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<!DOCTYPE html>
<html lang="en"><head><meta charset="utf-8">
<title>User study stats · FrameWorker</title>
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<script src="https://cdn.jsdelivr.net/npm/chart.js@4.4.4/dist/chart.umd.min.js"></script>
<style>
  :root { --bg:#0f1115; --panel:#161922; --panel-2:#1c2030; --border:#2a2f42;
            --fg:#e6e8ef; --muted:#8b91a8; --accent:#6aa9ff; --good:#28c76f;
            --warn:#ff9f43; --bad:#ea5455; }
  body { margin: 0; background: var(--bg); color: var(--fg);
    font-family: -apple-system, "Inter", "PingFang SC", sans-serif; }
  header { padding: 14px 24px; border-bottom: 1px solid var(--border);
    background: var(--panel); display: flex; gap: 14px; align-items: baseline;
    flex-wrap: wrap; }
  header h1 { font-size: 18px; margin: 0; }
  header .meta { color: var(--muted); font-size: 12px; }
  main { padding: 18px 24px; max-width: 1100px; margin: 0 auto; }
  section { background: var(--panel); border: 1px solid var(--border);
    border-radius: 8px; padding: 16px 18px; margin-bottom: 16px; }
  h2 { font-size: 15px; margin: 0 0 12px; color: var(--accent); }
  table { border-collapse: collapse; width: 100%; font-size: 13px; }
  th, td { padding: 6px 10px; border-bottom: 1px solid var(--border); text-align: left; }
  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; }
  .q-block .q-dim { color: var(--muted); font-size: 11px; }
  canvas { background: transparent; max-height: 240px; }
  .legend-dot { display: inline-block; width: 9px; height: 9px;
    border-radius: 50%; margin-right: 4px; vertical-align: middle; }
  .empty { color: var(--muted); font-size: 12px; padding: 20px;
    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>
<script>
const DATA = JSON.parse(document.getElementById("data").textContent);
const COLORS = ["#6aa9ff","#ff9f43","#28c76f","#ea5455","#b46aff"];
const MODEL_COLOR = Object.fromEntries(DATA.models.map((m,i) => [m, COLORS[i % COLORS.length]]));

document.getElementById("ts").textContent = DATA.generated_at_utc;
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) {
  if (arr.length < 2) return 0;
  const m = mean(arr); const v = arr.reduce((a,b)=>a+(b-m)*(b-m),0)/(arr.length-1);
  return Math.sqrt(v);
}
function fmt(arr) {
  if (!arr.length) return "—";
  const m = mean(arr); const s = std(arr);
  return arr.length > 1 ? `${m.toFixed(2)} ± ${s.toFixed(2)} (n=${arr.length})`
                        : `${m.toFixed(2)} (n=${arr.length})`;
}

/* 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);
  }

  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",
    borderColor: MODEL_COLOR[m], borderWidth: 1,
  }));
  new Chart(document.getElementById("dimChart"), {
    type: "bar",
    data: { labels, datasets },
    options: {
      responsive: true, scales: {
        y: { min: 0, max: 5, ticks: { color: "#8b91a8" }, grid: { color: "#2a2f42" } },
        x: { ticks: { color: "#e6e8ef" }, grid: { display: false } },
      },
      plugins: { legend: { labels: { color: "#e6e8ef" } } },
    },
  });
}

/* 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 } },
        },
        plugins: { legend: { labels: { color: "#e6e8ef" } } },
      },
    });
  }
}
</script>
</body></html>