Perceptual oddities: assessing the relationship between film editing and prediction processes

Area of Science:

• Cognitive Neuroscience
• Computational Psychiatry
• Film Studies

Background:

• Film editing shapes viewer perception, guiding emotional and narrative comprehension.
• Existing models lack a framework to explain the perceptual dynamics of film editing.
• Predictive processing (PP) offers a potential model for understanding how the brain anticipates and responds to sensory input.

Purpose of the Study:

• To propose and test a predictive processing (PP) framework for understanding the perceptual dynamics of film editing.
• To investigate how visual discontinuities at edit points generate prediction errors.
• To examine the relationship between narrative predictability and the magnitude of prediction error.

Main Methods:

• Two empirical studies were conducted using electroencephalography (EEG) during passive film viewing.
• A behavioral edit detection task was employed to measure active responses.
• Neural and behavioral modulations were analyzed across varying levels of narrative depth.

Main Results:

• Visual discontinuities at edit points induced prediction errors, aligning with PP hypotheses.
• The magnitude of prediction error correlated with the predictability of shots within the narrative flow.
• Greater neural and behavioral modulations were observed at edit boundaries spanning less predictable, deeper narrative transitions.

Conclusions:

• The study provides evidence supporting a predictive processing (PP) account of film editing.
• Predictive processing offers a valuable framework for analyzing the cognitive and emotional impact of cinematic techniques.
• This research lays the foundation for future investigations into the intersection of art, aesthetics, and predictive processing.