1.0 Credits, 1, 2 Year, FallAB Thu2
Yuichi Saito, Makoto Itoh
Course Overview
Understanding the methodology of measures, and the fundamental concepts/model for describing the real-world problems in terms of (1) human factors in human-machine interaction, such as over-trust and mistrust in automation, risk avoidance and decision support in emergency situations, desin and evaluation of interface for realizing human-machie cooperation under risk environments, and (2) human factors in human activities under teams and organizations, such as communication and safety culture.
Course Objectives(Learning Outcomes)
The aim of this class exercises is to acquire the methodology to cope with risks in a practical manner through analysis of human factor issues related to system design, construction, and operation.
1) Understanding the risks that occur under high-risk environments, such as car-driving and large-scale monitoring control systems, and how human factors are involved in the risk.
2) Acquiring the ability to materialize/construct an idea of a desirable system design as well as the ability to explain the problems of human-machine systems in automation using appropriate terms.
3) Acquiring the ability to suggest appropriate ways of the management in teams and organizations as well as the ability to explain the human factor issues in teams and organizations using appropriate terms.
Course Keywords
Human Factors, automation, Human-Machine System, team, and Organization
Grading Philosophy
On the basis of the scores of reports of seminars, presentation and discussion during class exercises, and mid-term/end-term examinations. The ratio is as follows: the scores of reports of seminars is 10%, presentation and discussion during class exercises is 30%, mid-term examination is 30%, end-term examination is 30%.
Course Hours Breakdown and Out-of-Class Learning
Reading the reference literatures, and conducting the risk analysis according to the class contents of each week.
Textbooks, References,and Supplementary Materials
Handout, reference literature.