PUBLIKATIONSSERVER

Marc Halbrügge

https://orcid.org/0009-0007-3208-1297

23 Publikationen

Alle markieren

[23]
2020 | Artikel | FH-PUB-ID: 4336
Klaproth, O. W., Vernaleken, C., Krol, L. R., Halbrügge, M., Zander, T. O., & Russwinkel, N. (2020). Tracing Pilots’ Situation Assessment by Neuroadaptive Cognitive Modeling. Frontiers in Neuroscience, 14. https://doi.org/10.3389/fnins.2020.00795
HSBI-PUB | DOI
 
[22]
2020 | Artikel | FH-PUB-ID: 4335
Klaproth, O. W., Halbrügge, M., Krol, L. R., Vernaleken, C., Zander, T. O., & Russwinkel, N. (2020). A neuroadaptive cognitive model for dealing with uncertainty in tracing pilots’ cognitive state. Topics in Cognitive Science, 12. https://doi.org/10.14279/DEPOSITONCE-11280
HSBI-PUB | DOI
 
[21]
2018 | Buchbeitrag | FH-PUB-ID: 4347
Halbrügge, M. (2018). Model-Based UI Development (MBUID). In Predicting User Performance and Errors (pp. 19–22). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-60369-8_3
HSBI-PUB | DOI
 
[20]
2018 | Buchbeitrag | FH-PUB-ID: 4346
Halbrügge, M. (2018). Introspection-Based Predictions of Human Performance. In Predicting User Performance and Errors (pp. 37–51). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-60369-8_5
HSBI-PUB | DOI
 
[19]
2018 | Buchbeitrag | FH-PUB-ID: 4345
Halbrügge, M. (2018). Introduction. In Predicting User Performance and Errors (pp. 1–5). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-60369-8_1
HSBI-PUB | DOI
 
[18]
2018 | Buchbeitrag | FH-PUB-ID: 4344
Halbrügge, M. (2018). Interactive Behavior and Human Error. In Predicting User Performance and Errors (pp. 9–17). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-60369-8_2
HSBI-PUB | DOI
 
[17]
2018 | Buchbeitrag | FH-PUB-ID: 4343
Halbrügge, M. (2018). General Discussion and Conclusion. In Predicting User Performance and Errors (pp. 131–136). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-60369-8_10
HSBI-PUB | DOI
 
[16]
2018 | Buchbeitrag | FH-PUB-ID: 4342
Halbrügge, M. (2018). Explaining and Predicting Sequential Error in HCI with Cognitive User Models. In Predicting User Performance and Errors (pp. 53–85). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-60369-8_6
HSBI-PUB | DOI
 
[15]
2018 | Buchbeitrag | FH-PUB-ID: 4341
Halbrügge, M. (2018). Automated Usability Evaluation (AUE). In Predicting User Performance and Errors (pp. 23–33). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-60369-8_4
HSBI-PUB | DOI
 
[14]
2018 | Buchbeitrag | FH-PUB-ID: 4340
Halbrügge, M. (2018). A Deeply Integrated System for Introspection-Based Error Prediction. In Predicting User Performance and Errors (pp. 103–116). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-60369-8_8
HSBI-PUB | DOI
 
[13]
2018 | Buchbeitrag | FH-PUB-ID: 4339
Halbrügge, M. (2018). The Unknown User: Does Optimizing for Errors and Time Lead to More Likable Systems? In Predicting User Performance and Errors (pp. 117–130). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-60369-8_9
HSBI-PUB | DOI
 
[12]
2018 | Buchbeitrag | FH-PUB-ID: 4338
Halbrügge, M. (2018). The Competent User: How Prior Knowledge Shapes Performance and Errors. In Predicting User Performance and Errors (pp. 87–99). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-60369-8_7
HSBI-PUB | DOI
 
[11]
2018 | Fachbuch | FH-PUB-ID: 4337
Halbrügge, M. (2018). Predicting User Performance and Errors. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-60369-8
HSBI-PUB | DOI
 
