About

vpammer-foto-small

Viktoria Pammer-Schindler

I am assistant professor at the Institute of Interactive Systems and Data Science of Graz University of Technology and Area Manager  at the Know-Center.

I am interested in: Technologies for Reflection, Designing for (Lifelong) Workplace Learning, Socio-Technical Design, Activity Theory, and Artificial Intelligence and Ubiquitous Computing Technologies as enablers for learning and human activity.

ResearchTeachingContact

Research – Designing for Lifelong and Workplace Learning, and other Knowledge-Intensive Activities

I study how technology works as a tool in goal-directed activities. Mostly, I study learning, but I also study other knowledge-intensive activities. Typically, my research is set in an organisational context. I understand my work as 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. Technologies I am currently interested in are data-driven and artificial intelligence technologies, and ubiquitous computing technologies.

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. IEEE Transactions on Learning Technologies, Vol 10/4, pp 488-501, 2017. DOI: https://doi.org/10.1109/TLT.2017.2708097  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 DOI: https://doi.org/10.1145/3014058
  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. https://graz.pure.elsevier.com/en/publications/lets-talk-about-reflection-at-work
  4. Viktoria Pammer, Marina Bratic, Sandra Feyertag & Nils Faltin. The Value of Self-Tracking and the Added Value of Coaching in the Case of Improving Time Management. In: Design for Teaching and Learning in a Networked World, Proceedings of the10th European Conference on Technology Enhanced Learning (ECTEL 2015), pp.467-472, 2015. DOI: 10.1007/978-3-319-24258-3_41
  5. Viktoria Pammer, Marina Bratic. Surprise, Surprise: Activity Log Based Time Analytics for Time Management. 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI ’13, Paris, France, April 27 – May 2, 2013, Extended Abstracts. DOI: 1145/2468356.2468395

Full list of Publications

See also my research profiles at Google Scholar, at ResearchGate, and my OrcID.

Current Research Streams:

  • Virtualising face-2-face trainings for professionals – with Stefan Thalmann and Angela Fessl, in the ongoing H2020 MOVING project, and in an upcoming project on digitalising vocational training.
  • Designing for reflective learning – with Michael Prilla; and with Angela Fessl and Stefan Thalmann in the ongoing H2020 MOVING project.
  • Using representations of nature in human-computer interaction to support human wellbeing on top of providing immediate utility, together with Carla Barreiros and Eduardo Veas.
  • 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.
  • Understanding socio-technical practice on balancing knowledge sharing and protection needs in intra-organisational research collaboration – with Rene Kaiser and Stefan Thalmann in the ongoing  ECSEL Semi 4.0 project.

Past Research Streams:

  • Technology-Enhanced Learning:
    • I have worked on computer-supported reflective learning in the workplace together with Michael Prilla, Birgit Krogstie and Angela Fessl and many others  within the EU FP7 project MIRROR (rated an excellent project)
    • I have been working in the EU project 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 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).

Teaching

Ongoing Lectures (next lectures in summer term 2019):

  • Designing Interactive Systems SS 2019: TUGOnline, Course Website
  • Introduction to Knowledge Technologies SS 2019: TUGOnline

Open Theses

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 – Using a Contextual Design Approach
  • Exploring Digital Traces as Representations of Learning Objects
  • Chatbots for Learning how to Search
  • 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
  • What’s this? Explaining Technology in Context

Ongoing Theses:

PhD

  • Michael Fruhwirth – Designing for Data-Driven Business Model Innovation in the Automative Industry
  • Carla Barreiros – Trees and Forests as Natural Metaphor to Represent Complex Sensor Data (co-supervision with Eduardo Veas)

Master

  • 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

Closed Theses:

PhD

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

Master

  • Armin Köfler, 2017 – Verbesserung des Lagebewusstseins und der Maßnahmenergreifung bei der Sicherung von Großveranstaltungen (Extended abstract at i-Know 2017 Workshop on Data-Driven Decision Support in Digitized Work Environments, journal paper accepted at deGruyter information technology)
  • Sabine Lukas, 2017 – Prozessoptimierung auf Basis eines Multi-Level Management Systems für Waldbrandszenarien (Paper at i-Know 2017 Workshop on Data-Driven Decision Support in Digitized Work Environments)
  • Dominik Widnig, 2017 – Geo Heroes – a location based mixed reality game (Youtube Video of the game)
  • Andreas Müller, 2017 – Learning in online communities in the case of StarCraft
  • Christofer Öjeling, 2016 – Physical Sokoban. An augmented reality game. A paper was presented at ISMAR. The thesis was supervised by myself at the Know-Center, while the thesis was formally supervised at Chalmers University of Technology and University of Gothenburg, examined by Graham Kemo and supervised by K.V.S. Prasad.
  • 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].
  • Alfred Wertner, 2014 – Stress Prediction for Knowledge Workers based on PC Activity and Noise Level

In the past, I held the following lectures:

Contact:

  • TUGraz Online card – my official contact site at Graz University of Technology
  • Twitter – regular activity
  • WordPress site – occasional blogs, overview of my research and teaching activities, and list of publications
Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s