Evidence map›Paper›PMID 33205350›Full record

ArticleBehavior research methods2021

Harnessing tactile waves to measure skin-to-skin interactions.

Louise P Kirsch, Xavier E Job, Malika Auvray, Vincent Hayward

Abstract read
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In one paragraph

Article in Behavior research methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Paving the way for social touch at a distance: Sonifying tactile interactions and their underlying emotions.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Louise P KirschInstitut des Systèmes Intelligents et de Robotique, Sorbonne Université, 4 place Jussieu, 75005, Paris, France. kirsch@isir.upmc.fr.
Xavier E JobInstitut des Systèmes Intelligents et de Robotique, Sorbonne Université, 4 place Jussieu, 75005, Paris, France.
Malika AuvrayInstitut des Systèmes Intelligents et de Robotique, Sorbonne Université, 4 place Jussieu, 75005, Paris, France.ORCID http://orcid.org/0000-0002-4173-8146
Vincent HaywardInstitut des Systèmes Intelligents et de Robotique, Sorbonne Université, 4 place Jussieu, 75005, Paris, France.ORCID http://orcid.org/0000-0002-2102-1965

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skin-to-skin touch is an essential form of tactile interaction, yet there is no known method to quantify how we touch our own skin or someone else's skin. Skin-to-skin touch is particularly challenging to measure objectively, since interposing an instrumented sheet, no matter how thin and flexible, between the interacting skins is not an option. To fill this gap, we explored a technique that takes advantage of the propagation of vibrations from the locus of touch to pick up a signal that contains information about skin-to-skin tactile interactions. These "tactile waves" were measured by an accelerometer sensor placed on the touching finger. Applied pressure and speed had a direct influence on measured signal power when the target of touch was the self or another person. The measurements were insensitive to changes in the location of the sensor relative to the target. Our study suggests that this method has potential for probing behaviour during skin-to-skin tactile interactions and could be a valuable technique to study social touch, self-touch, and motor control. The method is non-invasive, easy to commission, inexpensive, and robust.

Indexed as

TouchTouch PerceptionFingersHumansSelf-touchSkin-to-skin touchSocial touchTactile interaction

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.