19 Publikationen
2025 | Konferenzbeitrag | FH-PUB-ID: 6204 | 
Attaullah H, Halbrügge M, Naumann R, Jungeblut T. Digitaler Bahnhof Minden: Künstliche Intelligenz für den Bahnhof der Zukunft. In: ; 2025:4-5. doi:10.60802/sidas.2025.2
HSBI-PUB
| DOI
| Download (ext.)
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6175
Halbrügge M, Jungeblut T. Beyond Heatmaps: Evaluating LIME Visualizations for Human Understandability. In: Gesellschaft für Kognitionswissenschaft, ed. KogWis 2025. 16th Biannual Conference of the German Cognitive Science Society. ; 2025.
HSBI-PUB
2025 | Konferenzbeitrag | FH-PUB-ID: 6206 |
Kwossek J, Eris B, Bollien M, et al. AQ-Shuttle: Autonomous Robots for Last Mile Delivery. In: Workshop on Autonomous Delivery and Service Robots on Pedestrian and Cycle Paths. ; 2025.
HSBI-PUB
| Download (ext.)
2025 | Konferenzbeitrag | FH-PUB-ID: 6205
Kwossek J, Eris B, Bollien M, et al. Autonomous District Shuttles for Last-Mile Delivery: Acceptance, Public Requirements, and Their Role in Urban Development. In: HUMANIST Conference 2025. ; 2025.
HSBI-PUB
2025 | Konferenzbeitrag | FH-PUB-ID: 6202 |
Halbrügge M, Jungeblut T. Statistical Learning of Daily Routines in the Smart Home for Privacy-Preserving Assisted Living. In: KI@HSBI 2025 - Zukunft Im Fokus. ; 2025:13-14. doi:10.60802/sidas.2025.2
HSBI-PUB
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2025 | Konferenzbeitrag | FH-PUB-ID: 6203 |
Kaan A, Eris B, Halbrügge M, et al. AQ-Shuttle: Eine Studie über autonome Quartiers-Shuttle mit Mobilstation in Bielefeld. In: ; 2025:2-3. doi:10.60802/sidas.2025.2
HSBI-PUB
| DOI
| Download (ext.)
2020 | Artikel | FH-PUB-ID: 4336
Klaproth OW, Vernaleken C, Krol LR, Halbrügge M, Zander TO, Russwinkel N. Tracing Pilots’ Situation Assessment by Neuroadaptive Cognitive Modeling. Frontiers in Neuroscience. 2020;14. doi:10.3389/fnins.2020.00795
HSBI-PUB
| DOI
2020 | Artikel | FH-PUB-ID: 4335
Klaproth OW, Halbrügge M, Krol LR, Vernaleken C, Zander TO, Russwinkel N. A neuroadaptive cognitive model for dealing with uncertainty in tracing pilots’ cognitive state. Topics in Cognitive Science. 2020;12. doi:10.14279/DEPOSITONCE-11280
HSBI-PUB
| DOI
2018 | Fachbuch | FH-PUB-ID: 4337
Halbrügge M. Predicting User Performance and Errors. Cham: Springer International Publishing; 2018. doi:10.1007/978-3-319-60369-8
HSBI-PUB
| DOI
2016 | Kurzbeitrag Konferenz | FH-PUB-ID: 4350
Halbrügge M. Towards the evaluation of cognitive models using anytime intelligence tests. In: Technische Universität Berlin; 2016. doi:10.14279/DEPOSITONCE-5529
HSBI-PUB
| DOI
2016 | Konferenzbeitrag | FH-PUB-ID: 4349
Halbrügge M, Russwinkel N. The sum of two models: how a composite model explains unexpected user behavior in a dual-task scenario. In: Technische Universität Berlin; 2016. doi:10.14279/DEPOSITONCE-5530
HSBI-PUB
| DOI
2016 | Konferenzbeitrag | FH-PUB-ID: 4348
Fiebig A, Halbrügge M, Kraus L. User Experience Measurement of a Static Website Compared to a Responsive Website Using AttrakDiff Mini. In: ; 2016:83-86. doi:10.21437/PQS.2016-18
HSBI-PUB
| DOI
2016 | Konferenzbeitrag | FH-PUB-ID: 4308 |
Halbrügge M, Quade M, Engelbrecht K-P, Möller S, Albayrak S. Predicting user error for ambient systems by integrating model-based UI development and cognitive modeling. In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. New York, NY, USA: ACM; 2016:1028-1039. doi:10.1145/2971648.2971667
HSBI-PUB
| Dateien verfügbar
