Course Objective

This is a seminar course exploring interdisciplinary studies of emotions and their effects on human behavior and society. Topics covered in the course include: the role of cognitive processes on emotional states, physiological aspects of emotion, emotional regulation and control, social relationships and emotion dynamics, affective neuroscience and neuroeconomics, disorders of emotion in psychopathology, and discussions of emotional well-being and happiness.

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Course Objective

Advances in artificial intelligence enable a variety of AI-infused systems and provide opportunities as well as challenges for user interface design. As automated inferences are standard under uncertainly, AI-infused systems may demonstrate unpredictable behaviors causing many levels of problems. The Human-Computer Interaction (HCI) communities have developed principles of human-centered design for several decades. With increased automation and decision-making capabilities in the AI- infused systems, it is crucial to understand human behavior interacting with intelligent systems. In this course, we will review topics in psychology, HCI, and AI technologies that are relevant to develop human-centered systems designs.

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Course Objective

Psychology is a laboratory-based science investigating the human mind and behavior. This course is a broad introduction to the field of psychology. We will review several subfields of psychology such as sensation and perception, cognition, neuroscience, social psychology, developmetal psychology, biological psychology, and clinical psychology. Studnets in this course will learn the key concepts, perspectives and research findings that shaped contemporary psychology.

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Course Objective

This course provides an overview of cognitive psychology. Cognitive psychology is a laboratory-based science investigating the mental processes that allow us to remember the name of our 3rd grade teacher yet forget what we had for dinner last night, to notice our name in a random conversation at a party and yet keeps us from hearing our mom asking us to take out the garbage. Although most of what we know about cognitive psychology has arisen from controlled laboratory experiments, it impacts your everyday life in many ways. The goals in this course are to present the laboratory-based foundation on which cognitive psychology is built and to make that information relevant. You will read journal articles and conduct some cognitive psychology experiments by using the online experiment tool [Zaps] provided by the publisher. After completing this class, you will have a good grounding in cognitive psychology, its methods and theoretical outlook, and an ability to capitalize on this knowledge to improve the quality of your mental life (e.g., improved study habits, enhanced memory, make better decisions) as well as understand the cognitive principles that underlie these improvements.

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Course Objective

In this course, we will survey human capabilities and limitations in human- machine interaction, including vision, memory, attention, motor control, and human error. Emphasis will be on the theories and implications of systems design.

By the end of the term, students will demonstrate their ability to:
- Identify human performance capacities and imitations in modern human-machine interactions;
- Integrate various theories and methods in order to develop research questions;
- Design experimental settings where usability theories can be tested;
- Evaluate the effectiveness of the performance of human-machine systems;

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Course Objective

Human Factors is a field which is involved in conducting research regarding psychological, social, physical, and biological characteristics of human, and working to apply that information to the design of equipment they use, environments in which they function, and jobs they. This course is designed to provide students of various disciplines with a fundamental understanding of human factors that must be taken into account in the design and engineering of complex systems. We will focus on human capabilities and limitations from sensory, motor, and cognitive sources to include that should be incorporated into human engineering design principles of displays, controls and ergonomics, manual control, the nature of human error, basic experimental design, and human-computer interaction in supervisory control settings.

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