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2021 Faculty Courses School of Engineering Department of Industrial Engineering and Economics Graduate major in Industrial Engineering and Economics

Human-Robot Interaction

Academic unit or major
Graduate major in Industrial Engineering and Economics
Instructor(s)
Hiroyuki Umemuro / Jacqueline Urakami
Class Format
Lecture/Exercise
Media-enhanced courses
-
Day of week/Period
(Classrooms)
7-8 Mon / 7-8 Thu
Class
-
Course Code
IEE.C534
Number of credits
110
Course offered
2021
Offered quarter
4Q
Syllabus updated
Jul 10, 2025
Language
English

Syllabus

Course overview and goals

Human-Robot Interaction (HRI) is a multidisciplinary study of interactions between Humans and Robots. The goal of this course is to examine psychological and sociological concepts that are relevant for understanding, evaluating, and designing natural and intuitive interactions between humans and robots. The course covers topics such as communication, trust, acceptance, empathy, affective design, and ethical considerations for HRI. In the course, students will learn what human needs and requirements have to be met in order to design effective and successful human-robot interactions. Furthermore, the course intends to increase students’ awareness of social aspects of technology and social considerations surrounding technology.

Course description and aims

Students will
1) Learn basic psychological and sociological concepts and how to apply them to the design of human-robot interaction
2) Understand human capabilitites and limitations that have to be considered in Human-Robot Interaction
3) Develop a criticial understand of the impact of new technologies on society

Keywords

human-robot interaction, communication, intelligent automated systems, empathy

Competencies

  • Specialist skills
  • Intercultural skills
  • Communication skills
  • Critical thinking skills
  • Practical and/or problem-solving skills

Class flow

Each class will cover a different topic relevant for Human-Robot interaction. The class will be held Online and recordings of the class will be made available for viewing. Every class contains a lecture and group discussions / group work. Class participation is registered by filling out a Google form for each course after you have taken the Zoom course or viewed the course record.

Course schedule/Objectives

Course schedule Objectives
Class 1

Introduction

Course content, class flow, course requirements will be explained

Class 2

A short history of robotics

Historic overview of how robot technology has evolved and changed peoples life

Class 3

Study methods and designs for evaluating Human-Robot interaction

Fundamentals in research methods, laboratory and field studies, research design

Class 4

Sources of Interactivity effects

Interactivity of HRI, Affordance and Machine Agency

Class 5

Physical interaction and haptics

Foundation of haptics, Effect of haptics in Human-Robot interaction

Class 6

Verbal and non-verbal communication

Fundamentals of communication studies and how to apply these to Human-Robot interaction

Class 7

Affective Design

The role of emotions for designing Human-Robot interactions

Class 8

Acceptance and Trust

The concept of trust, role of trust for accepting and interacting with robots

Class 9

Empathic Human-Robot interaction

Concept of empathy, how to improve Human-robot collaboration by incorporating empathy into the dialog

Class 10

Developing long-term relationships

Foundations of relationship building, maintaining a lasting and positive relationship in Human-Robot interaction

Class 11

Ethical guidelines for Artificial Intelligence

Ethical guidlines for Artificial Intelligence, Impact of robot technology on society

Class 12

Presentation (PechaKucha Style)

Short presentation by students covering specific problems in a chosen applied field of robotics or artificial intelligence

Class 13

Applications: Domestic assistance / Service sector

Review of specific available applications that facilitate daily life and are used in the service sector

Class 14

Challenges and Future scenarios of HRI

Discussing challenges of HRI that emerge with the evolution of more intelligent interactive technologies.

Study advice (preparation and review)

To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.

Textbook(s)

No textbook is set.

Reference books, course materials, etc.

Additional course materials will be provided in class or on OCW-i.

Evaluation methods and criteria

Attendance at classes (Google form) 20%.
Homework 20%
Group project 20%
Presentation 30%
Peer review of the presentation 10%

Related courses

  • IEE.C304 : Ergonomics
  • IEE.C432 : Applied Cognitive Ergonomics
  • IEE.C533 : Affect in Social Context
  • IEE.C203 : Engineering Psychology
  • IEE.C202 : Industrial Engineering

Prerequisites

Nothing in particular. Interest in the subject and being able to discuss in English.