| DOI
2015 | Konferenzbeitrag | FH-PUB-ID: 4352
Halbrügge M. Online Calibration of Gaze Tracking on the Computer Screen using Particle Filtering. In: SAGA - International Workshop on Solutions for Automatic Gaze Data Analysis : Proceedings; 2015. doi:10.2390/BIECOLL-SAGA2015_16
HSBI-PUB
| DOI
2015 | Buchbeitrag | FH-PUB-ID: 4351
Halbrügge M, Quade M, Engelbrecht K-P. How Can Cognitive Modeling Benefit from Ontologies? Evidence from the HCI Domain. In: Bieger J, Goertzel B, Potapov A, eds. Artificial General Intelligence. Lecture Notes in Computer Science. Cham: Springer International Publishing; 2015:261-271. doi:10.1007/978-3-319-21365-1_27
HSBI-PUB
| DOI
2014 | Konferenzbeitrag | FH-PUB-ID: 4353
Quade M, Halbrügge M, Engelbrecht K-P, Albayrak S, Möller S. Predicting task execution times by deriving enhanced cognitive models from user interface development models. In: Proceedings of the 2014 ACM SIGCHI Symposium on Engineering Interactive Computing Systems. New York, NY, USA: ACM; 2014:139-148. doi:10.1145/2607023.2607033
HSBI-PUB
| DOI
2010 | Artikel | FH-PUB-ID: 4355 |
Halbrügge M. Keep it simple - A case study of model development in the context of the Dynamic Stocks and Flows (DSF) task. Journal of Artificial General Intelligence. 2010;2(2):38-51. doi:10.2478/v10229-011-0008-2
HSBI-PUB
| DOI
| Download (ext.)
2010 | Artikel | FH-PUB-ID: 4354 |
Gluck K, Stanley C, Moore L, Reitter D, Halbrügge M. Exploration for Understanding in Cognitive Modeling. Journal of Artificial General Intelligence. 2010;2(2). doi:10.2478/v10229-011-0011-7
HSBI-PUB
| DOI
| Download (ext.)
2009 | Datenpublikation | FH-PUB-ID: 4356
Halbrügge M. ACT-R Model for Predicting Performance in the DSF Task. Technische Universität Berlin; 2009. doi:10.14279/DEPOSITONCE-5163
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19 Publikationen
2025 | Konferenzbeitrag | FH-PUB-ID: 6204 |
Attaullah H, Halbrügge M, Naumann R, Jungeblut T. Digitaler Bahnhof Minden: Künstliche Intelligenz für den Bahnhof der Zukunft. In: ; 2025:4-5. doi:10.60802/sidas.2025.2
HSBI-PUB
| DOI
| Download (ext.)
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6175
Halbrügge M, Jungeblut T. Beyond Heatmaps: Evaluating LIME Visualizations for Human Understandability. In: Gesellschaft für Kognitionswissenschaft, ed. KogWis 2025. 16th Biannual Conference of the German Cognitive Science Society. ; 2025.
HSBI-PUB
2025 | Konferenzbeitrag | FH-PUB-ID: 6206 |
Kwossek J, Eris B, Bollien M, et al. AQ-Shuttle: Autonomous Robots for Last Mile Delivery. In: Workshop on Autonomous Delivery and Service Robots on Pedestrian and Cycle Paths. ; 2025.
HSBI-PUB
| Download (ext.)
2025 | Konferenzbeitrag | FH-PUB-ID: 6205
Kwossek J, Eris B, Bollien M, et al. Autonomous District Shuttles for Last-Mile Delivery: Acceptance, Public Requirements, and Their Role in Urban Development. In: HUMANIST Conference 2025. ; 2025.
HSBI-PUB
2025 | Konferenzbeitrag | FH-PUB-ID: 6202 |
Halbrügge M, Jungeblut T. Statistical Learning of Daily Routines in the Smart Home for Privacy-Preserving Assisted Living. In: KI@HSBI 2025 - Zukunft Im Fokus. ; 2025:13-14. doi:10.60802/sidas.2025.2
HSBI-PUB
| DOI
| Download (ext.)
2025 | Konferenzbeitrag | FH-PUB-ID: 6203 |
Kaan A, Eris B, Halbrügge M, et al. AQ-Shuttle: Eine Studie über autonome Quartiers-Shuttle mit Mobilstation in Bielefeld. In: ; 2025:2-3. doi:10.60802/sidas.2025.2
HSBI-PUB
| DOI
| Download (ext.)
