| <html lang="en"><head><meta charset="utf-8"> | |
| <title>User study stats · FrameWorker</title> | |
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| th { color: var(--muted); font-weight: 600; font-size: 11px; | |
| text-transform: uppercase; letter-spacing: 0.5px; } | |
| .q-block { background: var(--panel-2); border: 1px solid var(--border); | |
| border-radius: 6px; padding: 10px 12px; margin: 10px 0; } | |
| .q-block .q-title { font-weight: 600; font-size: 13px; margin-bottom: 4px; } | |
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| canvas { background: transparent; max-height: 240px; } | |
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| text-align: center; background: var(--panel-2); border-radius: 6px; } | |
| </style></head><body> | |
| <header> | |
| <h1>User study stats</h1> | |
| <span class="meta">generated <code id="ts"></code> · raters <b id="nrater"></b> | |
| · submissions <b id="nfile"></b> · 1–5 Likert</span> | |
| <span style="margin-left:auto"><a href="./" style="color:var(--accent)">← back to study</a></span> | |
| </header> | |
| <main> | |
| <section> | |
| <h2>Per dimension</h2> | |
| <canvas id="dimChart"></canvas> | |
| <table style="margin-top:12px"><thead><tr id="dimHead"></tr></thead> | |
| <tbody id="dimBody"></tbody></table> | |
| </section> | |
| <section> | |
| <h2>Per sub-question</h2> | |
| <table><thead><tr id="qHead"></tr></thead><tbody id="qBody"></tbody></table> | |
| </section> | |
| <section> | |
| <h2>Per sub-question — model comparison</h2> | |
| <div id="qCharts"></div> | |
| </section> | |
| </main> | |
| <script id="data" type="application/json">{"n_raters": 6, "n_payloads": 7, "models": ["ours", "baseline", "univa"], "per_question": [{"dim_label": "Instruction following", "q_label": "Controllability", "q_key": "controllability", "scores": {"ours": [3, 3, 3, 3, 3, 5, 5, 3, 4, 4, 3, 3, 3, 3, 3, 5, 5, 3, 4, 4, 2, 2, 4], "baseline": [1, 3, 1, 3, 3, 1, 1, 1, 1, 1, 1, 3, 1, 3, 3, 1, 1, 1, 1, 1, 1, 4, 3], "univa": [1, 3, 1, 3, 3, 1, 1, 1, 1, 1, 1, 3, 1, 3, 3, 1, 1, 1, 1, 1, 4, 3, 3]}}, {"dim_label": "Instruction following", "q_label": "Prompt adherence", "q_key": "prompt_adherence", "scores": {"ours": [3, 1, 3, 3, 2, 4, 4, 5, 3, 5, 3, 1, 3, 3, 2, 4, 4, 5, 3, 5, 2, 2, 4], "baseline": [1, 2, 3, 4, 3, 2, 4, 3, 3, 4, 1, 2, 3, 4, 3, 2, 4, 3, 3, 4, 3, 5, 3], "univa": [3, 3, 2, 4, 4, 2, 2, 4, 5, 4, 2, 3, 2, 4, 4, 2, 2, 4, 5, 4, 4, 3, 3]}}, {"dim_label": "Instruction following", "q_label": "No irrelevant frames", "q_key": "no_irrelevant_frames", "scores": {"ours": [2, 2, 2, 3, 2, 3, 4, 2, 5, 4, 2, 2, 2, 3, 2, 3, 4, 2, 5, 4, 3, 2, 3], "baseline": [2, 2, 1, 