Gaze-independent brain-computer interfaces based on covert attention and feature attention

Area of Science:

• Neuroscience
• Human-Computer Interaction
• Biomedical Engineering

Background:

• Conventional visual brain-computer interfaces (BCIs) often rely on event-related potentials, which can be inefficient without eye movements.
• This limitation hinders BCI usability for individuals with certain motor impairments.

Purpose of the Study:

• To develop and evaluate a novel visual speller that does not require eye movements.
• To investigate the efficacy of covert spatial attention and non-spatial feature attention for BCI control.

Main Methods:

• Three variants of a two-stage visual speller were designed.
• An online experiment was conducted with 13 healthy participants to test BCI control accuracy and speed.
• The spellers utilized covert spatial attention and non-spatial feature attention (color and form).

Main Results:

• All participants achieved highly accurate BCI control, selecting one out of thirty symbols with mean accuracies ranging from 88% to 97%.
• The speller operated using non-spatial feature attention exclusively yielded the best performance.
• Performance significantly exceeded the chance level of 3.3%.

Conclusions:

• Feature attention-based visual spellers can achieve high accuracy and speed.
• These novel BCIs are independent of eye gaze, expanding accessibility for individuals with limited eye mobility.
• This technology offers a promising solution for communication and control in challenging BCI applications.