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Mobile Interaction

The goal of the research focus "Mobile Interaction" is to experimentally test, model and evaluate the use of smartphone applications.

Cognitive modeling plays a vital role in the evaluation and improvement of the usability of smartphone apps. On the one hand, the developement and comparison of cognitive models can help to understand cognitive processes that play a role during the use of technical artefacts. On the other hand, established models of user behavior can help to predict the usability of new apps in early phases of their developement.

One research aspect within this context deals with typical challenges arising with the use of apps, such as disruptions or distractions, both resulting from external environmental influences or smartphone- and app-specifica.

Another research focus deals with the question how certain structural and design decision regarding a smartphone app can influence user expectations, attitudes and behavior.

 

Team Mobile Interaction

Nele Rußwinkel

Sabine Prezenski

Stefan Lindner

Lisa-Madeleine Dörr

Dominik Brüchner

 

Finished Theses

 

 

ACT-Droid: ACT-R interacting with Android Applications

Lupe

 

Download current version of ACT-Droid here or from depositonce

 

 

 

Project-related Publications

Russwinkel, N., Prezenski, S., Lindner, S., Halbrügge, M., Schulz, M. and Wirzberger, M. (2014). Modeling of cognitive aspects of mobile interaction. Cognitive Processing, 15(Suppl. 1), S22-S24. . doi: 10.1007/s10339-014-0632-2 (Symposium im Rahmen der KogWis 2014) Link to publication


Wirzberger, M. and Russwinkel, N. (2014). "I don't need it" - Modeling ad-induced interruption while using a smartphone-app. Vortrag auf der Crosswolds 2014: Theory, Development and Evaluation of Social Technology, Technische Universität Chemnitz.


Wirzberger, M. (2014). Smart@load? Modeling interruption while using a Smartphone-app under alternating workload conditions (Masterarbeit). Technische Universität Berlin, Berlin.


Lindner, S. and Russwinkel, N. (2013). Modeling of expectations and surprise in ACT-R. In West, R. and Stewart, T. (Eds.), Proceedings of the 12th International Conference on Cognitive Modeling (ICCM 2013) (pp. 161-166), Ottawa, Canada: Carleton University. Link to publication Link to original publication


Lindner, S. (2012). A cognitive modeling approach to surprise (Masterarbeit). Technische Universität Berlin, Berlin.


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