Enrichment of Human-Computer Interaction in Brain-Computer Interfaces via Virtual Environments.

Area of Science:

• Cognitive Science
• Human-Computer Interaction
• Neuroscience

Background:

• Tridimensional representations and virtual environments (VEs) are fundamental to human-computer interaction (HCI).
• Cognitive processes like spatial memory, attention, and perception are key during user navigation in VEs.
• VEs possess unique features such as involvement, immersion, and presence, which can enhance HCI, particularly in demanding systems like brain-computer interfaces (BCI).

Purpose of the Study:

• To explore the potential of VEs in addressing the limitations of current brain-computer interface (BCI) technology.
• To investigate how VEs can improve the efficiency and reliability of BCIs.

Main Methods:

• The study reviews existing evidence on the application of VEs in HCI and BCI.
• It analyzes the cognitive processes involved in VE navigation and their relevance to BCI.

Main Results:

• VEs can establish optimal working conditions for BCI systems.
• VEs can enhance the efficiency of BCI control interfaces.
• VEs enable navigation systems that integrate user intentions and emotions.
• VEs can help regulate user mental states to improve control and non-control modality differentiation.

Conclusions:

• Virtual environments offer a promising approach to overcoming current challenges in brain-computer interface technology.
• By leveraging cognitive processes and unique features of VEs, HCI can be significantly improved for BCI applications, leading to more effective and reliable communication channels.