In 360° video, storytelling faces a fundamental challenge: unlike traditional cinema, viewers can freely choose where to look. This freedom often leads to missed plot points and reduced narrative clarity. To maintain coherence and guide attention, filmmakers rely on audiovisual cues like movement, sound, or lighting — but these do not always work as intended.
Research has shown that even well-crafted directional cues may fail, causing the viewers attention to drift away from the intended narrative focus (Knorr et al., 2018). Testing this with real users is costly and impractical for everyday production. That is why saliency models — AI systems predicting where people are likely to look — offer a promising solution.
By comparing predicted gaze paths with a director-defined “Director’s Cut,” filmmakers can evaluate whether attention follows the story or diverges from it. This comparison reveals where guidance is effective — and where the narrative needs reinforcement.
This is where our app comes in.