Evidence map›Paper›PMID 37514710›Full record

SynthesisSensors (Basel, Switzerland)2023

Industry 5 and the Human in Human-Centric Manufacturing.

Kendra Briken, Jed Moore, Dora Scholarios, Emily Rose, Andrew Sherlock

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2023. 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
7.0field-weighted citation impact, top 3% of its field
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, 27 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Kendra BrikenDepartment of Work, Employment and Organisation, Strathclyde Business School, University of Strathclyde, Glasgow G4 0QU, UK.ORCID 0000-0002-6120-2840
Jed MooreDepartment of Work, Employment and Organisation, Strathclyde Business School, University of Strathclyde, Glasgow G4 0QU, UK.ORCID 0009-0006-8495-8532
Dora ScholariosDepartment of Work, Employment and Organisation, Strathclyde Business School, University of Strathclyde, Glasgow G4 0QU, UK.ORCID 0000-0002-3962-3016
Emily RoseLaw School, University of Strathclyde, Glasgow G4 0LT, UK.
Andrew SherlockNational Manufacturing Institute Scotland, Renfrew PA3 2EF, UK.
University of Strathclyde · GB

Funding

UK Research and Innovation AH/W007746/1
6 · The paper itself

Abstract

Industry 4 (I4) was a revolutionary new stage for technological progress in manufacturing which promised a new level of interconnectedness between a diverse range of technologies. Sensors, as a point technology, play an important role in these developments, facilitating human-machine interaction and enabling data collection for system-level technologies. Concerns for human labour working in I4 environments (e.g., health and safety, data generation and extraction) are acknowledged by Industry 5 (I5), an update of I4 which promises greater attention to human-machine relations through a values-driven approach to collaboration and co-design. This article explores how engineering experts integrate values promoted by policy-makers into both their thinking about the human in their work and in their writing. This paper demonstrates a novel interdisciplinary approach in which an awareness of different disciplinary epistemic values associated with humans and work guides a systematic literature review and interpretive coding of practice-focussed engineering papers. Findings demonstrate evidence of an I5 human-centric approach: a high value for employees as "end-users" of innovative systems in manufacturing; and an increase in output addressing human activity in modelling and the technologies available to address this concern. However, epistemic publishing practices show that efforts to increase the effectiveness of manufacturing systems often neglect worker voice.

Indexed as

CommerceIndustryEngineeringEnvironmentHumansTechnologyhuman-centric manufacturing systemshuman–robot collaborationIndustry 5interdisciplinaritywarehousing

Identifiers

PMID37514710
PMCPMC10386219
OpenAlexW4384526089

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.