Digital transformation of the industries has brought a new dimension to industrial engineering: design and management of digital systems. No industry today, can succeed without effective management of the digital systems (e.g.web based systems, mobile apps, software systems).
The key success factor for digital systems is user performance and satisfaction, which heavily relies on effective application of human-computer interaction (HCI) principles. On the system side, user experience (UX) is the modern concept of building "user-friendly" systems. Thus, HCI & UX is the extension of traditional human factors and ergonomics into modern digital world.
This course aims to provide students with the theoretical and applied HCI & UX knowledge that an industrial engineer should have to perform effectively in the industrial and service environments, as well as in the IT field.
The students will learn the underlying principles of HCI and UX, the tools and techniques for evaluation and improvement of the digital systems for better user performance and satisfaction.
Prerequisite(s)
-
Corequisite(s)
-
Special Requisite(s)
The minimum qualifications that are expected from the students who want to attend the course.(Examples: Foreign language level, attendance, known theoretical pre-qualifications, etc.)
Jesse James Garrett, The Elements of User Experience, New Riders, (2011).
Other Sources
-Donald Norman, The design of everyday things, Basic Books, (2013) Emrah Yayıcı, UX Design and usability mentor book, UXServices, (2014) Jeff Sauro, James Lewis, Quantifying the user experience, Morgan Kaufmann, (2012) Tom Tullis, Bill Albert, Measuring the user experience, Morgan Kaufmann, (2008)
Course Schedules
Week
Contents
Learning Methods
1. Week
Course overview: introduction to digital systems, HCI & UX, the roots of HCI & UX: ergonomics and human-machine interaction, importance of HIC & UX for corporate performance
Lecture, discussion
2. Week
Interaction defined, types of interaction, innovative interactive systems
Lecture, discussion
3. Week
Cognitive aspect: Human cognition, information processing, Fitt's Law, Hyck-Hyman Law, Gestalt principles
Lecture, discussion
4. Week
Usability defined: the elements of usability, Technology Acceptance Model, Nielsen heuristics
Lecture, discussion
5. Week
UX: emotional aspect of interaction, role of UX in customer experience, Garret's 5-elements model
Lecture, discussion
6. Week
UX strategy, persona method for user profiling
Lecture, discussion, application
7. Week
Evaluation in UX: overview, quantitative and qualitative methods, performance metrics
Lecture, discussion
8. Week
Applied heuristic UX evaluation
Lecture, application
9. Week
Subjective UX evaluation tools, application and statistical data analysis
Lecture, application, problem solving
10. Week
User tests, methodology, data collection and statistical analysis, eye tracking
Lecture, application, problem solving
11. Week
Mobile UX
Lecture, discussion
12. Week
Future of HCI & UX
Lecture, discussion
13. Week
Case studies in HCI &UX
Lecture, discussion
14. Week
Term project presentations
Presentation
15. Week
Final exam
16. Week
Final exam
17. Week
Final exam
Assessments
Evaluation tools
Quantity
Weight(%)
Midterm(s)
1
30
Homework / Term Projects / Presentations
1
35
Final Exam
1
35
Program Outcomes
PO-1
Knowledge about management processes and management skills
PO-2
Knowledge and application skills related to the methods and competencies required for solving engineering problems
PO-3
Knowledge about developing areas of manufacturing and service sectors
PO-4
Ability to work in multi-disciplinary engineering teams
PO-5
Experience and knowledge of scientific research and publishing within the frame of academic ethics
Learning Outcomes
LO-1
Explain the importance of digital systems for modern industrial context, define HCI & UX, explain the relation between ergonomics and HCI & UX, give examples to show importance of HCI & UX for corporate performance
LO-2
Explain the structure of human cognition and information processing, describe the application of Fitt's Law and Hyck-Hyman Law, give examples to Gestalt principles
LO-3
Define usability, explain the elements of usability, discuss Technology Acceptance Model, give examples to Nielsen heuristics
LO-4
Define UX, discuss UX strategy, describe quantitative, qualitative and heuristic UX evaluation methods and their performance metrics and apply the necessary statistical data analysis
LO-5
Explain user test methodology, give example to application of data collection and statistical analysis in user test, explain eye tracking method
