Evidence map›Paper›PMID 41666840›Full record

ArticleApplied ergonomics2026

Perceived safety during human-robot interaction with an autonomous mobile robot.

Justin M Haney, Douglas Ammons, HeeSun Choi

Abstract read
In one paragraph

Article in Applied ergonomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Justin M HaneyNational Institute for Occupational Safety and Health, Morgantown, WV, USA. Electronic address: haneyjm@umich.edu.
Douglas AmmonsNational Institute for Occupational Safety and Health, Morgantown, WV, USA. Electronic address: DAmmons@cdc.gov.
HeeSun ChoiTexas Tech University, Lubbock, TX, USA. Electronic address: HeeSun.Choi@ttu.edu.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Autonomous mobile robots (AMRs) are being rapidly implemented in the manufacturing and warehousing industries. Research could help enhance our understanding of human workers' safety perceptions and behaviors when interacting with AMRs, enabling the improvement of collision-avoidance strategies and criteria for safer interactions. In this study, we examined the effects of AMR shelf height, movement speed, and trajectory path on perceived safety, mental workload, robot trust, proxemic behaviors, and task performance during a simulated loading/unloading task. Overall, AMR speed and trajectory path had the largest impact on the task outcomes, while there was minimal variation across height conditions. Findings from this research can be considered for the design of AMRs and facilities that utilize them.

Indexed as

Man-Machine SystemsRoboticsSafetyAdultAutonomous RobotsFemaleHumansMaleTask Performance and AnalysisTrustWorkloadYoung AdultHuman-robot interactionMobile robotSafetyTrust

Identifiers

PMID41666840
PMCPMC13077582

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.