Publications

Klieme, E., Engelbrecht, K.-P. and Möller, S. (2014). Poster: Towards Continuous Authentication Based on Mobile Messaging App Usage [11]. 2014 Symposium On Usable Privacy and Security (SOUPS 2014)

Hinterleitner, F., Zander, S., Engelbrecht, K.-P. and Möller, S. (2015). On the Use of Automatic Speech Recognizers for the Quality and Intelligibility Prediction of Synthetic Speech [14]. Proc. of the 26th Konferenz Elektronische Sprachsignalverarbeitung (ESSV), Eichstätt, Germany. TUDpress, 105–111.

Hillmann, S. and Engelbrecht, K.-P. (2013). Aufgabenmodellierung in der Simulation von Interaktionen mit Sprachdialogsystemen [16]. Elektronische Sprachsignalverarbeitung 2013. TUDpress, 20–27.

Hillmann, S. and Engelbrecht, K.-P. (2015). Modelling Goal Modifications in User Simulation [19]. Proc. of Future and Emerging Trends in Language Technology (FETLT 2015). Springer.

Hillmann, S., Engelbrecht, K.-P. and Möller, S. (2015). ITG-Richtlinie zur Messung und Bewertung der Usability in Smart Home-Umgebungen [20]. VDE-Dialog, ITG-News. VDE-Verlag, 28.

Hillmann, S., Engelbrecht, K.-P. and Weiss, B. (2019). Semi-Automatische Generierung Und Reinforcement Learning Basiertes Training Eines Dialogmanagers [21]. Elektronische Sprachsignalverarbeitung 2019, 34–41.

Halbrügge, M., Quade, M. and Engelbrecht, K.-P. (2016). Cognitive Strategies in HCI and Their Implications on User Error [23]. Proceedings of the 38th Annual Meeting of the Cognitive Science Society. Cognitive Science Society, 2549–2554.

Halbrügge, M., Quade, M., Engelbrecht, K.-P., Albayrak, S. and Möller, S. (2016). Predicting User Error for Ambient Systems by Integrating Model-based UI Development and Cognitive Modelling [25]. UbiComp`16. Proc. of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, 13.

Halbrügge, M. and Engelbrecht, K.-P. (2014). An activation-based model of execution delays of specific task steps [27]. Cognitive Processing. Springer, S107-S110.

Halbrügge, M. and Engelbrecht, K.-P. (2015). Können Nutzer im Usability-Labor zwischen Interface-Varianten unterscheiden? Zwei Fallbeispiele aus dem Smart Home [29]. 11. Berliner Werkstatt Mensch-Maschine-Systeme. Technische Universität Berlin, 25–30.

Halbrügge, M., Quade, M. and Engelbrecht, K.-P. (2015). A Predictive Model of Human Error based on User Interface Development Models and a Cognitive Architecture [31]. Proceedings of the 13th International Conference on Cognitive Modeling. University of Groningen, 238–243.

Halbrügge, M., Quade, M. and Engelbrecht, K.-P. (2015). How can Cognitive Modeling Benefit from Ontologies? Evidence from the HCI Domain [33]. AGI 2015. Springer, 261–271.

Gong, X. G. and Engelbrecht, K.-P. (2013). The influence of user characteristics on the quality of judgment prediction models for tablet applications [35]. Grundlagen und Anwendungen der Mensch-Maschine-Interaktion. 10. Berliner Werkstatt Mensch-Maschine-Systeme. Universitätsverlag TU Berlin, 197–203.

Gödde, F., Möller, S., Engelbrecht, K.-P., Kühnel, C., Schleicher, R., Naumann, A. and Wolters, M. (2008). Study of a Speech-based Smart Home System with Older Users [38]. Proceedings of the International Workshop on Intelligent User Interfaces for Ambient Assisted Living (IUI4AAL 2008). Frauenhofer IRB Verlag, 17–22.

Engelbrecht, K.-P., Ketabdar, H. and Möller, S. (2010). Improving Cross Database Prediction of Dialogue Quality Using Mixture of Experts [40]. Proceedings of Interspeech 2010. ISCA, 1337–1340.