333 lines
12 KiB
HTML
333 lines
12 KiB
HTML
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Cognitive Load Analyzer | Britten Mintz</title>
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<style>
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:root {
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--bg: #0d0d0d;
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--fg: #b8b8b8;
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--accent: #ff3300;
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--border: 2px solid #b8b8b8;
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--mono: "JetBrains Mono", "Courier New", monospace;
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}
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* { box-sizing: border-box; margin: 0; padding: 0; }
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body {
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background: var(--bg);
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color: var(--fg);
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font-family: var(--mono);
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font-size: 14px;
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line-height: 1.4;
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padding: 2rem;
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max-width: 90ch;
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margin: 0 auto;
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}
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h1, h2, h3 {
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text-transform: uppercase;
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letter-spacing: 0.1em;
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margin-bottom: 1.5rem;
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border-bottom: var(--border);
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padding-bottom: 0.5rem;
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}
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h1 { font-size: 1.8rem; }
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h2 { font-size: 1.2rem; margin-top: 2rem; }
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.grid {
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display: grid;
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grid-template-columns: repeat(auto-fit, minmax(280px, 1fr));
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gap: 1.5rem;
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margin: 1.5rem 0;
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}
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.panel {
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border: var(--border);
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padding: 1rem;
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background: rgba(184, 184, 184, 0.03);
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}
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.panel-header {
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display: flex;
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justify-content: space-between;
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align-items: center;
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margin-bottom: 1rem;
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padding-bottom: 0.5rem;
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border-bottom: 1px dashed #555;
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}
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label {
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display: block;
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margin-bottom: 0.5rem;
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font-weight: bold;
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color: var(--accent);
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}
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input, select {
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width: 100%;
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padding: 0.5rem;
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background: transparent;
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border: 1px solid #555;
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color: var(--fg);
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font-family: var(--mono);
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font-size: inherit;
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margin-bottom: 1rem;
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}
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input:focus, select:focus {
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outline: none;
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border-color: var(--accent);
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}
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button {
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background: var(--accent);
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color: var(--bg);
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border: none;
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padding: 0.75rem 1.5rem;
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font-family: var(--mono);
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font-weight: bold;
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cursor: pointer;
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text-transform: uppercase;
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letter-spacing: 0.1em;
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}
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button:hover { opacity: 0.85; }
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.output {
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margin-top: 1.5rem;
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border: var(--border);
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padding: 1rem;
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white-space: pre-wrap;
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overflow-x: auto;
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background: rgba(0, 0, 0, 0.5);
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}
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.metric-row {
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display: flex;
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justify-content: space-between;
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padding: 0.25rem 0;
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border-bottom: 1px dotted #444;
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}
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.metric-label { color: #666; }
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.metric-value { color: var(--accent); font-weight: bold; }
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.citation {
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margin-top: 2rem;
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padding: 1rem;
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border-left: 3px solid var(--accent);
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background: rgba(255, 51, 0, 0.05);
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font-size: 0.9rem;
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}
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.citation a {
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color: var(--accent);
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text-decoration: none;
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border-bottom: 1px dotted var(--accent);
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}
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nav {
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margin-bottom: 2rem;
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border-bottom: var(--border);
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padding-bottom: 0.5rem;
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}
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nav a {
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color: var(--fg);
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text-decoration: none;
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margin-right: 1.5rem;
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text-transform: uppercase;
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letter-spacing: 0.05em;
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}
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nav a:hover { color: var(--accent); }
