---
license: cc-by-4.0
tags: [human-study, web-agents, grounding, hci]
---

# PageGuide user study — task results

Every answered task from the PageGuide web study that the analysis is currently counting, one
row per task, straight from `study_task_results_v2`.

Exported 2026-08-14T05:06:35.500Z · 217 rows · 43 participants.

## Conditions

Each participant sees both arms, interleaved task by task:

- `nongrounding` — the agent reports an answer with no evidence attached.
- `grounding` — the same claims, with citations into the page and saved image crops.

## Which tasks are counted

| Facet | Rows | Tasks | Selected by |
|---|---|---|---|
| Find × Text | 65 | EDU-v1, MUFC-V1-TEXT, NVIDA-V1, HARRY-v1 | the committed defaults |
| Find × Visual | 45 | TREE-V1, SVSF-V1, TESLA-V1 | the committed defaults |
| Guide × Text | 49 | gv2-ms9j3200-u0i9nm, gv2-ms9hwloh-15fuvy, gv2-ed05972e-i5fi3b, gv2-ed35d549-ct71ub | the committed defaults |
| Guide × Visual | 58 | gv2-msf1kfhv-o9o8n8, gv2-msf0vpxs-qucehj, gv2-msf0i7ll-hffde9, gv2-msf28nd3-gig8aj | the committed defaults |

Some tasks are held out of a card — a disputed answer key, a duplicate re-recording, a run whose
ground truth cannot be scored in full. The table above is exactly what produced this export.

## What is not here

Participants' free-text notes are omitted, and the session id is replaced by a per-export
`participant` integer. Both are deliberate: the notes are the only column that can carry
something about a person rather than about a task.

## Scoring

`score_*_precision` / `score_*_recall` are the raw rates; the dashboard combines them as F1.
For Find that is over the passages picked, for Guide the mean of an F1 over the error types
named and an F1 over the steps blamed, with a correct "no error" scoring in full on a run that
contains none. A null precision means the participant predicted nothing — zero true positives —
so its F1 is 0 rather than missing.