A web-based eye-tracking system is being built to measure how audiences watch film and TV, using the synchronisation of their eye movements to predict whether a video will succeed. This matters because the independent film sector is under severe financial pressure—private investment has dropped 30% year-on-year since 2019. Traditional audience testing relies on small, local groups and subjective surveys, which are expensive and often unreliable. North AI aims to replace that with a platform that combines neuroscience-backed eye-tracking with AI analysis, drawing on larger, globally diverse audiences to make predictions up to 40% more reliable. If successful, the platform could give independent filmmakers and investors a data-driven tool to forecast audience reception and tailor marketing and distribution strategies. That might help reduce financial risk, attract new investment, and improve the chances that smaller films reach the right viewers. The same approach could eventually be applied to other media, from advertising to streaming content, where understanding attention is key.
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With continued Innovate UK support, North AI aims to develop a Neuroscience bacled, web-based eye- tracking system that effectively measures the synchronisation of eye movements while watching video content in real-time, and explores the correlation between web-based eye-tracking and attention analysis in predicting the future success of video content. Ultimately, North AI aims to **democratise** live audience testing for the independent film sector, and furthermore make the data up to 40% more reliable through increased audience participation numbers, accessing global demographics and focusing on Neuroscience supported analysis as opposed to traditional surveys. North AI will add new innovation to the audience testing of audio-visual content to complement the existing AI based digital intelligence platform, currently being developed with current Innovate UK funding. The combined approach of qualitative and quantitative data will provide improved insights to forecast the potential success and audience reception of independent film. The same data will also be used to better personalise marketing and audience engagement strategies, increasing the films reach and the optimisation of distribution channels. This will represent the first time that advanced neuroscience techniques will be combined with with AI/ML based predictive insights to improve independent film investment -- development proposed at a time where the sustainability of the entire independent film industry is under significant and critical threat with a 30% year-on-year reduction in new private investment since 2019\.
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