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arxiv: 2605.22461 · v1 · pith:EO43Q7N7new · submitted 2026-05-21 · 💻 cs.HC

Perceived Safety of Workers in Encounters with Large Industrial AGVs

Pith reviewed 2026-05-22 04:04 UTC · model grok-4.3

classification 💻 cs.HC
keywords AGVperceived safetyvirtual realityindustrial workershuman-robot interactioncollision avoidancefactory automation
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The pith

Industrial workers perceive slightly higher threat from large AGVs in VR but prefer 1.5 to 2 meter passing distances in both real and virtual settings.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

This paper studies how real industrial workers experience safety around large automated guided vehicles during close passes in actual factory settings and in virtual reality simulations. The researchers tested different passing distances and avoidance maneuver shapes, measuring perceived threat with a pressure-sensitive trigger held by participants and follow-up questionnaires. They discovered that while virtual reality made the encounters feel a bit more threatening overall, workers consistently chose or preferred passing distances of 1.5 to 2 meters across both conditions and when setting their own paths. This work addresses gaps in prior research by focusing on large-payload vehicles and actual professionals instead of students, helping to inform the design of comfortable shared workspaces with autonomous machinery.

Core claim

In a within-subject study with industrial workers, threat levels were perceived overall slightly higher in VR, yet the passing distance of 1.5 to 2 meters was preferred among the demonstrated profiles as well as in the self-defined trajectories.

What carries the argument

Within-subject study comparing real-world and VR encounters using a handheld pressure-sensitive trigger for threat measurement and post-experiment questionnaires, with participants also defining their own collision avoidance trajectories.

If this is right

  • AGV navigation systems can use 1.5 to 2 meter passing distances as a baseline for worker comfort in shared factory spaces.
  • Virtual reality serves as a useful but imperfect proxy for real safety perception studies, with a slight overestimation of threat.
  • Future designs should incorporate input from actual industrial workers rather than relying solely on student participants.
  • Self-defined avoidance parameters based on demonstrated profiles can help tailor AGV behavior to individual preferences.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Physiological monitoring could be tested alongside the trigger method to validate threat measurements in both environments.
  • The preference for specific distances might inform updates to safety standards for AGV operations near humans.
  • Similar studies could explore other factors like AGV speed or payload size to build a fuller picture of perceived safety.

Load-bearing premise

The handheld pressure-sensitive trigger and post-experiment questionnaire provide a valid and comparable measure of perceived threat across real-world and VR conditions.

What would settle it

Conducting the same study but using heart rate variability or other biometric sensors to measure threat, and finding that threat levels are not higher in VR or that preferred distances differ substantially.

Figures

Figures reproduced from arXiv: 2605.22461 by Achim J. Lilienthal, Andrey Rudenko, Ansgar Howey, Tim Schreiter.

Figure 1
Figure 1. Figure 1: Participants interacting with an AGV: (a) real-world en [PITH_FULL_IMAGE:figures/full_fig_p001_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Three AGV trajectory profiles (aggressive, medium and calm) around the static participant, positioned at 12.5 m. Circles around [PITH_FULL_IMAGE:figures/full_fig_p002_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Evolution of the perceived threat levels with proximity to the AGV along the three trajectory profiles, recorded using continuous [PITH_FULL_IMAGE:figures/full_fig_p004_3.png] view at source ↗
Figure 5
Figure 5. Figure 5: Preferred collision avoidance profiles of participants in VR. [PITH_FULL_IMAGE:figures/full_fig_p004_5.png] view at source ↗
read the original abstract

Automated Guided Vehicles (AGV) in factory automation are increasingly capable of moving autonomously in close proximity to human workers. While their physical safety is regulated by standards and directives, perceived safety and workers comfort in close-proximity interactions are being actively investigated in studies. There are three limitations in the prior art research to that end. Firstly, AGVs with larger payloads are understudied. Secondly, the test participants are usually students and not working professionals. Thirdly, while conducting in-person experiments with heavy machinery can be dangerous, the transfer of safety perception results from simulated experiments remains open. In this paper, we investigate industrial workers perceived safety in shared spaces with large AGVs in a real-world encounter and in virtual reality. We vary the passing distance and the shape of the collision avoidance maneuver, and evaluate perceived threat level using a handheld pressure-sensitive trigger interface and a post-experiment questionnaire. Additionally, we ask participants to set their own collision avoidance parameters based on their experience with the demonstrated trajectory profiles. In a within-subject study, we found that, while the threat levels are perceived overall slightly higher in VR, the passing distance of 1.5 to 2 meters is preferred among the demonstrated profiles, as well as in the self-defined trajectories.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 2 minor

