# Task, person, and experiential characteristics drive the transfer of learning

**Authors:** Kyle J. LaFollette, David J. Frank, Alexander P. Burgoyne, Brooke N. Macnamara

PMC · DOI: 10.1038/s44271-026-00408-9 · Communications Psychology · 2026-01-29

## TL;DR

This study shows how task design, individual traits, and stress influence the ability to transfer learning to new environments.

## Contribution

The study reveals how emotional and physiological traits interact with task environments to shape learning transfer.

## Key findings

- Task consistency improves learning efficiency but switching to inconsistent environments disrupts performance.
- Individual differences in emotion-cognition traits and physiological reactivity shape post-switch performance patterns.
- Emotional and physiological regulation interact with environments to influence transfer outcomes.

## Abstract

The ability to transfer skills is critical for complex performance. However, performance in complex environments is often examined within single levels of analysis, neglecting interactions among characteristics of the task, person, and experience. Here, we examine how intervention-level factors (task consistency, stress), between-person differences (emotion-cognition traits, physiological traits), and within-person fluctuations (amount of practice) jointly influence transfer. Across six rounds of a gamified learning task, participants (N = 241) trained under stress or control conditions and in consistent or inconsistent task environments. They then either continued or switched to the other task environment. Results revealed that task consistency enhanced efficiency during learning, but switching to an inconsistent environment disrupted performance. Patterns in pre- to post-switch performance were shaped by physiological reactivity and emotion-cognition traits, including cognitive reappraisal and intolerance of uncertainty, revealing compensatory adaptations that group-level analyses may obscure. These findings advance existing transfer models by highlighting how emotional and physiological regulation interact with environment.

Skill transfer depends on how tasks are structured, who is trained, and how they experience stress. This study demonstrates that individual differences in emotion-cognition traits and physiological responses shape divergent transfer trajectories.

## Full-text entities

- **Diseases:** loss of feeling in limbs (MESH:D001259), venous thrombosis (MESH:D020246), impaired decision-making (MESH:D020195), heart disease (MESH:D006331), frostbite (MESH:D005627), peripheral vascular disease (MESH:D016491), Anxiety (MESH:D001007), Reynaud's syndrome (MESH:D005359), BAS (MESH:D001523), loss of consciousness (MESH:D014474), diabetes mellitus (MESH:D003920), fatigue (MESH:D005221), HF (MESH:D006316), seizures (MESH:D012640)
- **Chemicals:** ERQ (-), propranolol (MESH:D011433), cortisol (MESH:D006854), atropine (MESH:D001285), water (MESH:D014867)
- **Species:** Powellomyces sp. EA (species) [taxon 252690], Homo sapiens (human, species) [taxon 9606], Helianthus (sunflowers, genus) [taxon 4231]
- **Cell lines:** H4 — Macaca fascicularis (Crab-eating macaque), Induced pluripotent stem cell (CVCL_JF98)

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12957431/full.md

## References

15 references — full list in the complete paper: https://tomesphere.com/paper/PMC12957431/full.md

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Source: https://tomesphere.com/paper/PMC12957431