Can Your Thoughts Become the Next Virtual Reality Controller?

Imagine putting on a virtual reality headset and entering a virtual world where you don't need to use a controller to interact with the world around you. Instead, your thoughts directly control the system. Although this concept may seem like a science fiction dream, scientists are already working on integrating brain-computer interfaces (BCIs) with virtual reality (VR) to create even more immersive and interactive experiences. With the growing popularity of VR in gaming, education, healthcare, and entertainment, there has been a significant surge in interest regarding mind-controlled virtual environments.

Brain-computer interfaces are devices that convert brain activity into computer-readable instructions. The majority of non-invasive BCIs (BCIs that aren’t directly implanted in the brain) are based on electroencephalography (EEG), which measures electrical signals from the surface scalp through sensors. BCIs were first designed to assist people with disabilities communicate and interact with technology, but are now being investigated for many new applications. The integration of BCIs with VR is particularly intriguing, as virtual environments can offer immersive experiences and rich feedback that is not possible with traditional computer systems. These technologies could revolutionize the way people interact with digital environments [2], [4], [16].

A New Way to Interact

Today's VR systems are mostly based on hand-held controllers, motion sensors, or gesture tracking. These technologies are successful, but still require physical interaction with external devices. This may restrict immersion as users are conscious of the technology that is separating them from the virtual environment.

BCIs are thought to be able to overcome this barrier. BCIs could enable people to control their bodies without moving them by interpreting their neural activity. Research has already shown that users are able to complete simple tasks in virtual environments using EEG signals instead of traditional controllers. In one study, participants were able to control a game using only brain activity, demonstrating that EEG-based interaction is already possible for basic gameplay [15]. Other researchers talk about how BCI-VR systems are a communication platform where brain activity serves as the input while virtual reality provides immediate feedback [4].

 

Figure 1. Example of a user wearing both a VR headset and an EEG headset during a brain-computer interface experiment. Adapted from [3]

More recent studies have gone a step further by combining EEG with eye tracking, motion capture, and muscle sensing. These multimodal systems have been shown to improve interaction accuracy and reduce some of the limitations of using EEG alone, making virtual interactions feel more natural [2]. These hybrid solutions can enhance the accuracy and reliability of the interactions and make them more natural. Future systems may not replace all the traditional controls, but rather use multiple sources of information to gain a better understanding of user intentions.

Researchers are also interested in BCI technology because of its accessibility. Traditional VR systems need a controller and physical motion. These requirements may restrict access to virtual experiences for people with physical disabilities. BCIs could offer new possibilities to those who are unable to control a conventional system easily, since they are based on neural activity as an input mechanism. Although the technology is still in the beginning stages, researchers are working on ways to make BCI-VR systems more inclusive and accessible to a broader audience [8], [16].

The uses of this technology extends beyond gaming. If virtual systems can interpret the intentions of users directly from neural activity, the human-computer interaction could be much more intuitive than it is now.

How Virtual Touch Feels Real

The study of immersion and presence is one of the more intriguing fields of BCI-VR research. Immersion is the extent to which users become engrossed in a virtual environment, and presence is the sense of being there.

Scientists have found that cleverly engineered sensory feedback systems can greatly enhance both experiences. One recent study compared virtual touch with real physical touch by measuring participants' brain activity [6]. Researchers found that both experiences activated similar regions in the brain, suggesting that the brain can respond to virtual touch in ways that resemble real physical contact. Another study found that combining visual imagery with haptic feedback increased user satisfaction and immersion, helping participants feel more connected to the virtual environment rather than simply observing it [1].

Figure 2. Haptic feedback allows users to experience touch sensations in virtual environments, increasing immersion and making interactions feel more realistic. Adapted from [1]

These findings suggest that future VR systems could become far more convincing than those available today. If the brain responds to some virtual experiences in ways similar to real ones, advanced haptic devices and BCIs may eventually allow users to interact with virtual objects more naturally. As these technologies continue to improve, virtual environments could feel more and more realistic, making users more fully immersed in the experience. 

The study of the role of realistic sensory feedback in learning and memory is also interesting. Studies suggest that greater immersion and sensory feedback can improve user engagement during training and rehabilitation [1], [5]. VR systems that can generate more powerful sensations of presence and brain-to-computer interaction could lead to greater involvement in training simulations and educational experiences. This can be very useful in areas like engineering, medicine, aviation, and emergency response, where realistic simulations can help develop skills without the real-world dangers. Imagine an engineering student learning to operate heavy equipment, a medical student practicing a surgical procedure, or firefighters training for emergencies inside a virtual environment that adapts to their stress or attention levels. Researchers believe BCI-VR systems could eventually make these simulations more personalized by responding directly to each user's cognitive state [3].  [14].