Summary. The manuscript reports a within-subject study with industrial workers comparing perceived threat levels in encounters with large industrial AGVs under real-world and VR conditions. Passing distance and collision-avoidance maneuver shape are varied; threat is measured via a handheld pressure-sensitive trigger (continuous) and a post-experiment questionnaire. The central findings are that threat is perceived overall slightly higher in VR, yet the 1.5–2 m passing distance is preferred both among the demonstrated profiles and in participants’ self-defined trajectories.

Significance. If the cross-condition measurement equivalence holds, the work supplies useful empirical data on perceived safety for professional operators rather than students and for large-payload AGVs, two under-studied areas. The inclusion of self-defined trajectories and the dual real/VR design are practical strengths that could inform industrial safety standards and HRI interface design.

major comments (1)
  1. [evaluation method] Evaluation method (abstract and method description): The central comparative claim—that threat levels are “overall slightly higher in VR”—rests on the untested assumption that the pressure-sensitive trigger and questionnaire produce interval-scale, cross-condition equivalent scores. The real-world condition introduces genuine collision risk, vestibular/auditory differences, and possible demand characteristics absent in VR. No calibration, concurrent validity against an established scale, or measurement-invariance tests are reported, so the observed delta cannot be isolated from instrument artifacts.
minor comments (2)
  1. [abstract] Abstract: sample size, statistical tests, and any error bars or confidence intervals are omitted, preventing readers from gauging the reliability of the “slightly higher” difference.
  2. [abstract] Abstract, first sentence of results: “industrial workers perceived safety” should read “industrial workers’ perceived safety.”

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the constructive and detailed feedback on our manuscript. We address the major comment regarding the evaluation method below, acknowledging the valid concerns about cross-condition measurement equivalence while defending the robustness of our primary findings on preferred passing distances.

read point-by-point responses
  1. Referee: [evaluation method] Evaluation method (abstract and method description): The central comparative claim—that threat levels are “overall slightly higher in VR”—rests on the untested assumption that the pressure-sensitive trigger and questionnaire produce interval-scale, cross-condition equivalent scores. The real-world condition introduces genuine collision risk, vestibular/auditory differences, and possible demand characteristics absent in VR. No calibration, concurrent validity against an established scale, or measurement-invariance tests are reported, so the observed delta cannot be isolated from instrument artifacts.

    Authors: We agree that the 'slightly higher in VR' observation must be interpreted with caution, as the referee correctly identifies potential differences in sensory feedback, actual risk, and demand characteristics between conditions. The pressure-sensitive trigger was intended as a continuous, low-interference measure of perceived threat, paired with a post-experiment questionnaire for triangulation. No formal calibration or invariance testing was performed. In the revised version we have expanded the Limitations section to explicitly discuss these factors and have qualified the comparative claim as tentative rather than definitive. However, the central practical result—that participants preferred passing distances of 1.5–2 m—does not depend on cross-condition score equivalence; it is supported by consistent patterns in both the demonstrated profiles and the self-defined trajectories collected in each setting. revision: partial

Circularity Check

0 steps flagged

Empirical study reports direct participant data with no derivations or modeling

full rationale

The paper describes a within-subject human-subject experiment that collects perceived threat levels via a handheld pressure-sensitive trigger and post-experiment questionnaires, then reports observed preferences for passing distances and self-defined trajectories. No equations, fitted parameters, predictive models, or derivation chains appear in the provided text. Claims rest on raw participant responses rather than any self-referential construction, self-citation load-bearing premise, or ansatz smuggled through prior work. This is a standard empirical report whose central findings are independent of the circularity patterns enumerated in the analysis criteria.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

This is an empirical human-subjects study; the central claim does not rest on mathematical derivations, fitted parameters, or newly postulated entities.

pith-pipeline@v0.9.0 · 5760 in / 1149 out tokens · 37275 ms · 2026-05-22T04:04:03.328995+00:00 · methodology

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Reference graph

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