Evidence map›Paper›PMID 31437192›Full record

ArticlePloS one2019

Feedback delays can enhance anticipatory synchronization in human-machine interaction.

Auriel Washburn, Rachel W Kallen, Maurice Lamb, Nigel Stepp, Kevin Shockley, Michael J Richardson

Abstract read
In one paragraph

Article in PloS one, 2019. 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
–field-weighted citation impact
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.

  1. Article
  2. Interactional synchrony: signals, mechanisms and benefits.Social cognitive and affective neuroscience · 2021
    Review
  3. 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

6 authors.

Auriel WashburnCenter for Computer Research in Music and Acoustics, Department of Music, Stanford University, Stanford, CA, United States of America.ORCID 0000-0002-1163-9454
Rachel W KallenDepartment of Psychology, Center for Elite Performance, Expertise and Training, and Perception in Action Research Center, Macquarie University, Sydney, NSW, Australia.
Maurice LambCenter for Cognition, Action and Perception, Department of Psychology, University of Cincinnati, Cincinnati, OH, United States of America.
Nigel SteppHRL Laboratories, LLC, Malibu, CA, United States of America.ORCID 0000-0003-1539-6397
Kevin ShockleyCenter for Cognition, Action and Perception, Department of Psychology, University of Cincinnati, Cincinnati, OH, United States of America.
Michael J RichardsonDepartment of Psychology, Center for Elite Performance, Expertise and Training, and Perception in Action Research Center, Macquarie University, Sydney, NSW, Australia.

Funding

Modeling the Behavioral Dynamics of Social Action and CoordinationR01GM105045 · NIGMS · UNIVERSITY OF CINCINNATI · PI SCHMIDT, RICHARD C, SHOCKLEY, KEVIN · 2013 to 2017
$1.5M
NIGMS NIH HHS R01 GM105045
6 · The paper itself

Abstract

Research investigating the dynamics of coupled physical systems has demonstrated that small feedback delays can allow a dynamic response system to anticipate chaotic behavior. This counterintuitive phenomenon, termed anticipatory synchronization, has been observed in coupled electrical circuits, laser semi-conductors, and artificial neurons. Recent research indicates that the same process might also support the ability of humans to anticipate the occurrence of chaotic behavior in other individuals. Motivated by this latter work, the current study examined whether the process of feedback delay induced anticipatory synchronization could be employed to develop an interactive artificial agent capable of anticipating chaotic human movement. Results revealed that incorporating such delays within the movement-control dynamics of an artificial agent not only enhances an artificial agent's ability to anticipate chaotic human behavior, but to synchronize with such behavior in a manner similar to natural human-human anticipatory synchronization. The implication of these findings for the development of human-machine interaction systems is discussed.

Indexed as

Anticipation, PsychologicalArtificial IntelligenceFeedback, PsychologicalAdolescentAdultFemaleHumansImpulsive BehaviorMaleMovementNonlinear DynamicsReaction TimeRoboticsStochastic ProcessesVirtual Reality

Identifiers

PMID31437192
PMCPMC6705796

What OpenQuestion holds

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LicenceCC BY
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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.