Slawomir Tadeja

Paper presented at the 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Christine Saeedi-Givi represented the Cyber-Human Lab at this year’s 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), held in Vienna, Austria. Christine presented our paper on how AR technology can be utilised to support upper limbs exoskeleton fitting. She has previously interned with CHL and later worked on collecting data for her BA […]

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Dr Thomas Bohné and Colleagues received Highly Commended Paper Award at the Frontiers 2025 conference!

The team of co-authors that included Jan H. Blümel, Mohamed Zaki, and head of CHL, Dr Thomas Bohné received the Highly Commended Paper Award at the Frontiers 2025 Conference for the paper “Personal Touch in Digital Customer Service: A Conceptual Framework of Relational Personalization for Conversational AI,” published in the Journal of Service Theory and Practice.

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Jan Helmich becomes Cambridge University’s Sports Person of the Year 2025

CHL member and PhD in Engineering student Jan Helmich, working on his thesis project under the supervision Dr Thomas Bohné has been named Cambridge University’s Sports Person of the Year. Huge congratulations to Jan! Please find more details on Trinity Hall’s website: Jan Helmich wins Cambridge University’s Sports Person of the Year

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A new journal paper alert: vison-based pose estimation methods for industrial AR

Together with collaborators from Poznan University of  Technology and University of St Andrews, we published [open access] in Computers in Industry journal a new paper: Kamil Żywanowski, Mikołaj Łysakowski, Michał R. Nowicki, Jason T. Jacques, Sławomir K. Tadeja, Thomas Bohné, Piotr Skrzypczyński, Vision-based hand pose estimation methods for Augmented Reality in industry: Crowdsourced evaluation on

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CHL members placing high at the Oxbridge AI Challenge

On Friday, 6th November 2024, two members of the CHL, i.e.,  Tim J. Schoonbeek and Michael-J. Vogeser, reached the finals of the Oxbridge AI Challenge, placing in the top 10 out of over 220 participating teams. Their innovative project, omnAI, exemplifies the lab’s mission to bridge human and machine intelligence. OmnAI acts as a “second

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