Beyond Heatmaps: Evaluating LIME Visualizations for Human Understandability
M. Halbrügge, T. Jungeblut, in: Gesellschaft für Kognitionswissenschaft (Ed.), KogWis 2025. 16th Biannual Conference of the German Cognitive Science Society., 2025.

Statistical Learning of Daily Routines in the Smart Home for Privacy-Preserving Assisted Living
M. Halbrügge, T. Jungeblut, in: KI@HSBI 2025 - Zukunft Im Fokus, 2025, pp. 13–14.

AQ-Shuttle: Eine Studie über autonome Quartiers-Shuttle mit Mobilstation in Bielefeld
A. Kaan, B. Eris, M. Halbrügge, T. Jungeblut, R. Naumann, M. Ottemeyer, R. Öztürk, A. Pascanovic, in: 2025, pp. 2–3.

Digitaler Bahnhof Minden: Künstliche Intelligenz für den Bahnhof der Zukunft
H. Attaullah, M. Halbrügge, R. Naumann, T. Jungeblut, in: 2025, pp. 4–5.

Autonomous District Shuttles for Last-Mile Delivery: Acceptance, Public Requirements, and Their Role in Urban Development
J. Kwossek, B. Eris, M. Bollien, M. Stegemann, K. Altun, M. Halbrügge, T. Jungeblut, S. Meyer, A. Pascanovic, in: HUMANIST Conference 2025, 2025.

AQ-Shuttle: Autonomous Robots for Last Mile Delivery
J. Kwossek, B. Eris, M. Bollien, K. Altun, A. Pascanovic, M. Halbrügge, M. Stegemann, T. Jungeblut, in: Workshop on Autonomous Delivery and Service Robots on Pedestrian and Cycle Paths, 2025.

A neuroadaptive cognitive model for dealing with uncertainty in tracing pilots' cognitive state
O.W. Klaproth, M. Halbrügge, L.R. Krol, C. Vernaleken, T.O. Zander, N. Russwinkel, Topics in Cognitive Science 12 (2020).

Tracing Pilots’ Situation Assessment by Neuroadaptive Cognitive Modeling
O.W. Klaproth, C. Vernaleken, L.R. Krol, M. Halbrügge, T.O. Zander, N. Russwinkel, Frontiers in Neuroscience 14 (2020).

Predicting User Performance and Errors
M. Halbrügge, Predicting User Performance and Errors, Springer International Publishing, Cham, 2018.

Predicting user error for ambient systems by integrating model-based UI development and cognitive modeling
M. Halbrügge, M. Quade, K.-P. Engelbrecht, S. Möller, S. Albayrak, in: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, ACM, New York, NY, USA, 2016, pp. 1028–1039.

User Experience Measurement of a Static Website Compared to a Responsive Website Using AttrakDiff Mini
A. Fiebig, M. Halbrügge, L. Kraus, in: 2016, pp. 83–86.

The sum of two models: how a composite model explains unexpected user behavior in a dual-task scenario
M. Halbrügge, N. Russwinkel, in: Technische Universität Berlin, 2016.

Towards the evaluation of cognitive models using anytime intelligence tests
M. Halbrügge, in: Technische Universität Berlin, 2016.

How Can Cognitive Modeling Benefit from Ontologies? Evidence from the HCI Domain
M. Halbrügge, M. Quade, K.-P. Engelbrecht, in: J. Bieger, B. Goertzel, A. Potapov (Eds.), Artificial General Intelligence, Springer International Publishing, Cham, 2015, pp. 261–271.

Online Calibration of Gaze Tracking on the Computer Screen using Particle Filtering
M. Halbrügge, in: SAGA - International Workshop on Solutions for Automatic Gaze Data Analysisf: Proceedings, 2015.

Predicting task execution times by deriving enhanced cognitive models from user interface development models
M. Quade, M. Halbrügge, K.-P. Engelbrecht, S. Albayrak, S. Möller, in: Proceedings of the 2014 ACM SIGCHI Symposium on Engineering Interactive Computing Systems, ACM, New York, NY, USA, 2014, pp. 139–148.

Exploration for Understanding in Cognitive Modeling
K. Gluck, C. Stanley, L. Moore, D. Reitter, M. Halbrügge, Journal of Artificial General Intelligence 2 (2010).

Keep it simple - A case study of model development in the context of the Dynamic Stocks and Flows (DSF) task
M. Halbrügge, Journal of Artificial General Intelligence 2 (2010) 38–51.

ACT-R Model for Predicting Performance in the DSF Task
M. Halbrügge, ACT-R Model for Predicting Performance in the DSF Task, Technische Universität Berlin, 2009.