This won’t just make VR more fun, but its benefits of improved immersion also have practical applications in education, job training, rehabilitation, and medical treatment. As the virtual experiences become more realistic, they can become more valuable in the learning of new skills and the practice of complex tasks.

VR Adapts to You

The most promising prospect is virtual environments that can automatically adjust to users depending on their cognitive and emotional conditions.

The traditional software acts the same way, no matter who is using it. BCI-integrated VR systems could be different. These systems can track neural activity and potentially measure things like attention, stress, workload, and emotional reactions. The virtual environment could then adapt itself in real-time.

Imagine a training simulation or game that becomes more challenging when it detects boredom or provides additional guidance when it senses confusion. Researchers have already developed experimental systems capable of monitoring attention, stress, cognitive workload, and emotional responses using EEG signals [10], [14]. Instead of waiting for users to react, these systems can adjust the virtual environment in real time based on changes in brain activity. Some researchers have even proposed creating "digital avatars" that represent a user's emotions, intentions, and cognitive state inside virtual worlds [3], [7]. Although these ideas are still experimental, they demonstrate how BCIs could eventually move beyond replacing controllers and begin creating truly adaptive virtual experiences. 

Many of these ideas are still in their early years, but they show how BCIs could make VR a dynamic experience that adapts to the user.

The Challenges That Come With It

While BCI-VR systems are exciting, there are still many challenges to be addressed.

One of the biggest challenges is signal accuracy. Brain signals are complicated and hard to decipher in a predictable manner. There are many systems that use EEG that need a lot of training before users can control them. There is also a phenomenon called "BCI illiteracy" in which some people are unable to produce the neural signals that can be understood by the system [2], [5].

Another problem is cybersickness. Just like motion sickness, some users may feel dizzy, uncomfortable or tired after extended periods of VR use. Some users may find the addition of brain monitoring equipment to be more complicated and less comfortable.

Ethical concerns are going to be one of the harder issues that everyday people are going to have. Neural data differs from much other digital information because it has the potential to reveal far more than a person's online activity [3]. Depending on how advanced BCI systems become, brain signals may provide insights into attention levels, emotions, stress, fatigue, and even aspects of a person's cognitive state. Unlike passwords or browsing history, neural data is directly connected to how we think and feel. As BCI technology advances, there are important questions about who should have access to this information, how it should be stored, and whether users can truly control how their brain data is used. Protecting neural privacy may become just as important as improving the technology itself.

There are also many technical constraints that will need to be overcome. To process neural data in real-time, advanced computing systems, sophisticated machine-learning algorithms, and reliable sensors are needed [2], [5].

These challenges are no indication that the technology is not viable. Rather, they point out the tasks that need to be done before BCI-VR systems can be widely available.

Where Do We Go From Here?

The most significant takeaway from the ongoing BCI-VR research is that there is steady progress in human-computer interaction that is more natural and immersive.

Research indicates that BCIs could one day directly control virtual environments based on thoughts, feelings, attention and intentions [2], [3]. These systems have the potential to enhance the gaming experience, education and training, medical rehabilitation, and even new ways of digital interaction.

Meanwhile, there are major technical and ethical hurdles to be addressed. Before such technologies become commonplace, there are several challenges to overcome, such as enhancing signal accuracy, minimizing user discomfort, and safeguarding neural privacy.

While there are still many experimental applications of BCI-VR in use today, the research is progressing at a rapid pace. Advances in machine learning, sensor technology and computing power are making it easier to process neural signals with greater accuracy and in less time. As wearable devices get smaller and more comfortable, future systems could be viable for the general public instead of just laboratories and research institutions. Although full VR with thought control may be still a long way off, the advancements in the last ten years indicate that the technology is steadily progressing towards real-world applications.

As scientists continue exploring the relationship between the human brain and virtual environments, the future of virtual reality will depend not only on technological breakthroughs, but also on how society chooses to balance innovation with privacy, ethics, and human trust.

Works Cited

[1]

A. Lu, M. Huang, L. Tang, and R. Yang, “Enhancing Usability with Virtual Imagery: Insights into Feedback Mechanism from a BCI-VR Integrated System,” in 2024 10th International Conference on Virtual Reality (ICVR), Jul. 2024, pp. 121–126. doi: 10.1109/ICVR62393.2024.10869259.

