At Cineon, we believe the future of performance assessment lies in understanding behaviour at a deeper level.
The Cineon Seminar Series provides an exclusive behind-the-scenes look at how advanced human performance research is translated into practical capability using immersive technologies, behavioural AI and eye-tracking.
This seminar explores how the Cineon Empathic Learning Engine (ELE) is enabling organisations to measure attention, cognition and performance in ways traditional systems cannot.
Please note: the session hosted on 21st July will be focused on military applications.
Traditional performance assessments often focus on outcomes. Behavioural AI goes deeper.
By analysing how people think, focus and respond in real time, organisations can uncover insights that improve:
Training effectiveness
Human performance
Decision-making under pressure
Risk management
Learning retention
Operational readiness
This seminar shows how eye-tracking data is making this possible.
This seminar is ideal for:



Tslil has been instrumental in developing testing protocols and overseeing product research, including the Gold Data 2 project with over 100 participants. Drawing on her PhD in Psychology and extensive experience in eye-tracking, neuromodulation, and behavioural research, she translates complex scientific insights into practical insights that advance ELE and Cineon’s immersive XR training solutions.



A leader in XR and human performance focused on developing human-centred digital mental health solutions and adaptive XR training tools. She leads strategy and innovation at Cineon, translating applied research and AI-enabled immersive technologies into practical, real-world solutions across a range of sectors.



An experienced Software Engineer and Technical Product Manager, Alexander leads the development of Cineon’s Empathic Learning Engine. Drawing on expertise in Python, machine learning, and VR technologies, he guides the team to deliver data-driven, human-centred XR solutions that advance emotion AI and immersive learning applications.