Engage-to-Unlock participants submitted more prompts than both Standard Chatbot and Time-Matched Unlock participants¶
Claim · All claims
Evidence · 1 study · causalr2·q3·i3large
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person
Subclaims¶
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q3 i3 Engage-to-Unlock participants submitted more prompts (M=7.70) than Standard Chatbot participants (M=3.35), d=0.85, and more than Time-Matched Unlock participants (M=5.40), d=0.39. → 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 · i3 · causal · r2
Planned Welch contrasts with Holm correction on prompt counts across the three AI-assisted conditions in the N=398 experiment. Engage-to-Unlock (M=7.70, SD=6.46) also exceeded Time-Matched Unlock (M=5.40, SD=5.12), "a difference of 2.30 prompts (Welch's 𝑡( 196.9)= 2.81, 𝑝Holm =. 005,𝑑= 0.39)"; the Standard Chatbot contrast gave d=0.85.
"Engage-to-Unlock participants also submitted more prompts than those in Standard Chatbot (𝑀= 3.35,𝑆𝐷=2.98), a difference of 4.35 prompts (𝑡(152.0)=6.28,𝑝 Holm < .001,𝑑=0.85)."
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Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
engage-to-unlock-increases-prompt-submission |
title |
Engage-to-Unlock participants submitted more prompts than both Standard Chatbot and Time-Matched Unlock participants |
description |
Engage-to-Unlock participants submitted more prompts than both Standard Chatbot and Time-Matched Unlock participants |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — xiaotian-su-2026 |
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