Evidence map›Paper›PMID 36002628›Full record

ArticleBehavior research methods2023

Methodological considerations for the force-matching task.

David McNaughton, Rhys Hope, Emily Gray, Freya Xavier, Alissa Beath, Michael Jones

Open access · hybridAbstract read
In one paragraph

Article in Behavior research methods, 2023. 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
0.9field-weighted citation impact, top 28% 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, 8 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

David McNaughtonSchool of Psychological Sciences, Macquarie University, Balaclava Road, Sydney, Australia. david.mcnaughton@mq.edu.au.ORCID 0000-0001-5842-877X
Rhys HopeSchool of Psychological Sciences, Macquarie University, Balaclava Road, Sydney, Australia.
Emily GraySchool of Psychological Sciences, Macquarie University, Balaclava Road, Sydney, Australia.
Freya XavierSchool of Psychological Sciences, Macquarie University, Balaclava Road, Sydney, Australia.
Alissa BeathSchool of Psychological Sciences, Macquarie University, Balaclava Road, Sydney, Australia.
Michael JonesSchool of Psychological Sciences, Macquarie University, Balaclava Road, Sydney, Australia.
Macquarie University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The force-matching task integrates haptic technology and electrical engineering to determine an individual's level of sensory attenuation to somatic stimuli. The task requires a detailed methodology to facilitate reliable and replicable estimates, and there has been a distinct lack of re-evaluation of the methodological processes related to this paradigm. In this task, participants are asked to match a force delivered to their finger, either by pressing directly on their own finger with their other hand (known as the direct condition) or by controlling the device using an external potentiometer to control the force indirectly through a torque motor (known as the slider condition). We analysed 138 participants to determine 1) the optimal number of replications (2, 4, 6, or 8 replications) of the target force, 2) the optimal time window (1-1.5 s, 1.5-2 s, 2-2.5 s and 2.5-3 s) to extract the estimate of sensory attenuation, 3) if participants' performance during the task improved, worsened or was stable across the experimental period regardless of condition, and 4) if learning effects were related to psychological traits. Results showed that the number of replications of the target forces may be reduced from 8 without compromising the estimate of sensory attenuation, the optimal time window for the extraction of the matched force is 2.5-3 s, the performance is stable over the duration of the experiment and not impacted by the measured psychological traits. In conclusion, we present a number of methodological considerations which improve the efficiency and reliability of the force-matching task. HIGHLIGHTS: • The force-matching task determines an individual's level of sensory attenuation • The optimal number of replications of the target force may be reduced from 8 • The optimal time window to extract the matched force is 2.5-3.0 s • The estimate of sensory attenuation is stable across the duration of the task.

Indexed as

FingersTime PerceptionHandHumansPsychomotor PerformanceReproducibility of ResultsForce-matchingMethodologyPerceptionSensorimotorSensory attenuation

Identifiers

PMID36002628
PMCPMC10556179
OpenAlexW4293105228

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.