ELEC-E7851 Computational User Interface Design (5 cr, PII)
Computational interaction focuses on the use of algorithms and mathematical models to explain and enhance human-computer interaction. Interest toward computational approaches to interaction is rapidly increasing with the popularity of AI and machine learning. Computational interaction involves formal representations of design spaces in order to understand them and identify solutions with desirable properties. It involves constructing predictive models that can estimate the expected value of a design and adapt it accordingly. While there are numerous approaches to computational interaction, they all share a commitment to defining computational models of the nature and processes of interaction itself. These models can drive design and decision-making. Computational interaction draws from a long tradition in human factors engineering, cognitive modeling, artificial intelligence and machine learning, information theory, design optimization, formal methods, and control theory.
The course offers a solid introduction to human-computer interaction for students who seek principled understanding of the topic. It introduces computational principles and core models of interaction for students with computational and engineering background. Students learn to formulate design problems and derive solutions by analysis, simulation, and optimization. Application areas cover the most widely used interfaces, including buttons, keyboards, menus, displays, visualizations, input methods, audio and multimedia systems, graphical user interfaces, hypertext etc.Understanding of computational and model-based approaches to user interface design; Knowledge of major predictive models and theories in human-computer interaction; Ability to formulate and solve realistic user interface design problems using formal and computational approaches.
New in 2017Course contents have been revised based on materials presented at the 3rd ACM SIGCHI Summer School on Computational Interaction and an upcoming book on Computational Interaction (Oxford University Press, 2018).
Prof. Antti Oulasvirta and guest lecturers: Dr. Sunjun Kim, Dr. Jussi Jokinen, Dr. Niraj Dayama, MSc Janin Koch, MSc Anna Feit.
Teaching assistant: Viet Ba Mai
Lectures; Assignments solved with Python or Matlab (both used during the course, but emphasis is on Python); Assigned readings; Exam
Mandatory programming languages: Python and Matlab. Assignments require familiarity with some general concepts of computer science and basic mathematics. We also recommend (but do not require) a previous course on human-computer interaction, such as CS-C3210 Human-Computer Interaction or ELEC-E7890 User Research.
Grading is based on points earned in assignments and exam. See "Course Organization" for more details. Note that due to the type of teaching and materials, participation in lectures is mandatory. A maximum of 3 lectures can be skipped.
The maximum number of students is limited. Students of the University of Helsinki are welcome join the course but are asked to contact the teacher in advance.