LV 706.046 Selected Topics of HCI: Intelligent UI

Human-Computer Interaction meets Artificial Intelligence

[AK HCI, 16S, 706.046, 3 VU, 4,5 ECTS > TUG-Online]

Intelligent User Interfaces (IUI) is where the Human-computer interaction (HCI) meet Artificial Intelligence (AI), often defined as the design of intelligent agents – the core essence in Machine Learning (ML). In interactive Machine Learning (iML) this agents can also be humans:

Holzinger, A. 2016. Interactive Machine Learning for Health Informatics: When do we need the human-in-the-loop? Springer Brain Informatics (BRIN), 3, (2), 119-131, doi:10.1007/s40708-016-0042-6.

Holzinger, A. 2016. Interactive Machine Learning (iML). Informatik Spektrum, 39, (1), 64-68, doi:10.1007/s00287-015-0941-6.

In this practically oriented course, Software Engineering is seen as dynamic, interactive and cooperative process which facilitate an optimal mixture of standardization and tailor-made solutions.

Previous knowledge expected

Interest in experimental Software Engineering in the sense of:
Science is to test crazy ideas – Engineering is to put these ideas into Business.

Interest in cross-disciplinary work, particularly in the HCI-KDD approach: Many novel discoveries and insights are found at the intersection of two domains, see: A. Holzinger, “Human–Computer Interaction and Knowledge Discovery (HCI-KDD): What is the benefit of bringing those two fields to work together?“, in Multidisciplinary Research and Practice for Information Systems, Springer Lecture Notes in Computer Science LNCS 8127, A. Cuzzocrea, C. Kittl, D. E. Simos, E. Weippl, and L. Xu, Eds., Heidelberg, Berlin, New York: Springer, 2013, pp. 319-328.  [DOI] [Download pdf]

Objective

After successful completion of this course:

• Students are autonomously able to apply a selection of the most important scientific HCI methods and practical methods of UE
• Students understand the most essential problems which End-Users are faced in our modern, complex and dynamic environment
• Students are able to apply the most important experimental designs
• Students learn to deal with the problems in modern user interface design
• Students are able to conduct elementary research experiments and carry out solid evaluations in HCI research

Focus 2016

This year, the Holzinger group offers a selection of interesting topics for mini projects:

• Tumor-Growth Simulation and Visualization (Supervisor Fleur JEANQUARTIER)
• Privacy and Open Data with the doctor-in-the-loop  (Supervisor Peter KIESEBERG)
• Eye-Tracking and applications (Supervisor Markus FASSOLD)
• Image Augmentation for Machine Learning  (Supervisor Marcus BLOICE)
• 3D->2D data modelling in Archaeology (Supervisor Tobias SCHRECK, CGV & Paul BAYER, KFUG Archeology)
• Towards experimental evidence for interactive ML (Supervisor Andreas HOLZINGER)

Grading

1. One scientific paper per group (50 %)
2. Project presentations during the semester – EVERY student of a group has to present one part of the work! (50%)

Schedule

Basically this VU is a very practice-led course, and therefore the majority of the work will take place at home or in the field (field work with end-users). The room is reserved from 14:00 to 18:00, but that does not mean that we always need the full time! We start on Monday 07.03.2016 at 14:00 (Room IDEG134, Inffeldgasse 16c). Please make sure you are on time that day, as we will be presenting the projects (first come, first served!).