General
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Include at least the following fields: title
author
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Data
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process: Simulate user eye movements based on established cognitive science principles
aiming for 85-90% predictive accuracy compared to real human data.
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General
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directive: Identify human faces or eyes. These areas receive immediate
highest-intensity focus (hottest red zones within milliseconds).
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General
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directive: Identify elements with high contrast or unique visual weight (e.g.
primary CTAs like a 'Create' button). These must be marked as high-priority fixation points.
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General
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Ensure author names follow BibTeX standards (Last name
First name)
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General
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Additionally
include doi
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Data
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technical_metadata_hypothesis: Arri Alexa
35mm Grain
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General
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color_palette_hex: [#RRGGBB
#RRGGBB]
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General
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reference_authority: [Nielsen Norman Group (NN/g)
Cognitive Load Theory
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General
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Predictive Eye Tracking Heatmap Generator
{
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General
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negative_prompt: text
watermark
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General
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* **Spatial Audio:** 3D sound map
reverb tail
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General
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ocr_text_detected: [List
Any
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Creative
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* **Musical Atmosphere:** Suggested genre
tempo
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General
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detected_objects: [Object 1
Object 2]
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General
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* **Rhythm & Tempo:** Pacing (Largo
Allegro
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General
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* **Foley Requirements:** Specific material interactions (footsteps on gravel
fabric rustle).
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General
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* **Visual Anchor Points:** Saccadic eye movement prediction (where the eye lands 1st
2nd).
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General
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* **Ambient Sounds:** Room tone
atmospheric layers (wind
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General
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* **Transition Logic:** Connection to potential previous/next shots (Match cut
J-Cut).
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General
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* **Atmospherics:** Fog
smoke
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General
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* **Costume & Styling:** Fabric textures (leather
silk)
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Creative
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* **Lighting Design:** Key
Fill
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General
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* **Framing & Lensing:** Focal length (24mm
50mm
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