
Jeremy Dalton
Founder, XRHQ; Advisor, FOV Ventures
Jeremy Dalton leads XRHQ.com, an AI-powered intelligence platform that helps businesses stay current and competitive on the next generation of computing applications. The platform combines AI agents and automation systems that scan the internet 24/7, surfacing real-world applications of spatial computing and convergent technologies as they go live across every industry worldwide.
Previously, Jeremy established and led PwC's global immersive technologies practice, delivering more than 150 transformation projects across 50 countries that integrate AI, XR, drones, and other emerging tech. He has continued this work independently, delivering AI implementation programs and workshops to enterprise teams across every business function.
He advises venture capital firm FOV Ventures, helping identify and support companies building at the convergence of AI, robotics, and spatial computing. He has also served as an industrial supervisor for PhD-level research at the University of Bath, co-authoring papers accepted at the CHI Conference on Human Factors in Computing Systems.
Jeremy is an international speaker and published author of business technology books translated into Chinese, German, and Korean, and widely used in university and corporate training programs. His research, reports, and insights have been cited by leading institutions including the World Economic Forum, Citigroup, and The Economist.
Qualification
BSc in Mathematics; Fellow Chartered Accountant (FCA)
Research Interests
Emerging Technologies, Innovation, Spatial Computing, AI, XR, Immersive Technologies
Publications
Books
- Dalton, J. (2025). Reality Check: How VR and AR Can Supercharge Your Business (2nd ed.). Kogan Page. ISBN 9781398618749.
- Dalton, J. (2023). 확장현실: XR은 어떻게 디지털 전환의 미래가 되는가 [Extended Reality: How XR Becomes the Future of Digital Transformation; Korean translation of Reality Check: How Immersive Technologies Can Transform Your Business]. UX Review. ISBN 9791193217054.
- Dalton, J., & Acker, O. (2023). Immersive Unternehmenswelten: Wie Virtual, Augmented und Mixed Reality die Wirtschaft verändern können [German adaptation/translation of Reality Check: How Immersive Technologies Can Transform Your Business]. Schäffer-Poeschel Verlag. ISBN 978-3-7910-5686-9.
- Dalton, J. (2023). 沉浸式技术:引领未来商业世界 [Immersive Technologies: Leading the Future Business World; Chinese translation of Reality Check: How Immersive Technologies Can Transform Your Business]. Atomic Energy Press. ISBN 9787522129402.
- Jung, T., & Dalton, J. (Eds.). (2022). XR Case Studies: Using Augmented Reality and Virtual Reality Technology in Business. Springer. ISBN 978-3-030-72783-3.
- Dalton, J. (2021). Reality Check: How Immersive Technologies Can Transform Your Business. Kogan Page. ISBN 9781789666335.
Peer-reviewed publications
- Potts, D., Jicol, C., Clarke, C., O’Neill, E., Fitton, I., Dark, E., Oliveira da Silva, M. M., Broad, Z., Sehgal, T., Hartley, J., Dalton, J., Proulx, M. J., & Lutteroth, C. (2024). REVEAL: REal and Virtual Environments Augmentation Lab @ Bath. CHI ’24 Extended Abstracts, ACM, 5 pages. DOI: 10.1145/3613905.3648658.
- Fitton, I. S., Dark, E., Oliveira da Silva, M. M., Dalton, J., Proulx, M. J., Clarke, C., & Lutteroth, C. (2024). Watch This! Observational Learning in VR Promotes Better Far Transfer than Active Learning for a Fine Psychomotor Task. CHI ’24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems, ACM, Article 721, 19 pages. DOI: 10.1145/3613904.3642550.
- Fitton, I., Clarke, C., Dalton, J., Proulx, M. J., & Lutteroth, C. (2023). Dancing with the Avatars: Minimal Avatar Customisation Enhances Learning in a Psychomotor Task. CHI ’23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, ACM, Article 722, 14 pages. DOI: 10.1145/3544548.3580944
- Fitton, I. S., Dalton, J., Proulx, M. J., & Lutteroth, C. (2022). Dancing with the Avatars: Feedforward Learning from Self-Avatars. CHI ’22 Extended Abstracts, ACM, Article 458, 8 pages. DOI: 10.1145/3491101.3519732