In this course, the students will learn the fundamental tools to critically read research literature and

to carry out their own human computer interaction research. The course will review the leading

research methods, with an emphasis on quantitative and empirical ones. The course is suitable for

students with backgrounds in engineering (information systems, industrial engineering, and

computer science) or human factors (behavioral psychology and organizational psychology). The

course will involve hands-on practice of experimentation, survey design, and data analysis with

statistical tools. The course is different from other HCI courses given in Israel, as its objective is to

train practitioners and academics for research, rather than for design of interaction.

The course would cover the following subjects:

• Defining research questions in human-computer interaction.

• Research design, including experiments, surveys, usability testing etc.

• Defining variables.

• Statistical analysis with R, including tabular relations, correlations, regressions and

statistical tests.

• Qualitative research and grounded theory.

• Discussing, framing, visualizing and writing research results.

Grading

The final grade in the course would be based on the next three tasks:

• Final exam (70%)

• Research assignment (30%)

Students need to pass the exam with a minimal grade of 60 in order to pass the course.