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Course description
When you design a new user interface or adopt a new software for your company, how do you evaluate whether these changes improve your or your company's performance? By how much will the performance be improved? Will the changes be worth the cost? How certain are you in the answers to these questions? How can you convince your colleagues or supervisors to believe in your findings?
To address these questions, researchers and practitioners in human–computer interaction use quantitative research methods to collect data, design experiments, and analyze the results. This course introduces students to the following key methods of quantitative research:
Students will learn these methods hands-on through assignments and project work. This course is an ideal preparation for a thesis and future research work in the field of human–computer interaction. Knowledge in this course is also essential for practitioners such as user experience specialists.
Grading
The lectures will be accompanied by assignments (c.a. 40%) and project work (c.a. 60%). All works will be in team. There is no final exam. The exact distribution of the coursework will be communicated at the first class.