KU Leuven

/KU Leuven
KU Leuven 2018-06-06T13:30:06+00:00
KU Leuven, founded in 1425, is Belgium’s largest university. It is a full university with 16 faculties organised in 3 groups: Humanities & Social Sciences; Science, Engineering & Technology and Biomedical Sciences. Following the integration of the Associations’ University Colleges in October 2013, KU Leuven counts about 55.500 students of which about 8.400 are international.
As a leading European research university, KU Leuven offers a wide variety of academic programs in Dutch and English, nurtured by high quality interdisciplinary research, both at the university and at its internationally acclaimed university hospitals. The University has an annual research spending of over 420 million euro and more than 8.600 researchers from over 120 countries participate in curiosity-driven and strategic frontier research, as well as targeted and demand-driven research. KU Leuven research has a strong international reputation with a participation in about 640 projects of the FP7 & H2020 framework, making it the 6th ranked in the league of HES institutions participating in the Program.

The “Human-Computer Interaction” (http://hci.cs.kuleuven.be/) (HCI) group is part of the Computer Science department of KU Leuven and focuses on how people interact with information, relying on language technology (including text and multimedia mining), visualisation and computer graphics. The focus is on how technology can add value to the way that we learn, experience music, carry out research, interact with cultural heritage, manage our health, etc. Important topics include information visualization, dashboard applications, mobile and tabletop computing and ‘quantified self’. The aim of our work is to support awareness, (self) reflection, sense making and feedback loops.

KU Leuven/HCI has extensive technical expertise that is related to this proposal:

– learning analytics: Increasing motivation of students and helping them to reflect on their learning processes is an important driver for our learning analytics research. We deploy information visualisation techniques for the development of dashboards for learners ( both on mobile and desktop, as well as tabletop devices). The goal is to enable self-reflection and awareness.

– information visualisation: we deploy information visualization techniques for the development of dashboards for (non-) professionals (both on mobile and desktop, as well as tabletop devices). The goal is to enable (self-)reflection and awareness in big data sets.

– mobile devices and their affordances: In this context, we are generally interested in how mobile technologies can assist to remove friction between users and information. More specifically, we research how social networks be leveraged in mobile technologies to enable professional users (e.g. general physicians) to be aware of their own activities and those of their peers.

– user interface design in general with a focus on usability and usefulness, through iterative user-centered design and rapid prototyping (from lo-fi to hi-fi to fully functioning prototypes)