[10]
2016 | Kurzbeitrag Konferenz | FH-PUB-ID: 4350
Halbrügge, M. (2016). Towards the evaluation of cognitive models using anytime intelligence tests. Presented at the Proceedings of the 14th International Conference on Cognitive Modeling, Pennsylvania State University: Technische Universität Berlin. https://doi.org/10.14279/DEPOSITONCE-5529
HSBI-PUB | DOI
 
[9]
2016 | Konferenzbeitrag | FH-PUB-ID: 4349
Halbrügge, M., & Russwinkel, N. (2016). The sum of two models: how a composite model explains unexpected user behavior in a dual-task scenario. Presented at the Proceedings of the 14th International Conference on Cognitive Modeling (ICCM 2016), University Park, Pennsylvania, USA: Technische Universität Berlin. https://doi.org/10.14279/DEPOSITONCE-5530
HSBI-PUB | DOI
 
[8]
2016 | Konferenzbeitrag | FH-PUB-ID: 4348
Fiebig, A., Halbrügge, M., & Kraus, L. (2016). User Experience Measurement of a Static Website Compared to a Responsive Website Using AttrakDiff Mini (pp. 83–86). Presented at the 5th ISCA/DEGA Workshop on Perceptual Quality of Systems (PQS 2016), Berlin. https://doi.org/10.21437/PQS.2016-18
HSBI-PUB | DOI
 
[7]
2016 | Konferenzbeitrag | FH-PUB-ID: 4308 | OA
Halbrügge, M., Quade, M., Engelbrecht, K.-P., Möller, S., & Albayrak, S. (2016). 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 (pp. 1028–1039). New York, NY, USA: ACM. https://doi.org/10.1145/2971648.2971667
HSBI-PUB | Dateien verfügbar | DOI
 
[6]
2015 | Konferenzbeitrag | FH-PUB-ID: 4352
Halbrügge, M. (2015). Online Calibration of Gaze Tracking on the Computer Screen using Particle Filtering. Presented at the 2nd International Workshop on Solutions for Automatic Gaze Data Analysis, Bielefeld: SAGA - International Workshop on Solutions for Automatic Gaze Data Analysis : Proceedings. https://doi.org/10.2390/BIECOLL-SAGA2015_16
HSBI-PUB | DOI
 
[5]
2015 | Buchbeitrag | FH-PUB-ID: 4351
Halbrügge, M., Quade, M., & Engelbrecht, K.-P. (2015). How Can Cognitive Modeling Benefit from Ontologies? Evidence from the HCI Domain. In J. Bieger, B. Goertzel, & A. Potapov (Eds.), Artificial General Intelligence (pp. 261–271). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-21365-1_27
HSBI-PUB | DOI
 
[4]
2014 | Konferenzbeitrag | FH-PUB-ID: 4353
Quade, M., Halbrügge, M., Engelbrecht, K.-P., Albayrak, S., & Möller, S. (2014). 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 (pp. 139–148). New York, NY, USA: ACM. https://doi.org/10.1145/2607023.2607033
HSBI-PUB | DOI
 
[3]
2010 | Artikel | FH-PUB-ID: 4355 | OA
Halbrügge, M. (2010). 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, 2(2), 38–51. https://doi.org/10.2478/v10229-011-0008-2
HSBI-PUB | DOI | Download (ext.)
 
[2]
2010 | Artikel | FH-PUB-ID: 4354 | OA
Gluck, K., Stanley, C., Moore, L., Reitter, D., & Halbrügge, M. (2010). Exploration for Understanding in Cognitive Modeling. Journal of Artificial General Intelligence, 2(2). https://doi.org/10.2478/v10229-011-0011-7
HSBI-PUB | DOI | Download (ext.)
 
