Visually stimulated brain-computer interfaces compete with eye tracking interfaces when using small targets.

Area of Science:

• Neuroscience
• Human-Computer Interaction
• Biomedical Engineering

Background:

• Visually stimulated brain-computer interfaces (BCI) and eye tracking interfaces (ETI) both detect user gaze on screen targets.
• Previous research often investigated these methods independently, raising questions about BCI's usability compared to ETI.
• Doubts regarding the practical application of visual stimuli in BCI persist.

Purpose of the Study:

• To directly compare the performance of BCI and ETI in a controlled visual selection task.
• To evaluate information transfer rates (ITR) and recognition accuracies for both BCI and ETI.
• To determine if BCI with visual stimuli is a viable alternative to ETI.

Main Methods:

• Subjects were tasked with gazing at one of four targets displayed on a screen.
• A similar interface design was employed for both BCI and ETI to ensure a fair comparison.
• Information transfer rates (ITR) and recognition accuracies were measured for each participant and interface type.

Main Results:

• BCI achieved information transfer rates (ITR) comparable to those of ETI.
• BCI demonstrated superior recognition accuracy when targeting smaller visual elements on the screen.
• The study provides empirical evidence for BCI's effectiveness in visual selection tasks.

Conclusions:

• Visually stimulated BCI is a viable and competitive alternative to ETI for certain applications.
• BCI performance is comparable to ETI, particularly for tasks involving small targets.
• This research addresses usability concerns and highlights the potential of BCI in human-computer interaction.