Varga, Peter, Ressin, Malte ORCID: https://orcid.org/0000-0002-8411-6793, Wall, Julie ORCID: https://orcid.org/0000-0001-6714-4867, Clarke, Jason and Uzor, Stephen (2026) Designing a human-centric immersive AI classroom for adaptive personalised learning. In: Human Work Interaction Design 2026 (HWID 2026), 17-18 June 2026, London, UK. (Submitted)

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Abstract

This position paper presents an adaptive XR work environment as a human–AI collaborative system for cognitive task execution within emerging human-centred socio-technical paradigms (e.g., Education 5.0 and Industry 5.0). The platform integrates AI-driven adaptive dialogue and personalised task structuring, supported by real-time neurofeedback, to enable dynamic task performance in immersive settings. The system also explores the integration of portable XR devices, brain–computer interface (BCI) concepts, and multimodal AI systems as a forward-looking form-factor for next-generation “smart glasses” technologies, aiming to investigate how such systems may reshape future education and industrial work environments. Rather than assuming adaptive support is inherently beneficial, the system is framed as a socio-technical intervention that may enhance performance while also reshaping autonomy, coordination, transparency, and user well-being within human–AI work systems. From a Human Work Interaction Design (HWID) perspective, cognitive work is distributed between humans and AI, with XR acting as an embodied interaction layer. Adaptation is examined not only as a workload-reduction mechanism, but also as a force that redistributes control and reorganises work relations, influencing trust and human agency. Educational settings are used as a controlled testbed for observing work-like behaviour in structured cognitive tasks, enabling ecologically valid capture of multimodal data (e.g., interaction behaviour, task performance, and neurofeedback signals) to analyse human–system workload and adaptive interaction dynamics under authentic learning conditions.

Item Type:	Conference or Workshop Item (Paper)
Keywords:	Adaptive XR Systems, Human–AI Collaboration, Industry 5.0, Human Work Interaction Design, Socio-Technical Systems, Cognitive Work, Work Augmentation, Immersive Learning, Immersive AI, AI Tutors, Neurofeedback, Human–Computer Interaction
Subjects:	Computing > Intelligent systems Education > Teaching and learning > Technology-enhanced learning
Related URLs:	Organisation
Date Deposited:	18 Aug 2026
Dates:	Date Publication status 1 April 2026 Accepted 18 June 2026 Presented
School, department or research centre:	School of Computing and Engineering
Keywords:	Adaptive XR Systems, Human–AI Collaboration, Industry 5.0, Human Work Interaction Design, Socio-Technical Systems, Cognitive Work, Work Augmentation, Immersive Learning, Immersive AI, AI Tutors, Neurofeedback, Human–Computer Interaction
URI:	https://repository.uwl.ac.uk/id/eprint/15243
Sustainable Development Goals:	Goal 4: Quality Education	Sustainable Development Goals:	Goal 9: Industry, Innovation, and Infrastructure

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