{"_id":"4308","status":"public","date_created":"2024-02-08T12:05:36Z","publication":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing","title":"Predicting user error for ambient systems by integrating model-based UI development and cognitive modeling","user_id":"220548","citation":{"chicago":"Halbrügge, Marc, Michael Quade, Klaus-Peter Engelbrecht, Sebastian Möller, and Sahin Albayrak. “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, 1028–39. New York, NY, USA: ACM, 2016. https://doi.org/10.1145/2971648.2971667.","apa":"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","ieee":"M. Halbrügge, M. Quade, K.-P. Engelbrecht, S. Möller, and S. Albayrak, “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, Heidelberg Germany, 2016, pp. 1028–1039.","alphadin":"Halbrügge, Marc ; Quade, Michael ; Engelbrecht, Klaus-Peter ; Möller, Sebastian ; Albayrak, Sahin: 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, S. 1028–1039","short":"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.","mla":"Halbrügge, Marc, et al. “Predicting User Error for Ambient Systems by Integrating Model-Based UI Development and Cognitive Modeling.” Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, ACM, 2016, pp. 1028–39, doi:10.1145/2971648.2971667.","ama":"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","bibtex":"@inproceedings{Halbrügge_Quade_Engelbrecht_Möller_Albayrak_2016, place={New York, NY, USA}, title={Predicting user error for ambient systems by integrating model-based UI development and cognitive modeling}, DOI={10.1145/2971648.2971667}, booktitle={Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing}, publisher={ACM}, author={Halbrügge, Marc and Quade, Michael and Engelbrecht, Klaus-Peter and Möller, Sebastian and Albayrak, Sahin}, year={2016}, pages={1028–1039} }"},"file_date_updated":"2024-02-08T12:02:02Z","publication_status":"published","file":[{"file_name":"Halbruegge2016-IntegratedModel.pdf","file_size":415139,"content_type":"application/pdf","relation":"main_file","access_level":"open_access","file_id":"4309","creator":"mhalbruegge","success":1,"date_updated":"2024-02-08T12:02:02Z","date_created":"2024-02-08T12:02:02Z"}],"year":"2016","has_accepted_license":"1","date_updated":"2024-02-19T14:11:02Z","page":"1028-1039","place":"New York, NY, USA","language":[{"iso":"eng"}],"type":"conference","abstract":[{"text":"With the move to ubiquitous computing, user interfaces (UI) are no longer bound to specific devices. While this \r\nproblem can be tackled using the model-based UI development (MBUID) process, the usability of the device-specific interfaces is still an open question. We are presenting a combined system that integrates MBUID with a cognitive modeling framework in order to provide usability predictions at development time. Because of their potential impact, our focus within usability problems lies on user errors. These are captured in a cognitive model that capitalizes on meta-information provided by the MBUID system such as the abstract role of a UI element within a task sequence (e.g., input, output, command). The free parameters of the cognitive model were constrained using data from two previous studies. A validation experiment featuring a new application and UI yielded an unexpected error pattern that was nonetheless consistent with the model predictions.","lang":"eng"}],"publication_identifier":{"isbn":["9781450344616"]},"conference":{"name":"UbiComp '16: The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing","location":"Heidelberg Germany","start_date":"2016-09-12","end_date":"2016-09-16"},"doi":"10.1145/2971648.2971667","keyword":["Automated Usability Evaluation","Human Error","Model-Based Engineering","Smart Home","Cognitive User Model"],"quality_controlled":"1","publisher":"ACM","oa":"1","author":[{"last_name":"Halbrügge","full_name":"Halbrügge, Marc","id":"256353","first_name":"Marc"},{"last_name":"Quade","full_name":"Quade, Michael","first_name":"Michael"},{"last_name":"Engelbrecht","full_name":"Engelbrecht, Klaus-Peter","first_name":"Klaus-Peter"},{"first_name":"Sebastian","full_name":"Möller, Sebastian","last_name":"Möller"},{"last_name":"Albayrak","full_name":"Albayrak, Sahin","first_name":"Sahin"}],"extern":"1"}