Evidence map›Paper›PMID 40485770›Full record

ReviewFrontiers in robotics and AI2025

Neurotechnology for enhancing human operation of robotic and semi-autonomous systems.

William J Tyler, Anusha Adavikottu, Christian Lopez Blanco, Archana Mysore, Christopher Blais, Marco Santello, Avinash Unnikrishnan

Abstract readReview
In one paragraph

Review in Frontiers in robotics and AI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

7 authors.

William J TylerDepartment of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL, United States.
Anusha AdavikottuDepartment of Civil, Construction, and Environmental Engineering, Birmingham, AL, United States.
Christian Lopez BlancoCenter for Neuroengineering and Brain Computer Interfaces, Birmingham, AL, United States.
Archana MysoreCenter for Neuroengineering and Brain Computer Interfaces, Birmingham, AL, United States.
Christopher BlaisSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AL, United States.
Marco SantelloSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, AL, United States.
Avinash UnnikrishnanDepartment of Civil, Construction, and Environmental Engineering, Birmingham, AL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human operators of remote and semi-autonomous systems must have a high level of executive function to safely and efficiently conduct operations. These operators face unique cognitive challenges when monitoring and controlling robotic machines, such as vehicles, drones, and construction equipment. The development of safe and experienced human operators of remote machines requires structured training and credentialing programs. This review critically evaluates the potential for incorporating neurotechnology into remote systems operator training and work to enhance human-machine interactions, performance, and safety. Recent evidence demonstrating that different noninvasive neuromodulation and neurofeedback methods can improve critical executive functions such as attention, learning, memory, and cognitive control is reviewed. We further describe how these approaches can be used to improve training outcomes, as well as teleoperator vigilance and decision-making. We also describe how neuromodulation can help remote operators during complex or high-risk tasks by mitigating impulsive decision-making and cognitive errors. While our review advocates for incorporating neurotechnology into remote operator training programs, continued research is required to evaluate the how these approaches will impact industrial safety and workforce readiness.

Indexed as

attentionBCIcognitionhuman-machineneuromodulationneurotechnologyteleoperations

Identifiers

PMID40485770
PMCPMC12141011

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.