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Advanced HCI quantitative research methods

Course code:INFOMQNM
Credits:7.5 ECTS
Period:period 4 (week 17 through 26, i.e., 26-4-2021 through 2-7-2021; retake week 28)
Timeslot:B
Participants:up till now 47 subscriptions
Schedule:Official schedule representation can be found in MyTimetable
Teachers:
formgrouptimeweekroomteacher
lecture          Christine Bauer
Christof van Nimwegen
Contents: Advanced HCI quantitative research methods As with all empirical sciences, to assure valid outcomes, HCI studies heavily rely on research methods and statistics. This holds for the design of user interfaces, personalized recommender systems, and interaction paradigms for the internet of things. This course prepares you to do so by learning you to collect data, design experiments, and analyze the results. By the end of the course, you will have an understanding of how to select and apply quantitative research methods and analysis to address HCI challenges.

In this course students will acquire knowledge about quantitative methods used in HCI research, including the design of research studies, metrics and scales, and concepts such as reliability and validity. Besides acquiring knowledge, the course will include hands-on exercises with respect to hypothesis testing, including both data preparation as well as performing parametric and non-parametric tests.
Literature: Advanced HCI quantitative research methods Will be added continuously.
Course form:Lectures will be alternated with hands-on learning. The basic concepts and how-tos will be presented in a lecture style with sufficient time for questions and discussion. The concepts presented in the lectures will be applied in hands-on exercises in the context of state-of-the-art HCI challenges.
Exam form:Take-home
Minimum effort to qualify for 2nd chance exam:Om aan de aanvullende toets te mogen meedoen moet de oorspronkelijke uitslag minstens 4 zijn.
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