Master human factors engineering principles to reduce errors and improve system safety. Learn key concepts in human-centered design.
Master human factors engineering principles to reduce errors and improve system safety. Learn key concepts in human-centered design.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Human Factors & Usability Engineering: Designing for Humans Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
Instructors:
English
What you'll learn
Understand fundamental human factors principles
Identify and classify types of human error
Apply systems approach to error reduction
Implement error prevention strategies
Evaluate human system performance
Skills you'll gain
This course includes:
1.7 Hours PreRecorded video
4 quizzes, 1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course introduces the fundamentals of human factors engineering and its role in reducing human error. Students learn to identify different types of human error, understand systems approaches, and implement error reduction methods. The curriculum covers key concepts in human performance, error classification, and system design, preparing professionals to create safer and more efficient systems across various industries.
Specialization Overview and Course Introduction
Module 1 · 7 Minutes to complete
Module 1: What is the Human Factor?
Module 2 · 2 Hours to complete
Module 2: Taking a "Human Systems Approach"
Module 3 · 1 Hours to complete
Module 3: Types of Human Error
Module 4 · 1 Hours to complete
Module 4: Methods for Reducing Human Error
Module 5 · 4 Hours to complete
Fee Structure
Instructor
Associate Professor of Human Systems Engineering at Arizona State University
Dr. Robert Gray is an associate professor and undergraduate program chair in Human Systems Engineering at the Polytechnic School of Arizona State University. Originally from Toronto, Canada, he completed his bachelor's degree in psychology at Queen’s University and earned both his master's and doctoral degrees in experimental psychology at York University. After obtaining his Ph.D. in 1998, he worked as a research scientist for Nissan Motor Corporation before joining ASU as an assistant professor in 2001. He has since advanced to associate professor and program head while also serving as a part-time research psychologist for the United States Air Force.Dr. Gray's research focuses on perceptual-motor control, particularly in high-demand environments such as driving, aviation, and sports. His work aims to improve training, simulation, accident prevention, and human-machine interface development. He has received several accolades for his contributions to psychology, including the Distinguished Scientific Award for Early Career Contribution to Psychology from the American Psychological Association. Dr. Gray also hosts "The Perception & Action Podcast," where he discusses how psychological research can enhance performance and skill acquisition.
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Frequently asked questions
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