Perception of Interdependent Finger Forces During a Bimanual Finger Pressing Task

<b>Background:</b> Perception of force involves integrating sensory and motor signals to form an accurate percept. Since individual finger pressing inadvertently causes neighboring fingers to exert force involuntarily, intriguing is its contribution to proprioception considering the increased force feedback during the task. For instance, pressing with the middle finger often generates substantial involuntary force in the adjacent ring finger. Although prior studies have examined perception of finger forces during contralateral force-matching tasks, the influence of interdependent forces on force perception remains unknown.<b>Purpose:</b> This study examined the perception of unintentional interdependent forces in relation to voluntary efforts. <b>Research Design:</b> Experimental, within a subject study. Study Sample: Twelve right-handed participants without neurological and orthopedic impairments. <b>Data Collection and/or Analysis:</b> All participants performed bilateral finger-pressing tasks, producing a target force with their middle finger (reference hand) while generating an interdependent force with their ring finger. Subsequently, they matched this involuntary ring-finger force using their contralateral hand. We hypothesized that perception of interdependent forces would be less accurate than voluntary forces due to weaker coupling between motor commands and sensory feedback (efferent copy). Additionally, we expected that matching responses would reflect a bias toward the sum of instructed and interdependent forces rather than the interdependent force alone, and that variability would be greater in the absence of visual feedback.<b>Results:</b> Perception of interdependent forces was significantly less accurate, and matching accuracy improved when participants matched the summed force. Variability was notably higher without visual feedback, while visual cues reduced variability in the reference hand. <b>Conclusions:</b> These findings clarify how unintentional forces influence perception in tasks that involve multiple interdependent fingers. Unintentinal interdependent forces impair perceptual accuracy compared to voluntary forces, likely due to weaker coupling between motor commands and sensory feedback. Perceptual judgements appear biased toward the total generated force rather than isolated independent components.

Authors

Institutions

Publication Details

Journal
Perceptual and Motor Skills
Published
2026-03-09
DOI
https://doi.org/10.1177/00315125261432718
Primary Topic
Motor Control and Adaptation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Perception of Interdependent Finger Forces During a Bimanual Finger Pressing Task

Cristian Cuadra, Valters Abolins, Edgars Bernāns
Perceptual and Motor Skills
Motor Control and Adaptation
article

Perception of Interdependent Finger Forces During a Bimanual Finger Pressing Task

Cristian Cuadra, Valters Abolins, Edgars Bernāns
article en

Abstract

<b>Background:</b> Perception of force involves integrating sensory and motor signals to form an accurate percept. Since individual finger pressing inadvertently causes neighboring fingers to exert force involuntarily, intriguing is its contribution to proprioception considering the increased force feedback during the task. For instance, pressing with the middle finger often generates substantial involuntary force in the adjacent ring finger. Although prior studies have examined perception of finger forces during contralateral force-matching tasks, the influence of interdependent forces on force perception remains unknown.<b>Purpose:</b> This study examined the perception of unintentional interdependent forces in relation to voluntary efforts. <b>Research Design:</b> Experimental, within a subject study. Study Sample: Twelve right-handed participants without neurological and orthopedic impairments. <b>Data Collection and/or Analysis:</b> All participants performed bilateral finger-pressing tasks, producing a target force with their middle finger (reference hand) while generating an interdependent force with their ring finger. Subsequently, they matched this involuntary ring-finger force using their contralateral hand. We hypothesized that perception of interdependent forces would be less accurate than voluntary forces due to weaker coupling between motor commands and sensory feedback (efferent copy). Additionally, we expected that matching responses would reflect a bias toward the sum of instructed and interdependent forces rather than the interdependent force alone, and that variability would be greater in the absence of visual feedback.<b>Results:</b> Perception of interdependent forces was significantly less accurate, and matching accuracy improved when participants matched the summed force. Variability was notably higher without visual feedback, while visual cues reduced variability in the reference hand. <b>Conclusions:</b> These findings clarify how unintentional forces influence perception in tasks that involve multiple interdependent fingers. Unintentinal interdependent forces impair perceptual accuracy compared to voluntary forces, likely due to weaker coupling between motor commands and sensory feedback. Perceptual judgements appear biased toward the total generated force rather than isolated independent components.

Perceptual and Motor Skills
Universidad Andrés Bello (CL), Riga Stradiņš University (LV), University at Buffalo, State University of New York (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 33%
Motor Control and Adaptation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.