Train users in task techniques or ergonomic principles.
Work task
“Train users in task techniques or ergonomic principles.” is a core task performed by Human Factors Engineers and Ergonomists. Among the occupation's 26 rated tasks, workers place it 12th by importance (#15 most important). About 95% of workers say it is relevant to their job.
This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.
Work activities this task rolls up to
O*NET groups concrete tasks into broader work activities shared across many occupations.
AI exposure
The OpenAI / Eloundou “GPTs are GPTs” study rates this task E0. No direct exposure — current language models give little or no time savings on this task.
Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.00. Automation potential label: T1.
Other tasks in this occupation
- Collect data through direct observation of work activities or witnessing the conduct of tests. · importance 4.7
- Conduct interviews or surveys of users or customers to collect information on topics, such as requirements, needs, fatigue, ergonomics, or interfaces. · importance 4.5
- Advocate for end users in collaboration with other professionals, including engineers, designers, managers, or customers. · importance 4.5
- Inspect work sites to identify physical hazards. · importance 4.5
- Prepare reports or presentations summarizing results or conclusions of human factors engineering or ergonomics activities, such as testing, investigation, or validation. · importance 4.4
- Recommend workplace changes to improve health and safety, using knowledge of potentially harmful factors, such as heavy loads or repetitive motions. · importance 4.4
- Perform functional, task, or anthropometric analysis, using tools, such as checklists, surveys, videotaping, or force measurement. · importance 4.3
- Provide technical support to clients through activities, such as rearranging workplace fixtures to reduce physical hazards or discomfort or modifying task sequences to reduce cycle time. · importance 4.3
- Assess the user-interface or usability characteristics of products. · importance 4.3
- Establish system operating or training requirements to ensure optimized human-machine interfaces. · importance 4.2
- Integrate human factors requirements into operational hardware. · importance 4.2
- Review health, safety, accident, or worker compensation records to evaluate safety program effectiveness or to identify jobs with high incidence of injury. · importance 4.2
- Design or evaluate human work systems, using human factors engineering and ergonomic principles to optimize usability, cost, quality, safety, or performance. · importance 4.2
- Write, review, or comment on documents, such as proposals, test plans, or procedures. · importance 4.2
See all tasks on the Human Factors Engineers and Ergonomists page.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Train users in task techniques or ergonomic principles.." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/tasks/task-16373
Singulariki. (2026). Train users in task techniques or ergonomic principles.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tasks/task-16373
@misc{singulariki-task-16373,
title = {Train users in task techniques or ergonomic principles.},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/tasks/task-16373}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.