Analysis of User Interaction with a Brain-Computer Interface Based on Steady-State Visually Evoked Potentials: Case...

Area of Science:

• Neuroscience
• Human-Computer Interaction
• Computer Science

Background:

• Brain-Computer Interfaces (BCI) offer novel interaction methods.
• Steady-State Visually Evoked Potentials (SSVEP) are a common BCI control signal.
• Understanding user interaction within BCI-controlled environments is crucial for development.

Purpose of the Study:

• To systematically analyze a game controlled by an SSVEP-based BCI.
• To evaluate BCI systems from a Human-Computer Interface (HCI) perspective.
• To assess the influence of interface elements on user interaction and system performance.

Main Methods:

• A computer game, "Get Coins," was developed for BCI control.
• 30 volunteers interacted with the game using an SSVEP-based BCI and a keyboard.
• User interaction data and questionnaire responses on perceptual parameters were collected.

Main Results:

• All volunteers achieved game objectives using the BCI.
• Eight participants achieved a perfect score in at least one BCI-controlled match.
• Feasibility of direct brain-computer communication was demonstrated.

Conclusions:

• SSVEP-based BCIs are feasible for game control and direct brain-computer communication.
• User interaction and interface design significantly impact BCI system performance.
• Further adaptations are needed to enhance user accessibility for BCI technology.