Claims

In LQG transfer simulations, complexity affects all metrics while scaling-ratio effects appear only in efficiency metrics, with a rotational-path-length Complexity × Ratio interaction

Claim · All claims
Evidence · 1 study · causal r1 · q1
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.

q1 i? Collisions and collision duration showed significant Complexity effects but non-significant Ratio effects and interactions. → 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

q1 · i? · causal · r1

Same LQG transfer simulation: contact metrics showed significant Complexity main effects (e.g., collisions Level F(2, 18) = 23.190, p < 0.001) with non-significant Ratio effects, per the article "largely insensitive to the mapping ratio in this LQG setting".

"In contrast, contact-related metrics showed a different pattern: collisions and collision duration both showed significant main effects of Complexity, whereas their Ratio effects and interactions were not significant, suggesting that contact dynamics during transfer were largely insensitive to the mapping ratio in this LQG setting."

Discussion

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generated by process:wiki-ingest on 2026-10-27
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