This project-based course engages students in current, ongoing research on user modelling. Students in this course design user interaction experiments in which they will capture user interaction logs, human observations, videos and other forms of data. Students will use statistical and data mining techniques to create models of user affect and behavior. A major portion of credit in this module comes from class participation, which includes recitation during discussions and participation in in-class activities. Examples of the latter in the case of HCI include a mock usability test and a mock eye tracking test. The purpose of these exercises is to familiarise students with procedures for collecting data. Class participation is graded based on frequency of participation and quality of contribution. In-class activities are graded based on actual attendance in the activity and answers to guide questions.

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