Human-Computer Interaction

Course Objective

Students will learn to:

Knowledge and understanding:
1. Describe fundamental principles of user experience
2. Describe fundamental input and output techniques for human-computer
interaction

Applying knowledge and understanding:
3. Gather requirements for designing interactive systems
4. Apply low-fidelity and high-fidelity prototyping methods for
interactive systems
5. Evaluate interactive systems

Making judgements:
6. Validate empirical evaluations of interactive systems

Communication:
7. Communicate design solutions and evaluations on an academic level

Lifelong learning skills:
8. Work in teams to achieve a common goal

Course Content

The lectures in this course will discuss and present examples of
concepts and methods in the field of human-computer interaction. The
course will outline general usability challenges associated with
existing case studies. It will also cover in detail the most important
methods used in requirements gathering, iterative testing of interfaces,
and summative evaluation phases of the user-centered design process. In
practicums, students will be able to practice the use of relevant
methods within the context of the case study systems. Some of the topics
covered in the course are: User Needs Analysis, Conceptual Design,
Mockups and Prototypes, Usability Evaluation of Prototypes.

Additional Information Teaching Methods

Lectures, case studies, practice sessions. This course is taught on
campus, attendance is mandatory, and there are no online options (only
some lectures are pre-recorded).

Method of Assessment

The final grade is composed of the several sub-assessments:
- weekly individual assignments
- group assignments and group project
- final individual assignment (essay)

The final grade will be calculated based on the assignment grades and
the essay grade:
FINAL GRADE = 0.35 x INDIVIDUAL ASSIGNMENTS + 0.3 x GROUP ASSIGNMENTS +
0.35 FINAL ESSAY

To pass the course, students need to pass both parts (Grade >=5,5). If a
resit is needed, students can submit a new version of their essay.

Groups are between 2-4 students, and are assigned randomly by the
teaching staff. Should issues arise (e.g., unequal contributions to the
work), students may be placed alone in their own group. Penalties will
apply for late assignments, and missed practicals.

Literature

Recommended Literature:
MacKenzie, I. S. (2012). Human-computer interaction. Elsevier Science.
ISBN: 9780124058651. Available at the VU Library
(https://vu.on.worldcat.org/oclc/875263048)

Additional Information Target Audience

Bachelor Artificial Intelligence
Bachelor Information Sciences

Explanation Canvas

All details of the course will be published on the Canvas page.

Recommended background knowledge

Knowledge of programming, statistics, qualitative and quantitative
research methods, and requirements engineering is recommended.