Comprehensive systematic review into combinations of artificial intelligence, human factors, and automation

TL;DR

This systematic review analyzes how AI integration in automation considers human factors across physical, cognitive, and organizational ergonomics, highlighting key application areas like transportation and human-machine interaction.

Contribution

It provides a comprehensive classification of AI applications in automation based on human factors, derived from 40 selected studies out of 422 articles.

Findings

AI applications in physical ergonomics include transportation and human-machine interactions.

AI in cognitive ergonomics focuses on user experience and human factors.

The review categorizes AI-human factors integration into physical, cognitive, and organizational ergonomics.

Abstract

Artificial intelligence (AI)-based models used to improve different fields including healthcare, and finance. One of the field that receive advantages of AI is automation. However, it is important to consider human factors in application of AI in automation. This paper reports on a systematic review of the published studies used to investigate the application of AI in PM. This comprehensive systematic review used ScienceDirect to identify relevant articles. Of the 422 articles found, 40 met the inclusion and exclusion criteria and were used in the review. Selected articles were classified based on categories of human factors and areas of application. The results indicated that application of AI in automation with respect to human factors could be divided into three areas of physical ergonomics, cognitive ergonomic and organizational ergonomics. The main areas of application in physical and cognitive ergonomics are including transportation, User experience, and human-machine interactions.