Precise tactile localization on tools in two dimensions

<h2>Summary</h2> The ability to localize touch on the skin is a fundamental perceptual skill. Recent results show that this ability extends to hand-held tools, allowing participants to precisely localize along a rod's length. This tool-based localization may involve repurposing body-based somatosensory mechanisms. It remains unclear whether precise localization is limited to one-dimensional tools aligned with the long axis of the arm. Here, we show that touch can be localized along multiple dimensions of a held object. Participants held a square board while we measured tactile localization performance. Accuracy was well above chance, both overall and for both the proximodistal and medio-lateral axes. Notably, localization was more precise in the medio-lateral axis, reflecting an anisotropy similar to tactile perception on the skin. This anisotropy was defined in a hand-centered reference frame. These results show that wielded objects can be integrated with the somatosensory system, allowing rich tactile perception from tools.

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Publication Details

Journal
iScience
Published
2026-05-22
DOI
https://doi.org/10.1016/j.isci.2026.115964
Primary Topic
Robot Manipulation and Learning
Type
article
Field-Weighted Citation Impact
0.00

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article

Precise tactile localization on tools in two dimensions

Luke E. Miller, Rachel Forde, Matthew R. Longo, Jonathan Joel et al.
iScience
Robot Manipulation and Learning
article

Precise tactile localization on tools in two dimensions

Luke E. Miller, Rachel Forde, Matthew R. Longo, Jonathan Joel, Alessandro Farnè
article en

Abstract

<h2>Summary</h2> The ability to localize touch on the skin is a fundamental perceptual skill. Recent results show that this ability extends to hand-held tools, allowing participants to precisely localize along a rod's length. This tool-based localization may involve repurposing body-based somatosensory mechanisms. It remains unclear whether precise localization is limited to one-dimensional tools aligned with the long axis of the arm. Here, we show that touch can be localized along multiple dimensions of a held object. Participants held a square board while we measured tactile localization performance. Accuracy was well above chance, both overall and for both the proximodistal and medio-lateral axes. Notably, localization was more precise in the medio-lateral axis, reflecting an anisotropy similar to tactile perception on the skin. This anisotropy was defined in a hand-centered reference frame. These results show that wielded objects can be integrated with the somatosensory system, allowing rich tactile perception from tools.

iScienceVol. 29(6)
Université Claude Bernard Lyon 1 (FR), Centre National de la Recherche Scientifique (FR), Radboud University Nijmegen (NL), Inserm (FR), Centre de Recherche en Neurosciences de Lyon (FR), Birkbeck, University of London (GB)
Agence Nationale de la Recherche
Openalex Percentile: Top 7%
Robot Manipulation and Learning
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