Information Package / Course Catalogue
Human Robot Interaction
Course Code: MCS511
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: English
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 8
Objectives of the Course

The aim of this course is to provide students with basic information about human-robot interaction and to gain the necessary skills to follow current research and developments in this field. Students will develop their knowledge and skills in topics such as understanding the interaction process between humans and robots, observing human needs and behaviors, and applying the principles of interaction design and user experience.

Course Content

This course covers basic concepts, theoretical models, design principles and practical applications in the field of human-robot interaction. The following titles represent the main summary content of the course. Definition and Importance of Human-Robot Interaction: Explaining the concept of human-robot interaction, Importance of human-robot interaction and application areas Human Behavior and Human-Centered Design: Observation and analysis of human behavior, Determination of human needs and integration into the design process, Human-centered design principles Perception and Sensor Technologies: Basic principles of human perception, Environmental sensors and technologies, Robotic systems that mimic human perception Human Robot Communication: Verbal and nonverbal communication methods, Communication interfaces and interface design Communication challenges and solutions Motion Control and Human Robot Mapping: Robot motion and control, Human robot matching methods, Effect of motion control on user experience Interaction Design and User Experience: Basic principles of interaction design, User interface design and prototyping, User experience evaluation methods

Name of Lecturer(s)
Assoc. Prof. Ahmet Çağdaş SEÇKİN
Learning Outcomes
1.To be able to explain the concept of human-robot interaction and to emphasize its importance. To be able to develop robotic systems that imitate human perception by using sensing technologies. Ability to identify requirements for interaction design by observing and analyzing human behavior.
2.To be able to apply verbal and nonverbal communication methods and interface design principles for human-robot communication.
3.To be able to apply human-robot matching methods by understanding robot movement and control.
4.To be able to design user interfaces by understanding the basic principles of interaction design.
5.Ability to integrate disability and accessibility issues into interaction design.
6.To be able to use data analysis and machine learning methods for human robot interaction.
7.To be able to evaluate current application examples and case studies in the field of human-robot interaction.
Recommended or Required Reading
1.Korn, O. (Ed.). (2019). Social robots: technological, societal and ethical aspects of human-robot interaction. Berlin/Heidelberg, Germany: Springer.
2.Kanda, T., Belpaeme, T., Eyssel, F., Bartneck, C., Šabanovic, S., Keijsers, M. (2020). Human-Robot Interaction: An Introduction. Singapore: Cambridge University Press.
3.Siciliano, B., Khatib, O., & Kröger, T. (Eds.). (2016). Springer Handbook of Robotics
4.Federico Vicentini, Gurvinder Singh Virk, Paolo Barattini, Tamas Haidegger (2019). Human-Robot Interaction: Safety, Standardization, and Benchmarking. United States: CRC Press.
5.Bin Wei, Dan Zhang (2020) Human–Robot Interaction: Control, Analysis, and Design
Weekly Detailed Course Contents
Week 1 - Theoretical
Definition and Importance of Human Robot Interaction
Week 2 - Theoretical
Human Behavior and Human-Centered Design
Week 3 - Theoretical
Detection and Sensor Technologies
Week 4 - Theoretical
Human Robot Communication
Week 5 - Theoretical
Motion Control and Human Robot Matching
Week 6 - Theoretical
Interaction Design and User Experience Fundamentals
Week 7 - Theoretical
User Research and Needs Analysis
Week 8 - Theoretical
Prototype Design and Development
Week 9 - Theoretical
User Tests and Feedback Analysis
Week 10 - Theoretical
Security and Ethical Issues in Interaction Design
Week 11 - Theoretical
Disability and Accessibility in Interaction Design
Week 12 - Theoretical
Data Analysis and Machine Learning for Human Robot Interaction
Week 13 - Theoretical
Current Practice Examples and Case Studies
Week 14 - Theoretical
Project presentations by students
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%30
Final Examination1%40
Project1%30
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory1453112
Project145348
Midterm Examination110313
Final Examination120323
TOTAL WORKLOAD (hours)196
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
OÇ-1
3
4
5
3
4
5
3
4
5
OÇ-2
3
4
5
3
4
5
3
4
5
OÇ-3
4
4
4
4
4
4
4
4
4
OÇ-4
4
4
4
4
4
4
4
4
4
OÇ-5
5
5
5
5
5
5
5
5
5
OÇ-6
5
4
5
4
5
4
5
4
5
OÇ-7
4
5
4
5
4
5
4
5
4
Adnan Menderes University - Information Package / Course Catalogue
2026