4, 4, 3, 4, 1, 2, 4, 2, 2, 1, 4, 4, 3, 4, 1, 2, 4, 2, 4, 2], "univa": [2, 2, 3, 2, 3, 1, 3, 2, 4, 4, 2, 2, 3, 2, 3, 1, 3, 2, 4, 4, 4, 3, 3]}}, {"dim_label": "Temporal consistency", "q_label": "Person stability", "q_key": "person_stability", "scores": {"ours": [2, 2, 3, 2, 5, 3, 3, 4, 5, 5, 2, 2, 3, 2, 5, 3, 3, 4, 5, 5, 4, 4, 4], "baseline": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 2], "univa": [3, 1, 2, 1, 2, 1, 1, 2, 3, 3, 2, 1, 2, 1, 2, 1, 1, 2, 3, 3, 4, 1, 3]}}, {"dim_label": "Temporal consistency", "q_label": "Object stability", "q_key": "object_stability", "scores": {"ours": [4, 2, 2, 5, 3, 4, 3, 4, 5, 5, 4, 2, 2, 5, 3, 4, 3, 4, 5, 5, 3, 3, 4], "baseline": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 3], "univa": [4, 1, 3, 1, 3, 1, 1, 1, 4, 2, 3, 1, 3, 1, 3, 1, 1, 1, 4, 2, 4, 1, 3]}}, {"dim_label": "Temporal consistency", "q_label": "Environment stability", "q_key": "environment_stability", "scores": {"ours": [2, 3, 5, 3, 4, 4, 4, 5, 5, 5, 2, 3, 5, 3, 4, 4, 4, 5, 5, 5, 4, 4, 4], "baseline": [1, 1, 1, 2, 3, 1, 1, 1, 3, 2, 1, 1, 1, 2, 3, 1, 1, 1, 3, 2, 1, 4, 2], "univa": [2, 1, 4, 1, 4, 1, 2, 1, 3, 3, 2, 1, 4, 1, 4, 1, 2, 1, 3, 3, 4, 2, 3]}}, {"dim_label": "Realism", "q_label": "Realism", "q_key": "realism", "scores": {"ours": [2, 2, 3, 3, 2, 2, 3, 4, 2, 3, 2, 2, 3, 3, 2, 2, 3, 4, 2, 3, 1, 2, 3], "baseline": [1, 2, 4, 2, 1, 1, 2, 1, 4, 4, 1, 2, 4, 2, 1, 1, 2, 1, 4, 4, 1, 4, 3], "univa": [2, 1, 2, 2, 2, 1, 1, 4, 4, 2, 3, 1, 2, 2, 2, 1, 1, 4, 4, 2, 4, 2, 3]}}, {"dim_label": "Realism", "q_label": "Motion logic", "q_key": "motion_logic", "scores": {"ours": [2, 3, 2, 2, 3, 4, 2, 4, 2, 2, 2, 3, 2, 2, 3, 4, 2, 4, 2, 2, 2, 4, 3], "baseline": [3, 3, 3, 2, 1, 2, 3, 1, 1, 2, 3, 3, 3, 2, 1, 2, 3, 1, 1, 2, 2, 4, 3], "univa": [3, 1, 1, 2, 3, 3, 1, 3, 1, 3, 3, 1, 1, 2, 3, 3, 1, 3, 1, 3, 4, 2, 3]}}, {"dim_label": "Realism", "q_label": "Camera", "q_key": "camera", "scores": {"ours": [4, 3, 3, 3, 3, 4, 2, 5, 3, 4, 4, 3, 3, 3, 3, 4, 2, 5, 3, 4, 2, 2, 3], "baseline": [2, 1, 2, 2, 3, 2, 1, 2, 2, 2, 2, 1, 2, 2, 3, 2, 1, 2, 2, 2, 2, 3, 2], "univa": [3, 1, 2, 2, 3, 3, 1, 3, 2, 2, 2, 1, 2, 2, 3, 3, 1, 3, 2, 2, 4, 2, 3]}}], "per_dim": [{"dim_label": "Instruction following", "scores": {"ours": [3, 3, 3, 3, 3, 5, 5, 3, 4, 4, 3, 3, 3, 3, 3, 5, 5, 3, 4, 4, 2, 2, 4, 3, 1, 3, 3, 2, 4, 4, 5, 3, 5, 3, 1, 3, 3, 2, 4, 4, 5, 3, 5, 2, 2, 4, 2, 2, 2, 3, 2, 3, 4, 2, 5, 4, 2, 2, 2, 3, 2, 3, 4, 2, 5, 4, 3, 2, 3], "baseline": [1, 3, 1, 3, 3, 1, 1, 1, 1, 1, 1, 3, 1, 3, 3, 1, 1, 1, 1, 1, 1, 4, 3, 1, 2, 3, 4, 3, 2, 4, 3, 3, 4, 1, 2, 3, 4, 3, 2, 4, 3, 3, 4, 3, 5, 3, 2, 2, 1, 4, 4, 3, 4, 1, 2, 4, 2, 2, 1, 4, 4, 3, 4, 1, 2, 4, 2, 4, 