Kinematic re-envision of haptic expertise through Bernstein’s problem: A comparative analysis of stochastic and deterministic features

Park, C. ORCID: https://orcid.org/0000-0001-8714-5760 (2025). Kinematic re-envision of haptic expertise through Bernstein’s problem: A comparative analysis of stochastic and deterministic features. Expert Systems with Applications 276 e127146. 10.1016/j.eswa.2025.127146.

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Abstract

This study examined how skill level differences influence the interplay between deterministic and stochastic elements in motor control, focusing on Bernstein's challenge of coordinating abundant degrees of freedom. Using a custom-designed device integrated with motion-capture technology, we compared haptic accuracy and kinematic trajectories between expert and novice performers. Comprehensive statistical and frequency-domain analyses revealed that experts exhibited a broader range of frequency components, indicating a more flexible and adaptive control strategy. In contrast, novices showed narrower frequency bandwidths and more predictable trajectories, reflecting a relatively rigid approach. These findings illustrate how structured predictability (deterministic control) and adaptive variability (stochastic exploration) interact to shape skilled performance patterns. The results highlight the potential benefits of practice strategies that systematically introduce controlled variability, ultimately promoting the unfreezing of additional degrees of freedom and facilitating expert-level proficiency.

Item Type:	Article
Research Programs:	Evolution and Ecology (EEP)
Depositing User:	Luke Kirwan
Date Deposited:	26 Mar 2025 08:47
Last Modified:	26 Mar 2025 08:47
URI:	https://pure.iiasa.ac.at/20473

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