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Syllabus

Infomation of Course

Program Common [공통(상호인정)] Course Type Major Elective [ 전공선택 ]
Course Code 31.416 Course No IE416
Section English English
L:L:C(AU) 3:1:3.0(0) Exam time
(classroom)
- Thu: 09:00~11:45
()
Course Title Techniques and Methods in Human Engineering [ 인간공학기법과 방법론 ]
Class time
(classroom)
Tue: 10:30~12:00 / (E2)Industrial Engineering & Management Bldg. [ (E2)산업경영학동 ] (1120)
Thu: 10:30~12:00 / (E2)Industrial Engineering & Management Bldg. [ (E2)산업경영학동 ] (1120)
Notice

Information of Professor

Name 셔핑숑(Xiong, Shuping)
Department 산업및시스템공학과(Department of Industrial & Systems Engineering)
Phone 420-350-3132
E-Mail shupingx@kaist.ac.kr

Plan of Lecture

Syllabus File
Syllabus URL
Summary of Lecture This course introduces state-of-the-art techniques and methods in human engineering. Topics include: design and analysis of human experiments, instrumentation for human biosignal acquisition (motion capture, eye tracking, EMG…), techniques for assessing human physical and mental workloads, and digital human modeling. Laboratory work is also included.
Material for Teaching Stanton N, Hedge A, Brookhuis K, Salas E, and Hendrick HW., 2005. Handbook of Human Factors and Ergonomics Methods. CRC Press. (Main Textbook)
Gavriel Salvendy., 2012. Handbook of Human Factors and Ergonomics, Fourth Edition. John Wiley & Sons, Inc. (Auxiliary textbook)
Chaffin, D.B., Andersson, G.B.J., and Martin, B.J., 2006. Occupational Biomechanics (4th edition), John Wiley and Sons, NJ. (Auxiliary textbook)
Evaluation Criteria * The followings evaluation criteria may change:
(1) Class Participation & Individual Assignments: 15%
(2) Labs and Reports: 15%
(3) Paper Presentation: 10%
(4) Midterm Exam: 30%
(5) Group Project: 30%
Lecture Schedule Tentative Schedule:
Week 1.Techniques and methods in human engineering: An overview
Week 2.Design and analysis of human experiments (CRD, RCBD)
Week 3.Design and analysis of human experiments (Latin-square, factorial design.)
Lab #1: Design and analysis of a human experiment
Week 4.Instrumentation for human biosignal acquisition I: Motion capture
Week 5.Instrumentation for human biosignal acquisition II: Eye tracking, EMG…
Week 6. Lab #2: Human full-body tracking and motion analysis
Week 7.Techniques for assessing human physical workloads (3DSSPP Demo)
Week 8. Midterm exam
Week 9. Techniques for assessing human mental workloads
Week 10. Final project: Topics and proposal
Week 11. Digital human modeling: Fundamentals
Week 12. Digital human modeling: Applications
Week 13. Guest lectures on state-of-the-art techniques in human engineering
Week 14. Research paper review I
Week 15. Research paper review II
Week 16. Final group project: Presentation
Memo