Department of Information and Computing Sciences

Departement Informatica Onderwijs
Bachelor Informatica Informatiekunde Kunstmatige intelligentie Master Computing Science Game&Media Technology Artifical Intelligence Human Computer Interaction Business Informatics

Onderwijs Informatica en Informatiekunde

Vak-informatie Informatica en Informatiekunde

Adaptive interactive systems

Course code:INFOMAIS
Credits:7.5 ECTS
Period:period 1 (week 36 through 45, i.e., 2-9-2019 through 8-11-2019; retake week 1 (bachelor) / 2 (master))
Participants:up till now 85 subscriptions
Schedule:Official schedule representation can be found in Osiris
lecture          Judith Masthoff
Ioanna Lykourentzou
Federica Vinella
Contents:This course is about the design and evaluation of interactive systems that automatically adapt to users and their context. It discusses the layered design and evaluation of such systems. It shows how to build models of users, groups and context, and which characteristics may be useful to model (including for example preferences, ability, personality, affect, inter-personal relationships). It shows how adaptation algorithms can be inspired by user studies. It covers standard recommender system techniques such as content-based and collaborative filtering, as well as research topics such as person-to-person recommendation, task-to-person recommendation, and group recommendation. It also discusses explanations for adaptive interactive systems and usability issues (such as transparency, scrutability, trust, effectiveness, efficiency, satisfaction, diversity, serendipity, privacy and ethics). The course content will be presented in the context of various application domains, such as personalized behaviour change interventions, personalized news, and personalized e-commerce.
Literature:The literature consists of scientific articles. A literature list is provided via Blackboard on a weekly basis. In addition, you will need to find articles related to your assignment topic.
Course form:This course has two 2-hour slots a week. These will contain lectures as well as hands-on sessions in which the material of the course is applied to problems.
Exam form:This course is assessed via course work assignments only. There is no exam. Details on the assignments is provided in Blackboard.
Minimum effort to qualify for 2nd chance exam:To be allowed to resit this course, the original course mark should be at least 4.