[1]
2009 | Datenpublikation | FH-PUB-ID: 4356
Halbrügge, M. (2009). ACT-R Model for Predicting Performance in the DSF Task. Technische Universität Berlin. https://doi.org/10.14279/DEPOSITONCE-5163
HSBI-PUB | DOI
 
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23 Publikationen

Alle markieren

[23]
2020 | Artikel | FH-PUB-ID: 4336
Klaproth, O. W., Vernaleken, C., Krol, L. R., Halbrügge, M., Zander, T. O., & Russwinkel, N. (2020). Tracing Pilots’ Situation Assessment by Neuroadaptive Cognitive Modeling. Frontiers in Neuroscience, 14. https://doi.org/10.3389/fnins.2020.00795
HSBI-PUB | DOI
 
[22]
2020 | Artikel | FH-PUB-ID: 4335
Klaproth, O. W., Halbrügge, M., Krol, L. R., Vernaleken, C., Zander, T. O., & Russwinkel, N. (2020). A neuroadaptive cognitive model for dealing with uncertainty in tracing pilots’ cognitive state. Topics in Cognitive Science, 12. https://doi.org/10.14279/DEPOSITONCE-11280
HSBI-PUB | DOI
 
[21]
2018 | Buchbeitrag | FH-PUB-ID: 4347
Halbrügge, M. (2018). Model-Based UI Development (MBUID). In Predicting User Performance and Errors (pp. 19–22). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-60369-8_3
HSBI-PUB | DOI
 
[20]
2018 | Buchbeitrag | FH-PUB-ID: 4346
Halbrügge, M. (2018). Introspection-Based Predictions of Human Performance. In Predicting User Performance and Errors (pp. 37–51). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-60369-8_5
HSBI-PUB | DOI
 
[19]
2018 | Buchbeitrag | FH-PUB-ID: 4345
Halbrügge, M. (2018). Introduction. In Predicting User Performance and Errors (pp. 1–5). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-60369-8_1
HSBI-PUB | DOI
 
[18]
2018 | Buchbeitrag | FH-PUB-ID: 4344
Halbrügge, M. (2018). Interactive Behavior and Human Error. In Predicting User Performance and Errors (pp. 9–17). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-60369-8_2
HSBI-PUB | DOI
 
[17]
2018 | Buchbeitrag | FH-PUB-ID: 4343
Halbrügge, M. (2018). General Discussion and Conclusion. In Predicting User Performance and Errors (pp. 131–136). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-60369-8_10
HSBI-PUB | DOI
 
[16]
2018 | Buchbeitrag | FH-PUB-ID: 4342
Halbrügge, M. (2018). Explaining and Predicting Sequential Error in HCI with Cognitive User Models. In Predicting User Performance and Errors (pp. 53–85). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-60369-8_6
HSBI-PUB | DOI
 
[15]
2018 | Buchbeitrag | FH-PUB-ID: 4341
Halbrügge, M. (2018). Automated Usability Evaluation (AUE). In Predicting User Performance and Errors (pp. 23–33). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-60369-8_4
HSBI-PUB | DOI
 
[14]
2018 | Buchbeitrag | FH-PUB-ID: 4340
Halbrügge, M. (2018). A Deeply Integrated System for Introspection-Based Error Prediction. In Predicting User Performance and Errors (pp. 103–116). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-60369-8_8
HSBI-PUB | DOI
 
[13]
2018 | Buchbeitrag | FH-PUB-ID: 4339
Halbrügge, M. (2018). The Unknown User: Does Optimizing for Errors and Time Lead to More Likable Systems? In Predicting User Performance and Errors (pp. 117–130). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-60369-8_9
HSBI-PUB | DOI
 
[12]
2018 | Buchbeitrag | FH-PUB-ID: 4338
Halbrügge, M. (2018). The Competent User: How Prior Knowledge Shapes Performance and Errors. In Predicting User Performance and Errors (pp. 87–99). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-60369-8_7
HSBI-PUB | DOI
 
[11]
2018 | Fachbuch | FH-PUB-ID: 4337
Halbrügge, M. (2018). Predicting User Performance and Errors. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-60369-8
HSBI-PUB | DOI
 
