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Linguistic Ergonomics & Micro-Communication in Human-AI Workspaces: Rethinking English for Specific Purposes in Industry 5.0
Subject area: Arts, Social Sciences and Humanities · Area of research: ELT
Abstract
As industrial environments transition from automated manufacturing to collaborative, human-centric paradigms (Industry 5.0), the nature of workplace communication is undergoing a structural shift. Human professionals increasingly interact not only with peer personnel but directly with autonomous systems, collaborative robots (cobots), and localized Artificial Intelligence (AI) agents. Traditional English for Specific Purposes (ESP) frameworks prioritize human-to-human corporate discourse—such as negotiations, business correspondence, and formal presentations. However, these frameworks fall short in addressing the micro-linguistic requirements of human-AI collaboration. This paper introduces the paradigm of Linguistic Ergonomics, defined as the optimization of language structures to reduce cognitive friction, eliminate ambiguity, and maximize operational efficiency in human-machine interfaces. By examining the mechanics of Micro-Communication—concise, highly structured, low-ambiguity English prompts and directives—this article outlines the emerging communicative demands placed on technical professionals. The study identifies critical research gaps in current English Language Teaching (ELT) methodologies, formulates a comprehensive problem statement, establishes the operational scope for curriculum redesign, and provides a theoretical roadmap for integrating prompt ergonomics into 21st-century ESP pedagogy.
Keywords
Linguistic Ergonomics, Micro-Communication, Human-AI Collaboration, Industry 5.0, English for Specific Purposes (ESP), Technical Communication, Prompt Engineering Pedagogy.
How to cite this paper
@article{1722469,
author = {Bharathikumar S, Kothandan M. S.},
title = {Linguistic Ergonomics & Micro-Communication in Human-AI Workspaces: Rethinking English for Specific Purposes in Industry 5.0},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {10},
number = {2},
pages = {2410-2413},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1722469.pdf},
abstract = {As industrial environments transition from automated manufacturing to collaborative, human-centric paradigms (Industry 5.0), the nature of workplace communication is undergoing a structural shift. Human professionals increasingly interact not only with peer personnel but directly with autonomous systems, collaborative robots (cobots), and localized Artificial Intelligence (AI) agents. Traditional English for Specific Purposes (ESP) frameworks prioritize human-to-human corporate discourse—such as negotiations, business correspondence, and formal presentations. However, these frameworks fall short in addressing the micro-linguistic requirements of human-AI collaboration. This paper introduces the paradigm of Linguistic Ergonomics, defined as the optimization of language structures to reduce cognitive friction, eliminate ambiguity, and maximize operational efficiency in human-machine interfaces. By examining the mechanics of Micro-Communication—concise, highly structured, low-ambiguity English prompts and directives—this article outlines the emerging communicative demands placed on technical professionals. The study identifies critical research gaps in current English Language Teaching (ELT) methodologies, formulates a comprehensive problem statement, establishes the operational scope for curriculum redesign, and provides a theoretical roadmap for integrating prompt ergonomics into 21st-century ESP pedagogy.},
keywords = {Linguistic Ergonomics, Micro-Communication, Human-AI Collaboration, Industry 5.0, English for Specific Purposes (ESP), Technical Communication, Prompt Engineering Pedagogy.},
month = {August},
}