C01 | Quantifying Interaction

Prof. Harald Reiterer, University of Konstanz
Email | Website

Harald Reiterer

Prof. Albrecht Schmidt, LMU
Email | Website

Albrecht Schmidt

Daniel Klinkhammer, University of Konstanz – Website | Email

Johannes Zagermann, University of Konstanz – Website | Email

The main goal of this project is the definition and validation of new quantitative measurements to evaluate the interaction with visual computing systems. This includes the development of new quantitative models, metrics, and tasks to unify usability test settings as well as the integration of the theoretical and methodological findings into a framework to evaluate interaction. To this end, we will collect and develop a set of tools to ease planning, conduction, analysis, and comparison of replicable quantitative experiments in visual computing systems.

Research Questions

What kind of atomic and compound tasks, models, and metrics are suitable for evaluating the interaction with visual computing systems?

How can we find a good trade-off between their predictive power for specialized application tasks and their general applicability (e.g. their relation to atomic tasks and metrics)?

What kind of heuristics would be appropriate to tightly couple the compound tasks and metrics with specific characteristics of interaction devices and techniques?

What are appropriate software architectures for an evaluation environment?

What tools are necessary to support the integration for tasks and metrics designed within the project?

What tools support the ad-hoc evaluation as well as the integration of heuristics in (semi-) automated evaluations?

Fig. 1: Interacting with physical tokens.

Fig. 2: Model of the theoretical evaluation framework and Toolbox.


  1. J. Zagermann, U. Pfeil, C. Acevedo, and H. Reiterer, “Studying the Benefits and Challenges of Spatial Distribution and Physical Affordances in a Multi-Device Workspace,” in In Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia (MUM)´, 2017.
  2. J. Zagermann, U. Pfeil, and H. Reiterer, “Studying Eye Movements As A Basis For Measuring,” In Proceedings of the 36th annual ACM conference on Human factors in computing systems (CHI ’18 Extended Abstracts), 2018.
  3. J. Zagermann, U. Pfeil, D. Fink, P. von Bauer, and H. Reiterer, “Memory in Motion: The Influence of Gesture- and Touch-Based Input Modalities on Spatial Memory,” 2017.
  4. L. Lischke, S. Mayer, K. Wolf, N. Henze, H. Reiterer, and A. Schmidt, “Screen arrangements and interaction areas for large display work places.,” vol. Proceedings of the 5th ACM International Symposium on Pervasive Displays PerDis 2016, pp. 228–234, 2016.
  5. J. Zagermann, U. Pfeil, and H. Reiterer, “Measuring Cognitive Load using Eye Tracking Technology in Visual Computing,” 2016, vol. Proceedings of the Sixth Workshop on Beyond Time and Errors on Novel Evaluation Methods for Visualization (BELIV 2016), pp. 78–85.
  6. D. Jäckle, F. Stoffel, S. Mittelstädt, D. A. Keim, and H. Reiterer, “Interpretation of Dimensionally-Reduced Crime Data: A Study with Untrained Domain Experts.,” in Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Best Student Paper Award, 2017, no. 3, pp. 164–175.
  7. J. Müller, R. Rädle, and H. Reiterer, Virtual Objects as Spatial Cues in Collaborative Mixed Reality Environments: How They Shape Communication Behavior and User Task Load. ACM, 2016.
  8. J. Zagermann, U. Pfeil, R. Rädle, H.-C. Jetter, C. Klokmose, and H. Reiterer, “When Tablets meet Tabletops: The Effect of Tabletop Size on Around-the-Table Collaboration with Personal Tablets.,” 2016.