Claims

Human trainees show no clear asymmetric transfer of motion scaling ratio, and scaling ratio effects are small relative to complexity effects

Claim · All claims
Evidence · 1 study · causal r1 · 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? Transfer performance did not show a strong directional dependence on the trained motion scaling ratio, and the observed ratio effect was small. → Yinqi Huang 2026

Evidence

Yinqi Huang 2026

Yinqi Huang, Yilin Cai, Mengyao Li, Yue Chen & Robert C. Wilson. (2026). Human learning dynamics during teleoperation of surgical robots. npj Science of Learning. https://doi.org/10.1038/s41539-026-00442-6

q2 · i? · causal · r1

Human retention/transfer LME analysis across training ratios 1:0.2 and 1:0.6 tested at 1:0.4; the article reports "the observed effect of motion scaling ratio was small" and no clear asymmetric transfer pattern. No effect size for the ratio effect is printed.

"In contrast, the observed effect of motion scaling ratio was small, and we did not observe a clear asymmetric transfer pattern in humans. Thus, the human results do not support Hypothesis 3 as ori- ginally stated."

Discussion

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