Immersive Technologies
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Increasing AI-enhanced user experience

AI is enhancing the user experience in real-time by augmenting realism, context-aware interactivity, and personalisation. Predictive models, sensory input (eye tracking, voice recognition), and continuous data analysis enable XR systems to interpret human gaze, gestures, emotions, and spatial mapping in real time. Simultaneously, this adapts the immersive experience to the user without prompting.

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Virtual assistants enhance engagement, while other AI-based engines optimise graphics performance and provide dynamic content and visual fidelity. Emerging technologies like brain-computer interfaces (BCIs) and neurotechnology could minimise physical efforts when using XR. This AI/XR convergence will lead to AI-enhanced XR that anticipates user needs and behaviours.

Maturity

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Changing dynamics in Responsible AI From large to small language models AR and smart glasses become more prominent Increasing AI-enhanced user experience Growing big tech competition for the XR stack Increased application of FAIR principles to enable digital ecosystems in Europe Growing relevance of TRUST principles for data repositories to secure data More decentralisation of data ownership enabled by SSI solutions Emergence of organisational wallets Push for transparent supply chains with digital product passports Bringing computing resources closer to the ‘edge’ Growing need for automated cloud and edge resource management Growing emphasis on neuromorphic (brain-inspired) computing Integrating photonics for accelerated information processing The battle for airwaves AI/Ops, digital twinning and the emergence of the LLM in network operations Power usage and ecological footprint From ad hoc experiments to applications Towards Fault-Tolerant Quantum Computing (FTQC) Cyber-physical technology calls for resilient minds A growing urge for chip sovereignty in Europe

Drivers

Impact

education

Education

  • Conversational AI-based tutors could reduce instructor workload and reach larger student cohorts.
  • AI-driven interactivity (including, for example, gamification) may enhance long-term student engagement, especially amongst younger learners.
  • Conversational agents and personalised feedback systems support student study when human instructors are not available 24/7.
Research

Research

  • Context-aware virtual assistants accelerate scientific literature reviews and experiment configuration.
  • Researchers can benefit from intelligent systems with AI-XR functionalities that adapt experimental pathways, offer real-time suggestions, and track engagement metrics for cognitive and emotional responses.
Operations

Operations

  • AI chatbots are already being used to answer routine queries from employees / professionals (for example IT or human resources queries), freeing staff time for more complex cases. This could evolve into 3D assistants in virtual or augmented workspaces.
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