2], "univa": [1, 3, 1, 3, 3, 1, 1, 1, 1, 1, 1, 3, 1, 3, 3, 1, 1, 1, 1, 1, 4, 3, 3, 3, 3, 2, 4, 4, 2, 2, 4, 5, 4, 2, 3, 2, 4, 4, 2, 2, 4, 5, 4, 4, 3, 3, 2, 2, 3, 2, 3, 1, 3, 2, 4, 4, 2, 2, 3, 2, 3, 1, 3, 2, 4, 4, 4, 3, 3]}}, {"dim_label": "Temporal consistency", "scores": {"ours": [2, 2, 3, 2, 5, 3, 3, 4, 5, 5, 2, 2, 3, 2, 5, 3, 3, 4, 5, 5, 4, 4, 4, 4, 2, 2, 5, 3, 4, 3, 4, 5, 5, 4, 2, 2, 5, 3, 4, 3, 4, 5, 5, 3, 3, 4, 2, 3, 5, 3, 4, 4, 4, 5, 5, 5, 2, 3, 5, 3, 4, 4, 4, 5, 5, 5, 4, 4, 4], "baseline": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 4, 3, 1, 1, 1, 2, 3, 1, 1, 1, 3, 2, 1, 1, 1, 2, 3, 1, 1, 1, 3, 2, 1, 4, 2], "univa": [3, 1, 2, 1, 2, 1, 1, 2, 3, 3, 2, 1, 2, 1, 2, 1, 1, 2, 3, 3, 4, 1, 3, 4, 1, 3, 1, 3, 1, 1, 1, 4, 2, 3, 1, 3, 1, 3, 1, 1, 1, 4, 2, 4, 1, 3, 2, 1, 4, 1, 4, 1, 2, 1, 3, 3, 2, 1, 4, 1, 4, 1, 2, 1, 3, 3, 4, 2, 3]}}, {"dim_label": "Realism", "scores": {"ours": [2, 2, 3, 3, 2, 2, 3, 4, 2, 3, 2, 2, 3, 3, 2, 2, 3, 4, 2, 3, 1, 2, 3, 2, 3, 2, 2, 3, 4, 2, 4, 2, 2, 2, 3, 2, 2, 3, 4, 2, 4, 2, 2, 2, 4, 3, 4, 3, 3, 3, 3, 4, 2, 5, 3, 4, 4, 3, 3, 3, 3, 4, 2, 5, 3, 4, 2, 2, 3], "baseline": [1, 2, 4, 2, 1, 1, 2, 1, 4, 4, 1, 2, 4, 2, 1, 1, 2, 1, 4, 4, 1, 4, 3, 3, 3, 3, 2, 1, 2, 3, 1, 1, 2, 3, 3, 3, 2, 1, 2, 3, 1, 1, 2, 2, 4, 3, 2, 1, 2, 2, 3, 2, 1, 2, 2, 2, 2, 1, 2, 2, 3, 2, 1, 2, 2, 2, 2, 3, 2], "univa": [2, 1, 2, 2, 2, 1, 1, 4, 4, 2, 3, 1, 2, 2, 2, 1, 1, 4, 4, 2, 4, 2, 3, 3, 1, 1, 2, 3, 3, 1, 3, 1, 3, 3, 1, 1, 2, 3, 3, 1, 3, 1, 3, 4, 2, 3, 3, 1, 2, 2, 3, 3, 1, 3, 2, 2, 2, 1, 2, 2, 3, 3, 1, 3, 2, 2, 4, 2, 3]}}], "generated_at_utc": "2026-05-11T21:10:05Z"}</script> | |
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| const DATA = JSON.parse(document.getElementById("data").textContent); | |
| const COLORS = ["#6aa9ff","#ff9f43","#28c76f","#ea5455","#b46aff"]; | |
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| document.getElementById("nrater").textContent = DATA.n_raters; | |
| document.getElementById("nfile").textContent = DATA.n_payloads; | |
| function mean(arr) { return arr.length ? arr.reduce((a,b)=>a+b,0)/arr.length : null; } | |
| function std(arr) { | |
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| /* Dimension table + bar chart */ | |
| { | |
| const head = document.getElementById("dimHead"); | |
| head.innerHTML = "<th>Dimension</th>" + DATA.models.map(m => | |
| `<th><span class="legend-dot" style="background:${MODEL_COLOR[m]}"></span>${m}</th>`).join(""); | |
| const body = document.getElementById("dimBody"); | |
| for (const d of DATA.per_dim) { | |
| const tr = document.createElement("tr"); | |
| tr.innerHTML = `<td>${d.dim_label}</td>` + | |
