Evidence map›Paper›PMID 34765101›Full record

ArticleWorld Haptics Conference. World Haptics Conference2019

Roles of Force Cues and Proprioceptive Joint Angles in Active Exploration of Compliant Objects.

Chang Xu, Steven C Hauser, Yuxiang Wang, Gregory J Gerling

Open access · greenAbstract read
In one paragraph

Article in World Haptics Conference. World Haptics Conference, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Time-dependent Cues Encode the Minimum Exploration Time in Discriminating Naturalistic Compliances.IEEE Haptics Symposium : [proceedings]. IEEE Haptics Symposium · 2020
    Article
  4. Article
  5. 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 1 institution in 1 country.

Chang XuSchool of Engineering and Applied Science, University of Virginia, Charlottesville, VA 22904 USA.
Steven C HauserSchool of Engineering and Applied Science, University of Virginia, Charlottesville, VA 22904 USA.
Yuxiang WangSchool of Engineering and Applied Science, University of Virginia, Charlottesville, VA 22904 USA.
Gregory J GerlingSchool of Engineering and Applied Science, University of Virginia, Charlottesville, VA 22904 USA.
University of Virginia · US

Funding

CRCNS: Neural Representations of Object Compliance in the Periphery R01NS105241 · NINDS · UNIVERSITY OF VIRGINIA · PI GERLING, GREGORY JOHN, LUMPKIN, ELLEN A · 2017 to 2019
$990k
NINDS NIH HHS R01 NS105241
6 · The paper itself

Abstract

We employ distinct exploratory procedures to improve our perceptual judgments of an object's properties. For instance, with respect to compliance, we exert pressure against a resisting force. The present work investigates ties between strategies for active control of the finger and resultant cues by which compliances may be discriminated. In particular, we employ elastic spheres that co-vary in compliance and radius, as these generate non-differentiable contact areas and are discriminable only in active touch with proprioceptive inputs. During human-subjects psychophysical experiments, we measure touch force, fingertip displacement, and joint kinematics. Two active touch paradigms are used, with and without a force constraint. First, in behaviorally-controlled situations that make force cues non-useful, the results indicate that participants can employ a force-matching strategy between the compliant objects and rely upon displacement-related cues to differentiate them. We show these cues are directly tied to a proprioception mechanism, specifically, the angle of the MCP joint. However, in the fully active paradigm, participants control displacements instead and discriminate via force-related cues. Similar to prior findings in passive touch, we find that force-related cues, likewise, are used in active touch for the optimal and efficient discrimination of compliant objects.

Identifiers

PMID34765101
PMCPMC8580133
OpenAlexW2970403130

What OpenQuestion holds

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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.