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Eye-tracking technology is evolving rapidly, unlocking new possibilities across industries like automotive, aviation, and behavioral research. But what does it take to implement it successfully? In this episode of the Human-Centric AI Podcast, we sit down with Sebastian Johansson, Regional Sales Manager for APAC at Smart Eye, to explore the real-world challenges customers face when integrating eye tracking into their research and development processes—and how Smart Eye’s cutting-edge solutions help overcome them.
Sebastian shares insights from over a decade of working closely with partners and customers across Asia, shedding light on key misconceptions, technical considerations, and the ROI impact of eye tracking. From understanding how lighting conditions affect performance to the role of multi-camera setups and Smart Eye’s pioneering 3D world model, this episode offers a comprehensive look at how eye tracking is shaping the future of human-machine interaction.
➤ What first-time users often get wrong about eye tracking—and what they should know instead.
➤ How Smart Eye’s approach to tracking accuracy, calibration, and setup simplifies the user experience.
➤ The unique advantages of Smart Eye’s technology in different environments, from simulators to real-world applications.
➤ What’s on the horizon for eye tracking and how Smart Eye is driving industry innovation.
Listen now and gain expert insights into the power and potential of eye-tracking technology.
