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Courses

  • User Interfaces Characterization (10147)
  • Autonomous Vehicles and Human Engineering in the Worlds of AI (10359)
    • Course summary:

    Abstract:

    Our world is rapidly progressing towards autonomy at an incredible pace. Shortly, driverless vehicles will appear on the roads, and pedestrians need to understand how to behave in this new world. Therefore, it is necessary to examine optimal communication between pedestrians, passengers, and autonomous vehicles. For this purpose, it is essential to comprehend both human capabilities and limitations, as well as the current technological possibilities.

    During this course, we will look at human-centered design principles and observe users' limitations (including the psychological aspects concerning future technology). Moreover, we will explore the various tools available for data gathering, such as external vehicle cameras and environmental sensors.

    Then, the students will examine a problem existing in the transportation world today using big data analysis and classic user research tools (interviews, observations, usability tests, etc.) and provide optimal solutions (prototypes) that can be applied in the autonomous vehicles world.
  • Introduction to Decision Making (40267)
    • Course summary:

    Abstract:

    The course "Introduction to Decision Making" presents fundamental principles in decision-making, focusing on two main directions: normative models for decision-making (decision analysis) and behavioral decision-making. The first part of the course focuses on normative models, designed to present tools and approaches for decision analysis and performing sensitivity analyses. The second part reviews theories from the field of behavioral decision-making, including psychological aspects that influence our decision-making processes as humans.