Engage-to-Unlock redistributed effort across tasks: participants spent more time writing and less time evaluating, without increasing overall task duration¶
Claim · All claims
Evidence · 1 study · causalr2·q3
Currency · newest study 2026 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q3 i? Compared with Standard Chatbot, Engage-to-Unlock participants spent about 4.77 minutes longer writing and 4.80 minutes less evaluating, a significant cross-task difference-in-differences of −9.57 minutes, while total task duration did not differ significantly across conditions. → Xiaotian Su 2026
Evidence¶
Xiaotian Su 2026¶
Xiaotian Su, Laura Rimell, Jiazheng Li, Amal Rannen-Triki, Ulrich Paquet, Lisa Anne Hendricks, Rida Qadri, Daphne Ippolito and Piotr Mirowski. (2026). Who Thinks First? Designing Productive Friction with Engage-to-Unlock GenAI. https://arxiv.org/abs/2610.01518 doi:10.48550/arxiv.2610.01518
q3 · i? · causal · r2
In the controlled four-condition Prolific experiment (N=398), planned interaction contrasts from a repeated-measures mixed-effects model compared the change in duration from writing to evaluation. The article reports the Condition× Task interaction was significant, F(3, 394)= 7.85, p < .001, and total duration did not differ significantly across conditions (F(3, 216.86)= 1.02, p=. 383).
"Adaptive participants spent 4.77 min longer on Task 1 but 4.80 min less on Task 2, yielding a significant cross-task difference-in-differences of−9.57min ( 𝑝Holm < .001)."
Discussion¶
Learner Variables¶
- Time and Continuity — outcome: instruction changes it
Related Claims¶
- Engage-to-Unlock participants completed passage evaluation faster and with higher accuracy-per-time efficiency than both AI-access comparison conditions — related
- AI access shifts learning-time composition away from writing toward reading and searching, with total learning time unchanged — related
- GenAI tutorials took longer than ePBLM tutorials, with approximately 10 additional minutes spent on history-taking — related
- AI-tutored students spend less time on task than the 60-minute in-class lesson, with no correlation between time and scores — related
- Guided LiquidText users redistribute task time toward document processing and away from writing — related
- Eye movements shift from easy, low-support tasks during early selections to faster orientation toward more difficult tasks during final selections — related
- Learner control substantially increases time-on-task in animated multimedia instruction — related
- Practicing with AI was less effortful than practicing alone, with participants spending less time and logging fewer keystrokes — related
- Engage-to-Unlock improved error-classification accuracy over Standard Chatbot but showed no significant advantage in overall judgment accuracy or complete diagnosis — related
- Low-guidance set-ups took longer than high-guidance set-ups in the CVS instruction sessions — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
engage-to-unlock-redistributes-effort-across-tasks |
title |
Engage-to-Unlock redistributed effort across tasks: participants spent more time writing and less time evaluating, without increasing overall task duration |
description |
Engage-to-Unlock redistributed effort across tasks: participants spent more time writing and less time evaluating, without increasing overall task duration |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
source_checked |
2026-10-20 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — xiaotian-su-2026 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.