[10]
2016 | Kurzbeitrag Konferenz | FH-PUB-ID: 4350
Halbrügge, M. (2016). Towards the evaluation of cognitive models using anytime intelligence tests. Presented at the Proceedings of the 14th International Conference on Cognitive Modeling, Pennsylvania State University: Technische Universität Berlin. https://doi.org/10.14279/DEPOSITONCE-5529
HSBI-PUB | DOI
 
[9]
2016 | Konferenzbeitrag | FH-PUB-ID: 4349
Halbrügge, M., & Russwinkel, N. (2016). The sum of two models: how a composite model explains unexpected user behavior in a dual-task scenario. Presented at the Proceedings of the 14th International Conference on Cognitive Modeling (ICCM 2016), University Park, Pennsylvania, USA: Technische Universität Berlin. https://doi.org/10.14279/DEPOSITONCE-5530
HSBI-PUB | DOI
 
[8]
2016 | Konferenzbeitrag | FH-PUB-ID: 4348
Fiebig, A., Halbrügge, M., & Kraus, L. (2016). User Experience Measurement of a Static Website Compared to a Responsive Website Using AttrakDiff Mini (pp. 83–86). Presented at the 5th ISCA/DEGA Workshop on Perceptual Quality of Systems (PQS 2016), Berlin. https://doi.org/10.21437/PQS.2016-18
HSBI-PUB | DOI
 
[7]
2016 | Konferenzbeitrag | FH-PUB-ID: 4308 | OA
Halbrügge, M., Quade, M., Engelbrecht, K.-P., Möller, S., & Albayrak, S. (2016). 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 (pp. 1028–1039). New York, NY, USA: ACM. https://doi.org/10.1145/2971648.2971667
HSBI-PUB | Dateien verfügbar | DOI
 
[6]
2015 | Konferenzbeitrag | FH-PUB-ID: 4352
Halbrügge, M. (2015). Online Calibration of Gaze Tracking on the Computer Screen using Particle Filtering. Presented at the 2nd International Workshop on Solutions for Automatic Gaze Data Analysis, Bielefeld: SAGA - International Workshop on Solutions for Automatic Gaze Data Analysis : Proceedings. https://doi.org/10.2390/BIECOLL-SAGA2015_16
HSBI-PUB | DOI
 
[5]
2015 | Buchbeitrag | FH-PUB-ID: 4351
Halbrügge, M., Quade, M., & Engelbrecht, K.-P. (2015). How Can Cognitive Modeling Benefit from Ontologies? Evidence from the HCI Domain. In J. Bieger, B. Goertzel, & A. Potapov (Eds.), Artificial General Intelligence (pp. 261–271). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-21365-1_27
HSBI-PUB | DOI
 
[4]
2014 | Konferenzbeitrag | FH-PUB-ID: 4353
Quade, M., Halbrügge, M., Engelbrecht, K.-P., Albayrak, S., & Möller, S. (2014). 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 (pp. 139–148). New York, NY, USA: ACM. https://doi.org/10.1145/2607023.2607033
HSBI-PUB | DOI
 
[3]
2010 | Artikel | FH-PUB-ID: 4355 | OA
Halbrügge, M. (2010). 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, 2(2), 38–51. https://doi.org/10.2478/v10229-011-0008-2
HSBI-PUB | DOI | Download (ext.)
 
[2]
2010 | Artikel | FH-PUB-ID: 4354 | OA
Gluck, K., Stanley, C., Moore, L., Reitter, D., & Halbrügge, M. (2010). Exploration for Understanding in Cognitive Modeling. Journal of Artificial General Intelligence, 2(2). https://doi.org/10.2478/v10229-011-0011-7
HSBI-PUB | DOI | Download (ext.)
 
[1]
2009 | Datenpublikation | FH-PUB-ID: 4356
Halbrügge, M. (2009). ACT-R Model for Predicting Performance in the DSF Task. Technische Universität Berlin. https://doi.org/10.14279/DEPOSITONCE-5163
HSBI-PUB | DOI
 
Markierte Publikation(en)

Suche

Publikationen filtern

Darstellung / Sortierung

Zitationsstil: APA

Export / Einbettung