Evidence map›Paper›PMID 30482858›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Contact mechanics between the human finger and a touchscreen under electroadhesion.

Mehmet Ayyildiz, Michele Scaraggi, Omer Sirin, Cagatay Basdogan, Bo N J Persson

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.7field-weighted citation impact, top 3% of its field
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

16 citing papers in PubMed, 109 citations in OpenAlex.

  1. Fingerpad contact evolution under electrovibration.Journal of the Royal Society, Interface · 2019
    Trial
  2. Review
  3. Article
  4. Article
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  6. Article
  7. Article
  8. A touch-based multimodal and cryptographic bio-human-machine interface.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  9. Improving and evaluating the adhesion and stability of make-up by enhancing the affinity between skin/make-up layer.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2022
    Article
  10. Article
  11. The ultrafast snap of a finger is mediated by skin friction.Journal of the Royal Society, Interface · 2021
    Article
  12. Attractive forces slow contact formation between deformable bodies underwater.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Linking energy loss in soft adhesion to surface roughness.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
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

5 authors at 4 institutions in 3 countries.

Mehmet AyyildizTheory 1, Peter Grünberg Institute-1, Forschungszentrum Jülich, 52425 Jülich, Germany.ORCID 0000-0003-3411-6215
Michele ScaraggiTheory 1, Peter Grünberg Institute-1, Forschungszentrum Jülich, 52425 Jülich, Germany.ORCID 0000-0001-8964-9970
Omer SirinCollege of Engineering, Koc University, 34450 Istanbul, Turkey.
Cagatay BasdoganCollege of Engineering, Koc University, 34450 Istanbul, Turkey.
Bo N J PerssonTheory 1, Peter Grünberg Institute-1, Forschungszentrum Jülich, 52425 Jülich, Germany; B.Persson@fz-juelich.de.
Koç University · TRForschungszentrum Jülich · DEIstanbul Bilgi University · TRUniversity of Salento · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The understanding and control of human skin contact against technological substrates is the key aspect behind the design of several electromechanical devices. Among these, surface haptic displays that modulate the friction between the human finger and touch surface are emerging as user interfaces. One such modulation can be achieved by applying an alternating voltage to the conducting layer of a capacitive touchscreen to control electroadhesion between its surface and the finger pad. However, the nature of the contact interactions between the fingertip and the touchscreen under electroadhesion and the effects of confined material properties, such as layering and inelastic deformation of the stratum corneum, on the friction force are not completely understood yet. Here, we use a mean field theory based on multiscale contact mechanics to investigate the effect of electroadhesion on sliding friction and the dependency of the finger-touchscreen interaction on the applied voltage and other physical parameters. We present experimental results on how the friction between a finger and a touchscreen depends on the electrostatic attraction between them. The proposed model is successfully validated against full-scale (but computationally demanding) contact mechanics simulations and the experimental data. Our study shows that electroadhesion causes an increase in the real contact area at the microscopic level, leading to an increase in the electrovibrating tangential frictional force. We find that it should be possible to further augment the friction force, and thus the human tactile sensing, by using a thinner insulating film on the touchscreen than used in current devices.

Indexed as

AdhesivenessBiomechanical PhenomenaElectronicsFingersFrictionHumansModels, BiologicalSkin Physiological PhenomenaSmartphoneStatic ElectricityTouchVibrationelectroadhesionhapticsmultiscale contact mechanicsskin frictiontouchscreens

Identifiers

PMID30482858
PMCPMC6294909
OpenAlexW2903226446

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.