Intelligentizing Human Factors: Human centered AI in the next 10 years

This talk addresses the critical role of human factors and ergonomics (HFE) in the success of AI projects. While AI technologies are advancing rapidly across domains, from healthcare to logistics, over 90% of AI initiatives still fail—largely due to insufficient integration of human-centered principles. The concept of “intelligentizing” HFE refers to embedding AI systems with intuitive, human-aware design that aligns with user expectations, mental models, and cognitive capabilities. Drawing on examples from the South Korean Government Research Initiative, "Intelligentizing Human Factors" , this presentation illustrates how AI performance can match user experiences, privacy concerns, or lack of transparency. Standards such as ISO 9241-210 are emphasized for guiding human-centered AI design. Key concepts like affordance, mental models, and socio-technical systems are explored to stress the importance of seamless human-AI interaction. Finally, successful AI requires more than technical accuracy—it must understand, adapt to, and harmonize with human needs. Intelligent ergonomics bridges this gap, ensuring AI systems are not only powerful but also usable, trustworthy, and socially accepted. As AI becomes ubiquitous, the future of ergonomics lies in co-evolving with intelligent systems to enhance both human performance and system effectiveness.

Authors

Institutions

Publication Details

Journal
The Japanese Journal of Ergonomics
Published
2025-05-21
DOI
https://doi.org/10.5100/jje.61.2b01-04
Primary Topic
Occupational Health and Safety Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Intelligentizing Human Factors: Human centered AI in the next 10 years

Myung Hwan Yun
The Japanese Journal of Ergonomics
Occupational Health and Safety Research
article

Intelligentizing Human Factors: Human centered AI in the next 10 years

Myung Hwan Yun
article en

Abstract

This talk addresses the critical role of human factors and ergonomics (HFE) in the success of AI projects. While AI technologies are advancing rapidly across domains, from healthcare to logistics, over 90% of AI initiatives still fail—largely due to insufficient integration of human-centered principles. The concept of “intelligentizing” HFE refers to embedding AI systems with intuitive, human-aware design that aligns with user expectations, mental models, and cognitive capabilities. Drawing on examples from the South Korean Government Research Initiative, "Intelligentizing Human Factors" , this presentation illustrates how AI performance can match user experiences, privacy concerns, or lack of transparency. Standards such as ISO 9241-210 are emphasized for guiding human-centered AI design. Key concepts like affordance, mental models, and socio-technical systems are explored to stress the importance of seamless human-AI interaction. Finally, successful AI requires more than technical accuracy—it must understand, adapt to, and harmonize with human needs. Intelligent ergonomics bridges this gap, ensuring AI systems are not only powerful but also usable, trustworthy, and socially accepted. As AI becomes ubiquitous, the future of ergonomics lies in co-evolving with intelligent systems to enhance both human performance and system effectiveness.

The Japanese Journal of ErgonomicsVol. 61(Supplement)
Seoul National University (KR)
University of Pennsylvania, Pennsylvania State University, Seoul National University, Samsung
Openalex Percentile: Top 74%
Occupational Health and Safety Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Intelligentizing Human Factors: Human centered AI in the next 10 years — Myung Hwan Yun · The Japanese Journal of Ergonomics (2025) | TGRS Research Map | TGRS