ISE 5740
Transcript Abbreviation:
Hu Centered Auto
Course Description:
Provides key concepts to make autonomous systems, robots, and artificially intelligent systems team players with responsible people.
Course Levels:
Graduate
Designation:
Elective
General Education Course:
(N/A)
Cross-Listings:
(N/A)
Credit Hours (Minimum if “Range”selected):
3.00
Max Credit Hours:
3.00
Select if Repeatable:
On
Maximum Repeatable Credits:
8.00
Total Completions Allowed:
4.00
Allow Multiple Enrollments in Term:
No
Course Length:
14 weeks (autumn or spring)
12 weeks (summer only)
Off Campus:
Never
Campus Location:
Columbus
Instruction Modes:
In Person (75-100% campus; 0-24% online)
Prerequisites and Co-requisites:
Prereq: Sr or Grad standing, or permission of instructor.
Electronically Enforced:
No
Exclusions:
Not open to students with credit for 771.01.
Course Goals / Objectives:
Learn how to avoid the pitfalls of clumsy automation
Analyze team work between people and automated systems in open situations
Design to make automated systems observable and directable
Know the basic techniques to overcome the brittleness of automated systems
Amplify the performance of joint human-automation systems
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC | LAB | LAB Inst |
|---|---|---|---|---|
| Introduction: Automation and Teamwork Supervisory control and teleoperation Automation surprises Substitution myth Cases from aviation automation; infusion devices in anesthesiology | 4.0 | 0.0 | 0.0 | 0 |
| Basic concepts in human-centered automation Clumsy automation Open worlds and brittle automation Software agents Autonomy, authority, animacy, initiative, responsibility Delegation, trust in automation | 4.0 | 0.0 | 0.0 | 0 |
| Making automation team players Observability, directability, directed attention Synchronizing interdependent activities Integrating multiple perspectives | 4.0 | 0.0 | 0.0 | 0 |
| Robotic systems Robot handler; mission problem holder Human robot ratio Case: Rescue robots | 4.0 | 0.0 | 0.0 | 0 |
| How to Make Intelligent Systems Team Players Expert computer systems, Advisory Interactions Critiquing Systems | 4.0 | 0.0 | 0.0 | 0 |
| Assessing Human-Automation Interaction | 2.0 | 0.0 | 0.0 | 0 |
| Laws that Govern Cognitive Work in Human-Automation Systems | 4.0 | 0.0 | 0.0 | 0 |
| Integration Review of fundamental principles Overcoming the brittleness of automation | 2.0 | 0.0 | 0.0 | 0 |
| Total | 28 | 0 | 0 | 0 |
Grading Plan:
Letter Grade
Course Components:
Lecture
Grade Roster Component:
Lecture
Credit by Exam (EM):
No
Grades Breakdown:
| Aspect | Percent |
|---|---|
| Homework | 20% |
| Exercises and project | 40% |
| Exam | 40% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| Joint Cognitive Systems: Patterns in Cognitive Systems Engineering | Woods and Hollnagel | |
| Human-centered design of decision support systems | Smith, P.J., Geddes, N. and Beatty, R | |
| Course readings | Various |
ABET-CAC Criterion 3 Outcomes:
(N/A)
ABET-ETAC Criterion 3 Outcomes:
(N/A)
ABET-EAC Criterion 3 Outcomes:
(N/A)
Embedded Literacies Info:
Attachments:
(N/A)
Additional Notes or Comments:
(N/A)
Basic Course Overview:
ISE_5740_basic.pdf
(10.59 KB)