Intelligent User Interfaces – HCI meets AI

Summer Term 2016 > Start Monday, March, 7, 2016, 14h IDEG 134 IICM Seminarraum Inffeldgasse 16c

Human-Computer Interaction meets Artificial Intelligence

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

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]


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)

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%)


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!).

Mo 07.03.201614:00 to 18:00IDEG13401 Introduction and presentation of cool mini-projects by the tutors
Mo 14.03.201614:00 to 18:00IDEG13402 Presenting the mini-project goals by the groups – to ensure mutual understanding
Mo 11.04.2016
14:00 to 18:00IDEG13403 Progress Meeting – presenting the mini project status
Mo 23.05.201614:00 to 18:00IDEG13404 Progress Report presentation – mid term review
Mo 20.06.201614:00 to 18:00IDEG13405 Mini Conference – final presentation
General guidelines for the scientific paper

Holzinger, A. (2010). Process Guide for Students for Interdisciplinary Work in Computer Science/Informatics. Second Edition. Norderstedt: BoD (128 pages, ISBN 978-3-8423-2457-2)

also available at Fachbibliothek Inffeldgasse.

Scientific paper templates

Please use the following templates for your scientific paper:

(new) A general LaTeX template can be found on overleaf >

Further information and templates available at: Springer Lecture Notes in Computer Science (LNCS)

Some pointers to interesting sources in intelligent HCI: