Viktoria Pammer-Schindler


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6578 I am assistant professor at Graz University of Technology, Institute of Interactive Systems and Data Science; and research area manager at the Know-Center, Austria’s competence center for Data-Driven Business and Big Data Analytics.

Research – Designing for Workplace Learning and Data-Driven Business

I am interested in how technology works as a tool in goal-directed activities (mostly in the social context of organisations); and in designing socio-technical interventions, i.e. technology together with its pattern of use. As research approach, I typically use user-centered design/co-design/contextual design and design thinking procedures and methods; an influential background theory in my work is activity theory.

Selected Publications

  1. Angela Fessl, Gudrun Wesiak, Veronica Rivera-Pelayo, Sandra Feyertag, Viktoria Pammer. In-app Reflection Guidance: Lessons Learned across Four Field Trials at the Workplace. Accepted for publication in: IEEE Transactions on Learning Technologies, 2017. IF=2,267
  2. Veronica Rivera-Pelayo, Angela Fessl, Lars Müller, Viktoria Pammer. Introducing Mood Self-Tracking at Work: Empirical Insights from Call Centers. ACM Trans. Comput.-Hum. Interact., ACM, 2017, 24, 3:1-3:28. IF=1.293
  3. Viktoria Pammer, Birgit Krogstie, Michael Prilla. Let’s Talk About Reflection at Work. International Journal of Technology Enhanced Learning, Vol 9, No 2/3, 2017.
  4. Viktoria Pammer, Barbara Kump and Stefanie Lindstaedt. Tag-based Algorithms Can Predict Human Ratings of which Objects a Picture Shows. In Multimedia Tools and Applications, 2012. Vol 59, Issue 2, pp. 441-462. DOI: 10.1007/s11042-011-0761-x (IF=1.346)
  5. Stefanie Lindstaedt, Roland Mörzinger, Robert Sorschag, Viktoria Pammer and Georg Thallinger. Automatic image annotation using visual content and folksonomies. In Multimedia Tools and Applications, pages 97-113, volume 42/1, Hingham, MA, USA, 2009. (IF=1.346)

Current Research Streams:

  • Enhancing the learning experience around f2f trainings with learning technology .
  • Comparing virtual and classroom trainings – with Stefan Thalmann and Angela Fessl, in the context of the H2020 MOVING project.
  • Designing for reflective learning – with Michael Prilla from the Technical University Clausthal, and with Angela Fessl and Stefan Thalmann in the context of the H2020 MOVING project.
  • Understanding socio-technical practice on balancing knowledge sharing and protection needs in intra-organisational research collaboration – with Rene Kaiser and Stefan Thalmann in the context of the ECSEL Semi 4.0 project.
  • Designing for identifying business model opportunities based on data – with Gert Breitfuss and Michael Fruhwirth in the context of my research area at the Know-Center.

Past Research Streams:

  • Technology-Enhanced Learning:
    • I have been working in the EU projects APOSDLE with Stefanie Lindstaedt, Luciano Serafini, Chiara Ghidini, Marco Rospocher, Tobias Ley and Barbara Kump, where I have delved into semantic technologies and supporting non-semantic technology experts in developing formal knowledge models.
    • In MIRROR (rated an excellent project) with Michael Prilla, Birgit Krogstie and Angela Fessl and many others on these topics.
    • In the EU H2020 project MoreGrasp I have developed the concept of a physical Sokoban to help spinal cord injury patients learn to use a complex interactive system (implemented by Christofer Öjeling and Granit Luzhnica, see Master thesis of Christofer Öjeling and the paper Luzhnica et al., 2016).
    • I have worked on using semantic technologies and Web 2.0 technologies on semi-automatic tagging (Lindstaedt et al., 2009; Pammer et al., 2012).
  • Hybrid Tag Recommenders
    • I have been working together with Barbara Kump, Tobias Ley, and Roland Mörzinger and Robert Sorschag on tag recommenders that combine semantic technologies (WordNet), Web 2.0 technologies (prior tags) and image classification (Pammer et al., 2012; Lindstaedt et al., 2009).

Full list of Publications

My h-index according to Google Scholar is 16.

This is my full CV.


If you are interested in doing a bachelor thesis, master project, or master thesis with me, please contact me. The topics are along my above research interests. When doing a thesis with me,  you should be interested in technologies in the context of human activities, and in organisational context. The below topics can mostly be done at the level of bachelor thesis, master project, or master thesis.

  • Representing the Effect of Health-Related Daily Activities via an Avatar
  • Enabling Good Time Use and Management
  • Exploring Digital Traces as Representations of Learning Objects
  • Chatbots for Learning how to Search
  • E-Learning Games in Moodle for Acquiring (German) Language Reading and Comprehension Competence
  • Learning Analytics – Exploring an Open Source Learning Analytics Tools in Connection with Moodle
  • Forest Visualisation of Knowledge Base Usage to Support Knowledge Base Maintenance
  • Connecting Physical and Digital Reality – Going Back and Forth from Paper-based Questionnaires and Digital Representation/Analysis


Ongoing Theses:


  • Carla Barreiros – Trees and Forests as Natural Metaphor to Represent Complex Sensor Data (co-supervision with Eduardo Veas)
  • Granit Luzhnica – Haptic Display (co-supervision with Eduardo Veas)


  • Anna Weber – Location-based private and shared sensing using the example of urban mood tracking
  • Jörg Simon – Gesture detection with a SmartGlove or with wrist-worn inertia sensors
  • Andreas Müller – Learning in online communities in the case of StarCraft

Closed Theses:


  • Angela Fessl – In-App Reflection Guidance for Workplace Learning (short version published in IEEE Transactions on Learning Technologies)


  • Dominik Widnig, 2017 – Geo Heroes – a location based mixed reality game
  • Sabine Lukas, 2017 – Prozessoptimierung auf Basis eines Multi-Level Management Systems für Waldbrandszenarien
  • Armin Köfler, 2017 – Verbesserung des Lagebewusstseins und der Maßnahmenergreifung bei der Sicherung von Großveranstaltungen
  • PhD – Angela Fessl, 2016 – In-App Reflection Guidance at Work
  • Markus Perndorfer, 2015 – Detecting social interactions via mobile sensing [pdf in TUGOnline]. Download the (anonymised) mobile phone sensing data that Markus collected as part of his master thesis [dataset].
  • Martin Daum, 2015 – Locating lost items using pedestrian dead reckoning on smartphones [pdf in TUGOnline].

Current Lectures:

  • Designing Interactive Systems SS 2018: TUGOnline, Course Website (upcoming)
  • Introduction to Knowledge Technologies SS 2018: TUGOnline, Course Website (upcoming)

In the past, I gave the following courses: