Human-Robot Interaction

Designing robots that work with, and around, people: human factors, communication, collaborative workspaces, social and assistive robots, teleoperation, trust, user studies and data analysis, accessibility, privacy and ethics.

ROB-430 Year 4 3 credits 12 lessons · 6 h 26 min

Offered by HSM University · Robotics

This is the Canadian version of this course. See the American version.

What you'll learn

  • Describe human-robot interaction by roles, proximity and levels of automation, and estimate fan-out from neglect and interaction times.
  • Apply human factors models of attention, workload, situation awareness, pointing and error, and compute NASA-TLX scores and Fitts' law predictions.
  • Design multimodal robot communication using speech, gesture, gaze, light, sound and motion, and distinguish legible from predictable motion.
  • Explain the four collaborative methods and compute protective separation distances and power and force limiting checks, mapping CSA Z434 and ANSI/A3 R15.06 to ISO 10218:2025.
  • Evaluate social and assistive robots using research on anthropomorphism, proxemics and novelty, and critically assess the uncanny valley hypothesis.
  • Analyse teleoperation under time delay, the role of haptic feedback and camera-based situation awareness, and design shared autonomy with confidence-based arbitration.
  • Explain trust calibration, misuse, disuse and automation bias, compute the positive predictive value of alarms, and apply technology acceptance models.
  • Design HRI user studies with appropriate designs, counterbalancing, validated measures such as Godspeed, NASA-TLX and SUS, justified sample sizes and ethics review under TCPS 2 or the Common Rule.
  • Analyse HRI data with paired tests, effect sizes, confidence intervals, Cohen's kappa and multiple-comparison corrections, and explain the causes of and remedies for the replication crisis.
  • Apply universal and inclusive design, WCAG 2.2 and reach-range guidance to robot interfaces and bodies, and map accessibility law in Canada and the United States.
  • Identify privacy risks of interactive robots, apply privacy by design, k-anonymity and differential privacy, map Canadian and US privacy law, and evaluate ethical and employment impacts.
  • Design and plan the evaluation of a collaborative workstation or social robot interaction, from stakeholder and task analysis through risk assessment to a preregistration-ready study.

Course content

12 lessons · 6 h 26 min total · final exam

  1. 1 Foundations of human-robot interaction 33 min · quiz
  2. 2 Human factors: workload, situation awareness and Fitts' law 34 min · quiz
  3. 3 Communication: speech, gesture, gaze, light and sound 34 min · quiz
  4. 4 Collaborative robots and shared workspaces 37 min · quiz
  5. 5 Social and assistive robots 32 min · quiz
  6. 6 Teleoperation and shared autonomy 31 min · quiz
  7. 7 Trust, acceptance and over-reliance 28 min · quiz
  8. 8 Designing HRI user studies 32 min · quiz
  9. 9 Analysing HRI data 31 min · quiz
  10. 10 Accessibility and inclusive design 29 min · quiz
  11. 11 Privacy, ethics and social impact 33 min · quiz
  12. 12 Capstone: designing and evaluating a cobot workstation or a social robot interaction 32 min · quiz
  13. E Final exam 20 questions

Requirements

Recommended background. You can start any course at any time.

Description

Designing robots that work with, and around, people: human factors, communication, collaborative workspaces, social and assistive robots, teleoperation, trust, user studies and data analysis, accessibility, privacy and ethics.

Part of the Science stream, typically taken in year 4.