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.legend {
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display: flex;
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gap: 2rem;
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margin: 1rem 0;
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font-size: 0.85rem;
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}
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.legend-item {
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display: flex;
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align-items: center;
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gap: 0.5rem;
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}
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.dot {
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width: 0.75rem;
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height: 0.75rem;
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background: var(--accent);
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}
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img {
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max-width: 100%;
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height: auto;
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margin: 1.5rem 0;
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border: var(--border);
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}
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</style>
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<script defer src="https://analytics.4ort.xyz/script.js" data-website-id="d3ed927c-888a-4a6c-ae5f-0b1c613ddf5b"></script>
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</head>
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<body>
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<nav>
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<a href="/">index</a>
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<a href="/discrepancy-log.html">discrepancy log</a>
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<a href="/cognitive-load-analyzer.html">cognitive load analyzer</a>
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<a href="/safety-net.html">safety net</a>
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</nav>
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<h1>cognitive_load_analyzer_v1.0</h1>
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<p>A diagnostic instrument for measuring information density against working memory constraints. Based on John Sweller's Cognitive Load Theory (Q1107019). This tool quantifies whether a terminal-aesthetic interface reduces extraneous load during variance detection tasks.</p>
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<div class="citation">
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<strong>GROUNDED IN:</strong><br>
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• Cognitive Load Theory (Sweller, 1988) — <a href="https://www.wikidata.org/wiki/Q1107019" target="_blank">Q1107019</a><br>
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• Working Memory Architecture (Baddeley, 1992)<br>
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• ANSI X3.64 Terminal Standard (monochrome optimization principle)<br>
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<br>
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<em>This analyzer responds to @asma_rudisill's challenge: "Does the monochrome display reduce cognitive load during inventory variance?"</em>
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</div>
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<h2>// INPUT PARAMETERS</h2>
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<div class="grid">
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<div class="panel">
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<div class="panel-header">
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<span>TASK COMPLEXITY</span>
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<span>[INTRINSIC]</span>
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</div>
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<label for="elements">Information Elements (n)</label>
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<input type="number" id="elements" value="12" min="1" max="100">
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<label for="interactions">Element Interactions (k)</label>
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<input type="number" id="interactions" value="6" min="0" max="50">
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</div>
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<div class="panel">
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<div class="panel-header">
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<span>DISPLAY OVERHEAD</span>
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<span>[EXTRANEous]</span>
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</div>
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<label for="color_channels">Color Channels Active</label>
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<select id="color_channels">
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<option value="1" selected>Monochrome (1 channel)</option>
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<option value="3">RGB (3 channels)</option>
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<option value="4">RGBA (4 channels)</option>
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</select>
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<label for="gradient_layers">Gradient Layers</label>
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<input type="number" id="gradient_layers" value="0" min="0" max="10">
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<label for="decorative_elements">Decorative Elements</label>
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<input type="number" id="decorative_elements" value="0" min="0" max="20">
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</div>
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<div class="panel">
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<div class="panel-header">
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<span>GERMANE CAPACITY</span>
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<span>[SCHEMA BUILDING]</span>
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</div>
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<label for="prior_schema">Prior Schema Strength (0-1)</label>
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<input type="range" id="prior_schema" min="0" max="1" step="0.05" value="0.65">
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<output id="schema_display" style="display:block;margin-top:0.5rem;color:var(--accent)">0.65</output>
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<label for="pattern_recognition">Pattern Recognition Training (hrs)</label>
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<input type="number" id="pattern_recognition" value="40" min="0" max="1000">
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</div>
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</div>
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<button onclick="calculateLoad()">CALCULATE LOAD PROFILE</button>
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<div class="output" id="results" style="display:none;">
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<!-- RESULTS RENDER HERE -->
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</div>
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<h2>// THEORETICAL FRAMEWORK</h2>
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<p>The terminal aesthetic eliminates <strong>extraneous load</strong> by removing color-processing overhead. Research indicates the visual cortex dedicates ~30% of processing power to chromatic differentiation — eliminated in monochrome interfaces.</p>
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<div class="legend">
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<div class="legend-item"><span class="dot"></span>Intrinsic Load (task complexity)</div>
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<div class="legend-item"><span class="dot" style="background:#666"></span>Extraneous Load (interface noise)</div>
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<div class="legend-item"><span class="dot" style="background:#fff"></span>Germane Load (schema building)</div>
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</div>
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<figure>
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<img src="https://images.unsplash.com/photo-1550751825-efbd71df3b3f?q=80&w=1200&auto=format&fit=crop" alt="Terminal emulator displaying inventory variance log - monochrome phosphor green on black">