2020 | Artikel | FH-PUB-ID: 4336
Klaproth OW, Vernaleken C, Krol LR, Halbrügge M, Zander TO, Russwinkel N. Tracing Pilots’ Situation Assessment by Neuroadaptive Cognitive Modeling. Frontiers in Neuroscience. 2020;14. doi:10.3389/fnins.2020.00795
HSBI-PUB
| DOI
2020 | Artikel | FH-PUB-ID: 4335
Klaproth OW, Halbrügge M, Krol LR, Vernaleken C, Zander TO, Russwinkel N. A neuroadaptive cognitive model for dealing with uncertainty in tracing pilots’ cognitive state. Topics in Cognitive Science. 2020;12. doi:10.14279/DEPOSITONCE-11280
HSBI-PUB
| DOI
2018 | Fachbuch | FH-PUB-ID: 4337
Halbrügge M. Predicting User Performance and Errors. Cham: Springer International Publishing; 2018. doi:10.1007/978-3-319-60369-8
HSBI-PUB
| DOI
2016 | Kurzbeitrag Konferenz | FH-PUB-ID: 4350
Halbrügge M. Towards the evaluation of cognitive models using anytime intelligence tests. In: Technische Universität Berlin; 2016. doi:10.14279/DEPOSITONCE-5529
HSBI-PUB
| DOI
2016 | Konferenzbeitrag | FH-PUB-ID: 4349
Halbrügge M, Russwinkel N. The sum of two models: how a composite model explains unexpected user behavior in a dual-task scenario. In: Technische Universität Berlin; 2016. doi:10.14279/DEPOSITONCE-5530
HSBI-PUB
| DOI
2016 | Konferenzbeitrag | FH-PUB-ID: 4348
Fiebig A, Halbrügge M, Kraus L. User Experience Measurement of a Static Website Compared to a Responsive Website Using AttrakDiff Mini. In: ; 2016:83-86. doi:10.21437/PQS.2016-18
HSBI-PUB
| DOI
2016 | Konferenzbeitrag | FH-PUB-ID: 4308 |
Halbrügge M, Quade M, Engelbrecht K-P, Möller S, Albayrak S. Predicting user error for ambient systems by integrating model-based UI development and cognitive modeling. In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. New York, NY, USA: ACM; 2016:1028-1039. doi:10.1145/2971648.2971667
HSBI-PUB
| Dateien verfügbar
| DOI
2015 | Konferenzbeitrag | FH-PUB-ID: 4352
Halbrügge M. Online Calibration of Gaze Tracking on the Computer Screen using Particle Filtering. In: SAGA - International Workshop on Solutions for Automatic Gaze Data Analysis : Proceedings; 2015. doi:10.2390/BIECOLL-SAGA2015_16
HSBI-PUB
| DOI
2015 | Buchbeitrag | FH-PUB-ID: 4351
Halbrügge M, Quade M, Engelbrecht K-P. How Can Cognitive Modeling Benefit from Ontologies? Evidence from the HCI Domain. In: Bieger J, Goertzel B, Potapov A, eds. Artificial General Intelligence. Lecture Notes in Computer Science. Cham: Springer International Publishing; 2015:261-271. doi:10.1007/978-3-319-21365-1_27
HSBI-PUB
| DOI
2014 | Konferenzbeitrag | FH-PUB-ID: 4353
Quade M, Halbrügge M, Engelbrecht K-P, Albayrak S, Möller S. Predicting task execution times by deriving enhanced cognitive models from user interface development models. In: Proceedings of the 2014 ACM SIGCHI Symposium on Engineering Interactive Computing Systems. New York, NY, USA: ACM; 2014:139-148. doi:10.1145/2607023.2607033
HSBI-PUB
| DOI
2010 | Artikel | FH-PUB-ID: 4355 |
Halbrügge M. Keep it simple - A case study of model development in the context of the Dynamic Stocks and Flows (DSF) task. Journal of Artificial General Intelligence. 2010;2(2):38-51. doi:10.2478/v10229-011-0008-2
HSBI-PUB
| DOI
| Download (ext.)
2010 | Artikel | FH-PUB-ID: 4354 |
Gluck K, Stanley C, Moore L, Reitter D, Halbrügge M. Exploration for Understanding in Cognitive Modeling. Journal of Artificial General Intelligence. 2010;2(2). doi:10.2478/v10229-011-0011-7
HSBI-PUB
| DOI
| Download (ext.)
2009 | Datenpublikation | FH-PUB-ID: 4356
Halbrügge M. ACT-R Model for Predicting Performance in the DSF Task. Technische Universität Berlin; 2009. doi:10.14279/DEPOSITONCE-5163
HSBI-PUB
| DOI