| DATA.models.map(m => `<td>${fmt(d.scores[m] || [])}</td>`).join(""); | |
| body.appendChild(tr); | |
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| const labels = DATA.per_dim.map(d => d.dim_label); | |
| const datasets = DATA.models.map(m => ({ | |
| label: m, | |
| data: DATA.per_dim.map(d => mean(d.scores[m] || [])), | |
| backgroundColor: MODEL_COLOR[m] + "cc", | |
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| type: "bar", | |
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| }, | |
| plugins: { legend: { labels: { color: "#e6e8ef" } } }, | |
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| }); | |
| } | |
| /* Per-question table */ | |
| { | |
| const head = document.getElementById("qHead"); | |
| head.innerHTML = "<th>Dim</th><th>Sub-question</th>" + DATA.models.map(m => | |
| `<th><span class="legend-dot" style="background:${MODEL_COLOR[m]}"></span>${m}</th>`).join(""); | |
| const body = document.getElementById("qBody"); | |
| for (const q of DATA.per_question) { | |
| const tr = document.createElement("tr"); | |
| tr.innerHTML = `<td>${q.dim_label}</td><td>${q.q_label}</td>` + | |
| DATA.models.map(m => `<td>${fmt(q.scores[m] || [])}</td>`).join(""); | |
| body.appendChild(tr); | |
| } | |
| } | |
| /* One mini bar chart per sub-question */ | |
| { | |
| const wrap = document.getElementById("qCharts"); | |
| for (const q of DATA.per_question) { | |
| const total = DATA.models.reduce((n, m) => n + (q.scores[m] || []).length, 0); | |
| const block = document.createElement("div"); | |
| block.className = "q-block"; | |
| block.innerHTML = `<div class="q-title">${q.q_label}</div> | |
| <div class="q-dim">${q.dim_label}</div>`; | |
| if (!total) { | |
| const e = document.createElement("div"); | |
| e.className = "empty"; e.textContent = "(no ratings yet)"; | |
| block.appendChild(e); wrap.appendChild(block); continue; | |
| } | |
| const c = document.createElement("canvas"); | |
| block.appendChild(c); wrap.appendChild(block); | |
| const datasets = DATA.models.map(m => ({ | |
| label: m, | |
| data: [mean(q.scores[m] || [])], | |
| backgroundColor: MODEL_COLOR[m] + "cc", | |
| borderColor: MODEL_COLOR[m], borderWidth: 1, | |
| })); | |
| new Chart(c, { | |
| type: "bar", | |
| data: { labels: [q.q_label], datasets }, | |
| options: { | |
| indexAxis: "y", responsive: true, | |
| scales: { | |
| x: { min: 0, max: 5, ticks: { color: "#8b91a8" }, grid: { color: "#2a2f42" } }, | |
| y: { ticks: { display: false }, grid: { display: false } }, | |
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| plugins: { legend: { labels: { color: "#e6e8ef" } } }, | |
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