TU Berlin

Cognitive Modeling in dynamic Human-Machine SystemsLennart Arlt


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Lennart Arlt


Master's Student



Marchstr. 23

10587 Berlin

Room: MAR 3.039



Consultation hours: on appointment



I am interested in the modeling of the human visual search behavior and the processes of visual attention. As part of my master thesis I am concerned with the cognitive modeling of an icon search task with differing stimulus similarity and homogeneity on mobile touch devices. The goal is to provide a model that is able to capture data from a conducted experiment more accurately than a previous reported model. The resulting model can act as a template for modelers and designers who are interested in efficient predictions of search times for visuals search task on touch devices.


(Research) Interests

  • modeling of visual search behavior on touch devices
  • eyetracking in human machine systems
  • usability research
  • intuitive user interfaces



  • Human Factors (M.Sc.) at the Technische Universität Berlin, Berlin, 2017
  • Mensch-Maschine-Systeme (B.Sc.) at the Julius-Maximilians-Universität, Würzburg, 2014




Lindner, S., Arlt, L. and Russwinkel, N. (2018). Comparing Models of Visual Search in Heterogeneous Search Fields. In I. Juvina, J. Houpt, & C. Myers (Eds.), Proceedings of the 16th International Conference on Cognitive Modeling, p. 63-68. Link to original publication

Lindner, S., Russwinkel, N., Arlt, L., Neufeld, M. and Schattenhofer, L. (2017). Modeling of Visual Search and Influence of Item Similarity. In M. van Vugt, A. Banks & W. Kennedy (Eds.), Proceedings of the 15th International Conference on Cognitive Modeling, p. 164-168. Link to publication Link to original publication

Löffler, D., Arlt, L., Toriizuka, T., Tscharn, R. and Hurtienne, J. (2016). Substituting Color for Haptic Attributes in Conceptual Metaphors for Tangible Interaction Design. In Proceedings of the TEI '16: Tenth International Conference on Tangible, Embedded, and Embodied Interaction, p. 118-125. Link to original publication


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