Evidence map›Paper›PMID 35199188›Full record

ArticleExperimental brain research2022

Homing tasks and distance matching tasks reveal different types of perceptual variables associated with perceiving self-motion during over-ground locomotion.

Steven J Harrison, Nicholas Reynolds, Brandon Bishoff, Nicholas Stergiou, Eliah White

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Article in Experimental brain research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

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2citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. A systematic review of human odometry.Psychological research · 2024
    Pooled it
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Steven J HarrisonDepartment of Kinesiology, University of Connecticut, Storrs, CT, 06269, USA. steven.john.harrison@gmail.com.ORCID http://orcid.org/0000-0001-7819-5993
Nicholas ReynoldsDepartment of Biomechanics, University of Nebraska at Omaha, Omaha, USA.
Brandon BishoffDepartment of Biomechanics, University of Nebraska at Omaha, Omaha, USA.
Nicholas StergiouDepartment of Biomechanics, University of Nebraska at Omaha, Omaha, USA.
Eliah WhiteDepartment of Psychological Science, Northern Kentucky University, Highland Heights, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Self-motion perception refers to the ability to perceive how the body is moving through the environment. Perception of self-motion has been shown to depend upon the locomotor action patterns used to move the body through the environment. Two separate lines of enquiry have led to the establishment of two distinct theories regarding this effect. One theory has proposed that distances travelled during locomotion are perceived via higher order perceptual variables detected by the haptic perceptual system. This theory proposes that two higher order haptic perceptual variables exist, and that the implication of one of these variables depends upon the type of gait pattern that is used. A second theory proposes that self-motion is perceived via a higher order perceptual variable termed multimodally specified energy expenditure (MSEE). This theory proposes that the effect of locomotor actions patterns upon self-motion perception is related to changes in the metabolic cost of locomotion per unit of perceptually specified traversed distance. Here, we test the hypothesis that the development of these distinct theories is the result of different choices in methodology. The theory of gait type has been developed based largely on the results of homing tasks, whereas the effect of MSEE has been developed based on the results of distance matching tasks. Here we test the hypothesis that the seemly innocuous change in experimental design from using a homing task to using a distance matching task changes the type of perceptual variables implicated in self-motion perception. To test this hypothesis, we closely replicated a recent study of the effect of gait type in all details bar one-we investigated a distance matching task rather than a homing task. As hypothesized, this change yielded results consistent with the predictions of MSEE, and distinct from gait type. We further show that, unlike the effect of gait type, the effect of MSEE is unaffected by the availability of vision. In sum, our findings support the existence of two distinct types of higher order perceptual variables in self-motion perception. We discuss the roles of these two types of perceptual variables in supporting effective human wayfinding.

Indexed as

LocomotionMotion PerceptionEnergy MetabolismGaitHumansVision, OcularDistance perceptionHaptic perceptual systemHomingOdometrySelf-motionVisual perceptual system

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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.