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最終更新日:2019/12/11  
筑波大学 教育課程編成支援システム(EN)

01CF117 Seminar in Human Factors

1.0 Credits, 1, 2 Year, FallAB Thu2
Makoto Itoh, Yuichi Saito

Course Overview

人と機械とのインタラクションを中心に、ヒューマンファクターの分析ならびにシステムデザインについて事例をもとに分析を行う

Remarks

Course Type

class exercises

Field

The Total Risk Management field

Relationship with Major Educational Goals

This class exercises are related to "1. The basic theory for analyzing and assessing risk," "2. The data processing skills for analyzing and assessing risk," "3. The real-world problems that are the target of risk engineering," "4. The ability to approach risk engineering from a wide range of perspectives," "5. The processes for solving risk-related problems from setting objectives to solving them and the specific measures," and "6. The ability to carry out tasks and take a leadership role in a research project."

Course Highlight

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.

Calendar

This class exercises aim at understanding key concepts and methods by reading literatures on them in the previous week. Based on that knowledge, this class exercises aim at conducting presentation and discussion about the case study which applied the key concepts and methods.

1)Interaction between human and environment: risks under closed loop system of car-driving   
2)Function allocation between human and machine: situation awareness, static function allocation (Fitts list), and dynamic function allocation   
3)Human centered-aviation   
4)Human centered-automation in car-driving: Fundamental concept of ADAS, and design of autonomous emergency braking system   
5)Horse-metaphor, communication between rider and horse, and shared control   
6)CRM (Crew Resource Management)   
7)Accident models (such as Swiss cheese models) and organizational accidents   
8)Organizational Management and PDCA Cycle   
9)Safety-I and safety-II   
10)Discussion on human factors   

Outcomes

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.

Grading

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%, and end-term examination is 30%.

Relationship with Student Achievement Assessment Attributes

For students of the total risk management field, this class exercises are mainly related to "knowledge of fundamental/basic theory in the major field,” partly to understanding real-world problem" and "ability in recognizing problem from broad perspective.” For students in other fields, the part of " knowledge of fundamental/basic theory in the major field" is interpreted as " knowledge of fundamental/basic theory in related fields."

Text

Handout, reference literature.

References

Office Hour

Please send me an email.

Makoto Itoh To schedule an appointment, please send me an email.
 SB0808 5502 1002214 http://www.risk.tsukuba.ac.jp/~itoh/
Yuichi Saito

Prerequisites

This class exercises are expected to be interested in understanding human characteristics. It is desirable to have basic knowledge about human functions and characteristics that is dealt with in the class of Human Factors (01CF119).

Other Information

Related Courses

01CF119 Human Factors

Self-study

Reading the reference literatures, and conducting the risk analysis according to the class contents of each week.