User Prompt

Simulate EEG-style attention and emotional response for this visual, then return eye-tracking saliency, trigger analysis, and optimization actions.

Prompt applied to this simulation

Simulacrum-Focus

Simulacrum-Creative Evaluator

Predictive neural analytics to decode how the human brain processes your visual stimuli. Upload a visual asset to simulate EEG-based emotional valence and visual saliency.

Cognitive Response Simulator
Header & Creative Input
Robot Cleaner Creative

Input Parameters

NEURAL COHORT

Modern Homeowners / Tech Enthusiasts

ATTENTION KPI

Product Hero Saliency

EMOTIONAL TONE

Minimalist Luxury / Calm

VIEWING CONTEXT

Mobile Social Feed (Instagram/FB)

The Brain Metrics

EEG-inspired cognitive KPI row

Attention Retention

2.6s

Ability to hold the viewer's focus for more than 2 seconds.

Emotional Valence

+0.42

Range from Positive/Excitement to Negative/Fear.

-1 Fear+1 Excitement

Cognitive Friction

31

Difficulty in processing the information presented. Lower is better.

Lower is better

Visual Recall Prob.

84%

Probability of remembering the brand/message after the first scan.

Neural Activation Map

Cortical response to visual stimulus

Loading 3D viewer...

fMRI-based commentary

Strong bilateral activation across the primary visual cortex (V1) and ventral stream (V4, fusiform) indicates efficient low-level feature extraction and shape binding within the first 300 ms of exposure.

Secondary clusters in the parietal attention network and frontal eye fields confirm sustained foveal locking on the CTA anchor, consistent with the predicted 2.6 s attention retention window.

Key cortical hotspots

Occipital pole (V1 / V2)

Peak excitation during contrast and edge detection.

Superior parietal lobule

Top-down attention allocation to high-salience regions.

Anterior insula / ACC

Emotional salience tagging - valence trending positive (+0.42).

Neural Saliency & Eye-Tracking

Predictive Eye-Tracking & Foveal Focus

Neural Saliency EEG Map
L3 | PERIPHERALL2 | SEMANTIC CONTEXT22% SHARE68%PRIMARY FOCAL POINTL1 Dominant Saliency
L1

DOMINANT SALIENCY

68%

Subject: Smart Vacuum Robot

Represents the 'First Fixation.' This is the element that breaks the visual threshold within the first 150-200ms. It commands the highest neural metabolic cost and is the anchor for brand recall.

L2

SEMANTIC CONTEXT

22%

Environment: Minimalist Living Room

Represents the 'Secondary Scanpath.' Once the primary subject is identified, the brain maps the surrounding geometry to establish a semantic story. High processing fluency reduces cognitive friction.

L3

PERIPHERAL BACKGROUND

10%

Decor: Indoor Plant & Furniture

Represents elements processed by peripheral vision. These low-interest zones provide atmosphere but should not distract from the primary CTA.

The Simulacrum Gauge System

NEURAL BIO-SIGNAL CONSOLE

82%
DΔ(Reward)

Dopamine Level

Measures the 'wanting' system. Triggered by high-contrast product shots, luxury textures, or 'Dopamine-bright' colors.

65%
Osyn(Trust)

Oxytocin Sync

Measures the sense of safety and 'liking.' Triggered by organic shapes, warm lighting, and minimalist layouts.

12%
Cstr(Stress)

Cortisol Tension

Measures visual anxiety. Low levels indicate a cluttered UI or 'aggressive' sales tactics. (12% = Optimal)

Neural Flow & Audience Response

Cognitive Flow & Neural Parsing

The Cognitive Flow Waveform (Neural Parsing)

Live Buffer
COGNITIVE PROCESSING FLUENCY (CPF)98.4 MHz
Φparsing=0tSaliencyVisual Complexitydt

Fast Neural Parsing: 420ms

The brain decodes the spatial hierarchy effortlessly. Saliency alignment reduces neural metabolic cost, facilitating "instant" semantic comprehension.

TELEMETRY_SYNC_v4.2

NEURAL TELEMETRY LOG

STATUS:Synchronized
VALENCE:Positive (0.78)
AROUSAL:Moderate (0.42)

PREDICTION ENGINE

High Conversion Probability

94%
PARSING DATA...DONE

Multi-agent response simulation

10 agents respond to the initial prompt

Each agent simulates a distinct evaluation role for the same starting prompt, so you can compare aligned and conflicting viewpoints before deciding.

Consensus check

Saliency commander

Axial

Prioritizes first-fixation capture and attention lock.

View deep analysis

Simulated response

"Primary saliency is strong and should capture fixation in under 250ms. Keep the hero object isolated from competing high-contrast edges."

Confidence90%
Positive

Friction scanner

Synap

Detects cognitive overload and ambiguity risks.

View deep analysis

Simulated response

"Peripheral zones introduce minor attentional competition. Simplify one background cluster to reduce cognitive friction."

Confidence55%
Critical

Arousal tracker

Cortex

Monitors predicted arousal stability over exposure time.

View deep analysis

Simulated response

"Arousal should remain moderate-positive through the first scan. A clearer CTA anchor can convert attention into action."

Confidence73%
Mixed

Hierarchy mapper

Voxel

Maps visual hierarchy against neural processing order.

View deep analysis

Simulated response

"Hierarchy is mostly coherent from object to context to CTA. Increase text-background separation to avoid delayed parsing."

Confidence79%
Positive

Valence modeler

Lambda

Predicts emotional polarity and confidence drift.

View deep analysis

Simulated response

"Valence trends positive, but confidence softens in longer views. Add an explicit trust cue in-frame to stabilize intent."

Confidence67%
Mixed

Recall engineer

Nerve

Optimizes recall probability after brief exposure.

View deep analysis

Simulated response

"Object shape and contrast support high recall potential. Repeating one distinct visual motif will improve delayed memory retrieval."

Confidence88%
Positive

Saccade auditor

Kappa

Tracks saccade sequence and peripheral distractions.

View deep analysis

Simulated response

"Saccade path is efficient but not equally stable across audience segments. Tone down one bright secondary element to reduce drift."

Confidence62%
Mixed

Study comparator

Theta

Benchmarks predicted neural response against reference studies.

View deep analysis

Simulated response

"Compared with similar high-performing stimuli, saliency is above baseline. Improvement headroom remains in CTA dwell-time optimization."

Confidence76%
Positive

Load forecaster

Delta

Forecasts cognitive effort under repeated exposure.

View deep analysis

Simulated response

"Processing load is acceptable at first exposure but rises with repetition. Reduce visual density near text for better resilience."

Confidence49%
Critical

Neural decision synth

Sigma

Combines neural indicators into go/no-go recommendation.

View deep analysis

Simulated response

"The stimulus is deployable for awareness testing now. Run one quick variant with reduced background complexity for higher confidence."

Confidence83%
Mixed

Simulacrum-Optimization Recommendations

AI Simulacrum-Design Optimization

Contrast

Increase contrast in the top-right quadrant to guide the gaze toward the gaze toward the logo.

Color Saturation

Reduce saturation of the background to lower cognitive fatigue.

Typography

Use a Sans-serif font for the sub-headline to speed up neural processing by 20%.

Final Verdict

Status

SIMULACRUM-OPTIMIZED

READY FOR DEPLOYMENT

Visual hierarchy is perceptually legible and attention flow is mostly efficient. Fine-tuning contrast and CTA salience will further improve conversion memory.

Deployment Signal: Green