[2]

D. Wen, B. Liang, Y. Zhou, H. Chen, and T.-P. Jung, “The Current Research of Combining Multi-Modal Brain-Computer Interfaces With Virtual Reality,” IEEE Journal of Biomedical and Health Informatics, vol. 25, no. 9, pp. 3278–3287, Sep. 2021, doi: 10.1109/JBHI.2020.3047836.

[3]

H. Y. Zhu, N. Q. Hieu, D. T. Hoang, D. N. Nguyen, and C.-T. Lin, “A Human-Centric Metaverse Enabled by Brain-Computer Interface: A Survey,” IEEE Communications Surveys & Tutorials, vol. 26, no. 3, pp. 2120–2145, 2024, doi: 10.1109/COMST.2024.3387124.

[4]

X. Tan, Y. Li, and Y. Gao, “Combining brain-computer interface with virtual reality: Review and prospect,” in 2017 3rd IEEE International Conference on Computer and Communications (ICCC), Dec. 2017, pp. 514–518. doi: 10.1109/CompComm.2017.8322599.

[5]

S. E. Kober, G. Wood, and L. M. Berger, “Controlling Virtual Reality With Brain Signals: State of the Art of Using VR-Based Feedback in Neurofeedback Applications,” Appl Psychophysiol Biofeedback, vol. 50, no. 4, pp. 593–612, Dec. 2025, doi: 10.1007/s10484-024-09677-8.

[6]

E. Savalle, L. Pillette, K. Won, F. Argelaguet, A. Lécuyer, and M. Macé, “Does your brain feel virtual touch as a physical touch? Influence of haptics and cognitive workload on touch perception in VR,” in 2026 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), Mar. 2026, pp. 131–139. doi: 10.1109/VR67842.2026.00036.

[7]

V. Ramu and K. Lakshminarayanan, “Virtual Embodiment: Revolutionizing Motor Imagery in VR-Enabled BCI with Digital Twins,” in 2024 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), Jul. 2024, pp. 1–6. doi: 10.1109/CONECCT62155.2024.10677025.

[8]

C. Pengcheng and G. Nuo, “Research of VR-BCI and Its Application in Hand Soft Rehabilitation System,” in 2021 IEEE 7th International Conference on Virtual Reality (ICVR), May 2021, pp. 254–261. doi: 10.1109/ICVR51878.2021.9483707.

[9]

P. Li, A. Wei, F. Peng, N. Zhang, C. Chen, and Q. Wei, “Virtual Reality Roaming System Design Based on Motor Imagery-Based Brain-Computer Interface,” in 2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC), Mar. 2022, pp. 1619–1623. doi: 10.1109/ITOEC53115.2022.9734519.

[10]

L. Lange, J. Yenney, and Y. C. Wu, “Dynamic VR Modulation with EEG Feedback for Psychedelic Simulation,” in 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Mar. 2025, pp. 1414–1415. doi: 10.1109/VRW66409.2025.00353.

[11]

L. Jayaraj, J. Wood, A. Reifer, and E. Braund, “Experience in a VR Cricket Game Using Brain Computer Interaction (BCI),” in 2025 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR), Jan. 2025, pp. 248–251. doi: 10.1109/AIxVR63409.2025.00047.

[12]

N. Q. Hieu, D. T. Hoang, D. N. Nguyen, and E. Dutkiewicz, “Enabling Immersion and Presence in the Metaverse with Over-the-Air Brain-Computer Interface [arXiv],” arXiv, no. Copyright 2023, The Institution of Engineering and Technology, Mar. 2023.

[13]

Z. Chu, J. Wang, X. Jiang, C. Liu, and L. Li, “MIND-VR: A Utility Approach of Human-Computer Interaction in Virtual Space based on Autonomous Consciousness,” in 2022 International Conference on Virtual Reality, Human-Computer Interaction and Artificial Intelligence (VRHCIAI), Oct. 2022, pp. 134–138. doi: 10.1109/VRHCIAI57205.2022.00030.

[14]

Z. Y. Chin, Z. Zhang, C. Wang, and K. K. Ang, “An Affective Interaction System using Virtual Reality and Brain-Computer Interface,” in 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Nov. 2021, pp. 6183–6186. doi: 10.1109/EMBC46164.2021.9630045.

[15]

Y. Chen, “Design of a game control system based on Brain-computer interface: link to a game,” in 2021 2nd International Conference on Computing and Data Science (CDS), Jan. 2021, pp. 255–258. doi: 10.1109/CDS52072.2021.00051.

[16]

L. M. Alonso-Valerdi and V. R. Mercado-García, “Enrichment of human-computer interaction in brain-computer interfaces via virtual environments,” Computational Intelligence and Neuroscience, vol. 2017, p. 6076913, 2017, doi: 10.1155/2017/6076913.