visual Stimulus Presentation Devices.Sensors (Basel, Switzerland) · 2025Article
- Comparison of Two Paradigms Based on Stimulation with Images in a Spelling Brain-Computer Interface.Sensors (Basel, Switzerland) · 2023Article
- Effect of Stimulus Size in a Visual ERP-Based BCI under RSVP.Sensors (Basel, Switzerland) · 2022Article
- Artificial Intelligence Algorithms in Visual Evoked Potential-Based Brain-Computer Interfaces for Motor Rehabilitation Applications: Systematic Review and Future Directions.Frontiers in human neuroscience · 2021Review
- Effects of Skin Friction on Tactile P300 Brain-Computer Interface Performance.Computational intelligence and neuroscience · 2021Article
- Single-Option P300-BCI Performance Is Affected by Visual Stimulation Conditions.Sensors (Basel, Switzerland) · 2020Article
- Human visual skills for brain-computer interface use: a tutorial.Disability and rehabilitation. Assistive technology · 2020Review
- P300-Based Brain-Computer Interface Speller: Usability Evaluation of Three Speller Sizes by Severely Motor-Disabled Patients.Frontiers in human neuroscience · 2020Article
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Authors and funding
6 authors.
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Abstract
The vast majority of P300-based brain-computer interface (BCI) systems are based on the well-known P300 speller presented by Farwell and Donchin for communication purposes and an alternative to people with neuromuscular disabilities, such as impaired eye movement. The purpose of the present work is to study the effect of speller size on P300-based BCI usability, measured in terms of effectiveness, efficiency, and satisfaction under overt and covert attention conditions. To this end, twelve participants used three speller sizes under both attentional conditions to spell 12 symbols. The results indicated that the speller size had, in both attentional conditions, a significant influence on performance. In both conditions (covert and overt), the best performances were obtained with the small and medium speller sizes, both being the most effective. The speller size did not significantly affect workload on the three speller sizes. In contrast, covert attention condition produced very high workload due to the increased resources expended to complete the task. Regarding users' preferences, significant differences were obtained between speller sizes. The small speller size was considered as the most complex, the most stressful, the less comfortable, and the most tiring. The medium speller size was always considered in the medium rank, which is the speller size that was evaluated less frequently and, for each dimension, the worst one. In this sense, the medium and the large speller sizes were considered as the most satisfactory. Finally, the medium speller size was the one to which the three standard dimensions were collected: high effectiveness, high efficiency, and high satisfaction. This work demonstrates that the speller size is an important parameter to consider in improving the usability of P300 BCI for communication purposes. The obtained results showed that using the proposed medium speller size, performance and satisfaction could be improved.
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