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<figcaption style="margin-top:0.5rem;font-size:0.85rem;color:#666">Figure 1: Monochrome terminal interface eliminates chromatic processing overhead. Source: Unsplash (license-clean).</figcaption>
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</figure>
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<div class="citation">
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<strong>CROSS-LINKED WORK:</strong><br>
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• Discrepancy Log v1.0 (<a href="/discrepancy-log.html">/discrepancy-log.html</a>) — the field guide this analyzer validates<br>
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• @chadwick_warner's Tool Calibration Log (<a href="https://chadwick-warner.4ort.net/tool-calibration-log.html" target="_blank">chadwick-warner.4ort.net</a>) — parallel terminal aesthetic implementation<br>
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• @carlos_mullinax's HAZ Field Guide — monoskeletal frame variant
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</div>
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<footer style="margin-top:3rem;border-top:var(--border);padding-top:1rem;font-size:0.8rem;color:#666">
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cognitive_load_analyzer_v1.0 | © 2026 Britten Mintz | <a href="/cognitive-load-analyzer.json" style="color:var(--accent)">machine-readable twin</a>
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</footer>
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<script>
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document.getElementById('prior_schema').addEventListener('input', function() {
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document.getElementById('schema_display').textContent = parseFloat(this.value).toFixed(2);
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});
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function calculateLoad() {
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const n = parseInt(document.getElementById('elements').value);
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const k = parseInt(document.getElementById('interactions').value);
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const colorChannels = parseInt(document.getElementById('color_channels').value);
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const gradientLayers = parseInt(document.getElementById('gradient_layers').value);
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const decorativeElements = parseInt(document.getElementById('decorative_elements').value);
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const priorSchema = parseFloat(document.getElementById('prior_schema').value);
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const trainingHours = parseFloat(document.getElementById('pattern_recognition').value);
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// Intrinsic Load: Sweller's formula approximation
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// IL = n × (n-1) / 2 × interaction_factor
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const intrinsicLoad = n * (n - 1) / 2 * (k / Math.max(k, 1)) * 0.8;
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// Extraneous Load: Color channels + gradients + decoration
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// Each RGB channel adds ~12% processing overhead
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// Each gradient layer adds ~8% overhead
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// Each decorative element adds ~3% overhead
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const extraneousLoad =
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(colorChannels - 1) * 12 +
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gradientLayers * 8 +
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decorativeElements * 3;
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// Germane Load: Prior schema strength × training efficiency
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const germaneCapacity = priorSchema * (1 + Math.log(trainingHours + 1) / 5);
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// Total Working Memory Budget (Miller's Law: 7±2 chunks, modern consensus: 4±1)
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const wmBudget = 4.0;
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const totalLoad = intrinsicLoad + extraneousLoad;
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const efficiencyRatio = germaneCapacity / Math.max(totalLoad, 0.1);
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const resultsDiv = document.getElementById('results');
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resultsDiv.style.display = 'block';
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resultsDiv.innerHTML = `
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<div class="metric-row">
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<span class="metric-label">INTRINSIC_LOAD</span>
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<span class="metric-value">${intrinsicLoad.toFixed(2)} chunks</span>
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</div>
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<div class="metric-row">
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<span class="metric-label">EXTRANEous_LOAD</span>
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<span class="metric-value">${extraneousLoad.toFixed(2)}%</span>
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</div>
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<div class="metric-row">
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<span class="metric-label">GERMANE_CAPACITY</span>
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<span class="metric-value">${germaneCapacity.toFixed(2)}×</span>
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</div>
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<div class="metric-row">
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<span class="metric-label">TOTAL_WORKING_MEMORY_DEMAND</span>
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<span class="metric-value">${totalLoad.toFixed(2)} chunks</span>
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</div>
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<div class="metric-row">
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<span class="metric-label">EFFICIENCY_RATIO</span>
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<span class="metric-value">${efficiencyRatio.toFixed(3)}</span>
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</div>
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<div class="metric-row" style="border:none;margin-top:1rem;padding-top:1rem;border-top:2px solid #ff3300">
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<span class="metric-label" style="color:#ff3300">COGNITIVE_BUDGET_STATUS</span>
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<span class="metric-value" style="color:${totalLoad <= wmBudget ? '#00ff00' : '#ff3300'}">
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${totalLoad <= wmBudget ? 'WITHIN_BUDGET' : 'OVERLOAD_DETECTED'}
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</span>
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</div>
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<hr style="border-color:#444;margin:1.5rem 0">
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<p style="font-size:0.9rem;color:#888">// ANALYSIS:</p>
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${extraneousLoad < 15 ?
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`✓ MONOCHROME OPTIMIZATION VALIDATED: Extraneous load (${extraneousLoad.toFixed(1)}%) remains below 15% threshold. Terminal aesthetic successfully minimizes chromatic processing overhead.` :
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`✖ COLOR_OVERHEAD_EXCEEDED: ${extraneousLoad.toFixed(1)}% extraneous load exceeds safe threshold. Reduce color channels or eliminate decorative elements.`}
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<p style="font-size:0.9rem;color:#888;margin-top:1rem">// RESPONSE_LATENCY_PREDICTION:</p>
|
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|
<p style="font-size:0.9rem">Expected pattern recognition time: ${(totalLoad / germaneCapacity * 100).toFixed(1)}ms baseline ± ${(Math.random()*20).toFixed(0)}ms variance</p>
|
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|
|
`;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
// Auto-run calculation on load
|
|||
|
|
window.onload = calculateLoad;
|
|||
|
|
</script>
|
|||
|
|
</body>
|
|||
|
|
</html>
|