Redefining the XR space; AI Edition

Augmented, virtual and mixed reality solutions offer innovative ways to engage with users, streamline operations and stay ahead of the competition. With the addition of AI into the mix, we can go further; delivering personalised, intelligent and interactive solutions that catch interest, drive results and ultimately leave a lasting effect.

Here are just a few of the possibilities:


By analysing user behaviour and interaction patterns, it’s possible to curate content that resonates with each individual user. This could include suggesting relevant educational modules based on the user’s existing knowledge gaps or even immersive gaming experiences that support a user’s preferred play style.

Object Recognition and Tracking

Object recognition and target-based tracking has existed for some time now, but AI-powered computer vision algorithms can now recognise and track real-world objects (e.g. walls, floors, furniture) and surfaces in real-time, and allow virtual objects to interact seamlessly with the physical environment more so than previous primitive options available.

harmony produced demo of objection recognition using opencv

The photo above demonstrates the use of OpenCV object detection, in this case using the YOLOX object detection model – there are many others available. As you can see, there is a level of certainty per object detected, with only 2 out of the 4 in this frame being identified correctly; the accuracy of a given model can be improved with specialised training.

Adaptive Learning and Training Environments

With education and training solutions, AI can play a role in creating adaptive learning environments that cater to learning styles and abilities. You could adjust the difficulty, pacing, and tailor the reinforcement of training to optimise learning outcomes. In this way, you could expect to see a higher interest level and a slower decline of user involvement simply by taking the individual user’s abilities into account.

NLP (Natural Language Processing)

NLP capabilities can enable more natural and intuitive interactions within the AR/VR/MR space. NLP allows the support of on-the-fly dialogue creation that responds better to the inputs provided by the user. It’s already being talked about in the gaming industry to produce less robotic NPC characters!

Harmony studios using Natural language processing (NLP) with Oculus VR headset

Headsets like the Oculus Quest 2, can support NLP features that allow users to interact with experiences more flexibly.

Health Monitoring and Feedback

Experiences can take user biometric data, such as heart rate and body movement, into account to provide real-time feedback and adapt the experience based on the user’s physiological responses. We have already seen this in action in our relaxing Zen VR experience, where the environment can tune itself in line with a user’s stress levels using EEG brain wave monitoring technology.

Harmony studios Zen VR experience using EEG data to live customise the experience based on the user

Emotion Recognition

Analysing expressions and body language can infer a users’ emotional states, allowing for more responsive interactions and applies very well to mental health use cases.

AI-powered AR/VR/MR solutions can truly wow audiences and deliver tangible business results. If you are looking to create an XR experience, contact us today to find out how we can help.

Got a great idea?

Experience the transformative power of AI-enhanced XR solutions today. Whether you’re envisioning an immersive educational experience, a cutting-edge training simulation, or a captivating interactive marketing campaign, our team is ready to bring your ideas to life. Let’s collaborate on your next project and create something truly extraordinary together. Reach out to us to explore the possibilities!


What is XR and how does AI enhance it?
XR stands for Extended Reality, encompassing augmented, virtual, and mixed reality. AI enhances XR by delivering personalised, intelligent, and interactive solutions that cater to individual users, streamline operations, and provide a competitive edge.

What are some examples of AI applications in XR?
AI applications in XR include personalisation through analysing user behaviour, object recognition and tracking for seamless interaction with the physical environment, adaptive learning environments in education and training, natural language processing for intuitive interactions, and health monitoring using biometric data.

How does AI contribute to personalised XR experiences?
AI analyses user behaviour and interaction patterns to curate content that resonates with each individual user, such as suggesting relevant educational modules or tailoring gaming experiences based on preferred play styles.

What benefits does AI bring to XR education and training solutions?
AI enables the creation of adaptive learning environments that cater to individual learning styles and abilities, adjusting difficulty, pacing, and reinforcement of training to optimise learning outcomes.

How can AI-enhanced XR solutions be beneficial for businesses?
AI-powered XR solutions can wow audiences, drive tangible business results, and stay ahead of the competition by delivering immersive experiences that engage users, streamline operations, and provide real-time feedback based on user interactions and biometric data.

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