Exploring the Effects of Industry 4.0/5.0 on Human Factors: A Preliminary Systematic Literature Review
Bibliographic record
Abstract
Industry 5.0, built on the foundation of Industry 4.0, aims to integrate human capabilities and principles for a sustainable and human-centric industrial paradigm. This article proposes a systematic literature review to explore the empirical effects of Industry 4.0/5.0 (I4.0/5.0) technologies on human factors, emphasizing the often overlooked physical, psychological, and cognitive dimensions. The methodology, adhering to PRISMA guidelines, involved a Scopus search spanning from 2005-2023, ultimately resulting in a selection of 15 articles. The preliminary results depict the studied I4.0/5.0 technologies and their impact on workers’ physical, psychological, and cognitive aspects. Some (I4.0/5.0) technologies received significant attention, such as human-robot communication and human-robot interaction, while others remain understudied. The limited number of papers makes it difficult to compare and generalize the empirical results reported. In this regard, we propose avenues for refining this systematic literature review in future research endeavors.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".