Evidence map›Paper›PMID 38466880›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

SORI: A softness-rendering interface to unravel the nature of softness perception.

Mustafa Mete, Haewon Jeong, Wei Dawid Wang, Jamie Paik

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
7.9field-weighted citation impact, top 2% 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

3 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. SORI: A softness-rendering interface to unravel the nature of softness perception.Proceedings of the National Academy of Sciences of the United States of America · 2024
    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

4 authors at 2 institutions in 2 countries.

Mustafa Mete *Reconfigurable Robotics Laboratory, Institute of Mechanical Engineering, School of Engineering, École Polytechnique Fédérale de Lausanne, Lausanne CH 1005, Switzerland.ORCID 0000-0002-2665-1966
Haewon Jeong *Soft Robotics Laboratory, Department of Mechanical Engineering, College of Engineering, Hanyang University, Seoul 04763, Republic of Korea.ORCID 0000-0002-9587-1321
Wei Dawid WangSoft Robotics Laboratory, Department of Mechanical Engineering, College of Engineering, Hanyang University, Seoul 04763, Republic of Korea.ORCID 0000-0003-0416-390X
Jamie PaikReconfigurable Robotics Laboratory, Institute of Mechanical Engineering, School of Engineering, École Polytechnique Fédérale de Lausanne, Lausanne CH 1005, Switzerland.ORCID 0000-0003-3869-213X
École Polytechnique Fédérale de Lausanne · CHHanyang University · KR

Funding

Ministry of Trade, Industry and Energy (MOTIE) P0017306National Centre of Competence in Research Robotics (NCCR Robotics) 565522
6 · The paper itself

Abstract

Tactile perception of softness serves a critical role in the survival, well-being, and social interaction among various species, including humans. This perception informs activities from food selection in animals to medical palpation for disease detection in humans. Despite its fundamental importance, a comprehensive understanding of how softness is neurologically and cognitively processed remains elusive. Previous research has demonstrated that the somatosensory system leverages both cutaneous and kinesthetic cues for the sensation of softness. Factors such as contact area, depth, and force play a particularly critical role in sensations experienced at the fingertips. Yet, existing haptic technologies designed to explore this phenomenon are limited, as they often couple force and contact area, failing to provide a real-world experience of softness perception. Our research introduces the softness-rendering interface (SORI), a haptic softness display designed to bridge this knowledge gap. Unlike its predecessors, SORI has the unique ability to decouple contact area and force, thereby allowing for a quantitative representation of softness sensations at the fingertips. Furthermore, SORI incorporates individual physical fingertip properties and model-based softness cue estimation and mapping to provide a highly personalized experience. Utilizing this method, SORI quantitatively replicates the sensation of softness on stationary, dynamic, homogeneous, and heterogeneous surfaces. We demonstrate that SORI accurately renders the surfaces of both virtual and daily objects, thereby presenting opportunities across a range of fields, from teleoperation to medical technology. Finally, our proposed method and SORI will expedite psychological and neuroscience research to unlock the nature of softness perception.

Indexed as

Touch PerceptionCuesFingersHumansSkinTouchUser-Computer Interfacedisplayhapticsperceptionsoftnesstactile

Identifiers

PMID38466880
PMCPMC10990105
OpenAlexW4392638463

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.