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A New Era in Human Factors Engineering: A Survey of the Applications and Prospects of Large Multimodal Models

  • Fan Li
  • , Su Han
  • , Ching Hung Lee
  • , Shanshan Feng
  • , Zhuoxuan Jiang
  • , Zhu Sun

Research output: Journal article publicationReview articleAcademic researchpeer-review

Abstract

In recent years, the potential applications of Large Multimodal Models (LMMs) in fields, such as healthcare, social psychology, and industrial design have attracted wide research attention, providing new directions for human factors research. For instance, LMM-based smart systems have become novel research subjects of human factors studies, and LMM introduces new research paradigms and methodologies to this field. Therefore, this article aims to explore the applications, challenges, and future prospects of LMM in the domain of human factors and ergonomics through an expert-LMM collaborated literature and patent review. Specifically, this article proposes a novel review method and introduces research studies and patents related to LMM-based accident analysis, human modeling, and intervention design. Subsequently, the article discusses future trends in research paradigm and challenges of human factors and ergonomics studies in the era of LMMs. It is expected that the review results offer valuable insights and serve as a reference for using LMMs in human factors research.

Original languageEnglish
Pages (from-to)11867-11880
Number of pages14
JournalInternational Journal of Human-Computer Interaction
Volume41
Issue number18
DOIs
Publication statusPublished - Jan 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • human factors
  • Large multimodal model

ASJC Scopus subject areas

  • Human Factors and Ergonomics
  • Human-Computer Interaction
  • Computer Science Applications

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