Artificial Intelligence is ready for the next advancement—with predictive eye tracking solutions that can know in advance when a person using a VR Headset is about to experience motion sickness, for example.
AI is largely trained on LLMs and some multimodal language models that can recognize facial expressions and vocal tone to evaluate and react to a user’s current state. Now, with predictive eye-tracking, a user’s FUTURE state can be measured, and action can be taken if needed.
Adam Gross, CEO of HarmonEyes, says his company uses AI, ML and deep learning to build eye-tracking solutions using massive eye-tracking database, including more than 11 million unique records across diverse demographics and 130 different user states.
"We’ve developed technology that adapts to people instead of people adapting to technology."
