Pith Number

pith:NLWJL6XV

pith:2026:NLWJL6XV2IMVNW4U6WPASOYRTS

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Sycamore: Characterizing Synthetic Personas for Evaluating Genomics Visualization Retrieval

Astrid van den Brandt, Huyen N. Nguyen, Nils Gehlenborg

Grounding synthetic personas in real interview data shifts their feedback on a genomics visualization tool toward documented user concerns, while ungrounded versions focus on operational details and both miss experts' image-modality focus.

arxiv:2605.08630 v2 · 2026-05-09 · cs.HC

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\pithnumber{NLWJL6XV2IMVNW4U6WPASOYRTS}

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Grounding synthetic personas with voice-of-customer artifacts from a prior interview study shifts their feedback toward the language and concerns of documented users, while ungrounded evaluators drift toward operational specifics; both synthetic conditions converge on a find-and-adapt frame and miss the image-modality preference observed in the expert study.

C2weakest assumption

That the observed differences in feedback patterns between the three conditions are driven primarily by the grounding manipulation rather than by prompt phrasing, model choice, or the specific properties of the Geranium tool and the single prior interview study used for grounding.

C3one line summary

Grounding synthetic personas in real-user artifacts aligns their feedback language and concerns with documented experts, but both synthetic conditions converge on a find-and-adapt frame and miss the image-modality preference that real experts showed.

Cited by

1 paper in Pith

Through the WordStream Glass: Revisiting Quantitative Encoding for Qualitative Learning Analytics

Receipt and verification

First computed	2026-06-19T16:11:24.282802Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

6aec95faf5d21956db94f59e093b119c9c21d209759c2cab6ebe5d0b97f9f8be

Aliases

arxiv: 2605.08630 · arxiv_version: 2605.08630v2 · doi: 10.48550/arxiv.2605.08630 · pith_short_12: NLWJL6XV2IMV · pith_short_16: NLWJL6XV2IMVNW4U · pith_short_8: NLWJL6XV

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/NLWJL6XV2IMVNW4U6WPASOYRTS \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 6aec95faf5d21956db94f59e093b119c9c21d209759c2cab6ebe5d0b97f9f8be

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "cee2e7a1b0abac45028d612fca08c297fcf68cd98f21d4a8d79f6ca588b80baf",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.HC",
    "submitted_at": "2026-05-09T02:45:33Z",
    "title_canon_sha256": "d59432d552f75a5413ec89438bac4dad405aa4869fa674aec65121ef314a75e4"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.08630",
    "kind": "arxiv",
    "version": 2
  }
}