Evidence map›Paper›PMID 33897401›Full record

ArticleFrontiers in neurorobotics2021

Embodied Cooperation to Promote Forgiving Interactions With Autonomous Machines.

Jonathon S Schofield, Marcus A Battraw, Adam S R Parker, Patrick M Pilarski, Jonathon W Sensinger, Paul D Marasco

Abstract read
In one paragraph

Article in Frontiers in neurorobotics, 2021. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  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

6 authors.

Jonathon S SchofieldDepartment of Mechanical and Aerospace Engineering, University of California, Davis, Davis, CA, United States.
Marcus A BattrawDepartment of Mechanical and Aerospace Engineering, University of California, Davis, Davis, CA, United States.
Adam S R ParkerDepartment of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada.
Patrick M PilarskiDepartment of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada.
Jonathon W SensingerDepartment of Electrical and Computer Engineering, Institute of Biomedical Engineering, University of New Brunswick, Fredericton, NB, Canada.
Paul D MarascoDepartment of Biomedical Engineering, Lerner Research Institute-Cleveland Clinic, Cleveland, OH, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During every waking moment, we must engage with our environments, the people around us, the tools we use, and even our own bodies to perform actions and achieve our intentions. There is a spectrum of control that we have over our surroundings that spans the extremes from full to negligible. When the outcomes of our actions do not align with our goals, we have a tremendous capacity to displace blame and frustration on external factors while forgiving ourselves. This is especially true when we cooperate with machines; they are rarely afforded the level of forgiveness we provide our bodies and often bear much of our blame. Yet, our brain readily engages with autonomous processes in controlling our bodies to coordinate complex patterns of muscle contractions, make postural adjustments, adapt to external perturbations, among many others. This acceptance of biological autonomy may provide avenues to promote more forgiving human-machine partnerships. In this perspectives paper, we argue that striving for machine embodiment is a pathway to achieving effective and forgiving human-machine relationships. We discuss the mechanisms that help us identify ourselves and our bodies as separate from our environments and we describe their roles in achieving embodied cooperation. Using a representative selection of examples in neurally interfaced prosthetic limbs and intelligent mechatronics, we describe techniques to engage these same mechanisms when designing autonomous systems and their potential bidirectional interfaces.

Indexed as

autonomous machinebidirectional interfacecooperationembodimenthuman–machine interactionperception

Identifiers

PMID33897401
PMCPMC8062797

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.