Human Factors Engineers and Ergonomists

Some tasks in human factors are seeing help from AI, but many still need a person. For example, researchers have built systems that use video cameras and AI to watch how workers lift or move and then score the posture for safety ^[1]. This can partly automate the “collect data by observation” task.

Similarly, studies have shown software that can automatically generate safe workstation layouts and check ergonomics using simulations (with a human in the loop) ^[2]. In practice, though, many core tasks remain hands-on. O*NET (the U.S. job database) lists “inspect work sites for physical hazards” and “train users in ergonomic techniques” as key duties ^{[3] [3]} – jobs that today require human judgment and teaching.

Ergonomists also already use programs like SPSS or MATLAB for data analysis ^[3], so AI might speed up calculations but people still interpret the results. Overall, experts note that current AI tools in ergonomics are used to make work more efficient and human-friendly ^[4]. In other words, AI tends to assist these roles rather than fully replace the human specialist.

Companies may adopt AI tools in human factors for good reasons: modern industry (the “Industry 5.0” approach) is pushing to combine smart technology with worker well-being ^[1]. Cheap cameras and sensors mean it can be low-cost to try AI monitoring ^[1]. Also, reducing injuries or improving design could save money, so some firms will experiment with AI.

But adoption is likely slow and careful. Designing ergonomics often “depends on the experience of the designer” and many safety rules ^[2], so it’s not easy to hand off all decisions to a machine. In fact, this job field is growing (O*NET calls it a “Bright Outlook” career ^[3]), meaning firms may hire more experts rather than cut staff.

Finally, because these tasks affect people’s health and comfort, companies and regulators will move cautiously – they need to trust new tools. In the end, AI is likely to be used as a helpful assistant for human factors engineers (for example, flagging risky postures or running simulations) while the unique human skills of observation, teaching, and problem-solving remain central to the job.