Higher-skill trainees elicit faster-climbing AVP disclosure trajectories, directionally supporting skill sensitivity, though the formal interaction test is underpowered¶
Claim · All claims
Evidence · 1 study · designr2·q2
Currency · newest study 2026 · not yet checked against its sources · 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.
q2 i? High-skill sessions climbed steeper (Δ = +0.85) than low-skill ones (Δ = +0.60) in the predicted direction, but the slope-by-skill interaction did not reach significance. → Angela Chen 2026
Evidence¶
Angela Chen 2026¶
Angela Chen, Siwei Jin, Catherine Bao, Canwen Wang, Robert E. Kraut, Tongshuang Wu, and Haiyi Zhu. (2026). The Empirically Grounded Adaptive Virtual Patient for Psychotherapy Training: Disclosure That Responds to Therapist Micro-Skills. https://arxiv.org/abs/2606.10051 doi:10.48550/arxiv.2606.10051
q2 · i? · design · r2
Median composite-skill split of AVP sessions (n=20 per stratum as printed in Table 3) comparing disclosure trajectory change. The article reports the formal interaction as "ˆβ= +0.020 , p=.27" and attributes non-significance to limited power at N= 20 per stratum; no standardized effect size is printed.
"high-skill sessions climb steeper ( ∆ = +0.85) than low-skill ones ( ∆ = +0.60 ), in the predicted direction (Table 3)."
Discussion¶
Related Claims¶
- The adaptive virtual patient produces a steadily climbing disclosure trajectory across a session while a prompt-only baseline with the same LLM and persona stays flat — related
- In the AVP, per-turn disclosure change responds to trainee exploration but not measurably to trainee empathy, and the static baseline shows no significant joint response — related
- AURA's within-session reinforcement learning improved composite response quality over non-adaptive baselines (p = 0.044, d = 0.66), with fewer specification prompts and more validation behavior — related
- The deployed empirically motivated weight vector outperforms equal, empathy-only, and exploration-only weightings in evaluator agreement, with exploration carrying most of the adaptive signal — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
avp-skill-sensitivity-directional |
title |
Higher-skill trainees elicit faster-climbing AVP disclosure trajectories, directionally supporting skill sensitivity, though the formal interaction test is underpowered |
description |
Higher-skill trainees elicit faster-climbing AVP disclosure trajectories, directionally supporting skill sensitivity, though the formal interaction test is underpowered |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — angela-chen-2026 |
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