@inproceedings{ubo:69423,
  author = {Gaulke, Werner and Ziegler, Jürgen},
  chapter = {},
  title = {Rule-enhanced task models for increased expressiveness and compactness},
  year = {2016},
  edition = {EICS ’16},
  publisher = {ACM},
  address = {Brussels, Belgium},
  pages = {4–15},
  isbn = {978-1-4503-4322-0},
  doi = {10.1145/2933242.2933243},
  abstract = {User centered design and development of interactive systems utilizes theoretically well-grounded, yet practical ways to capture user’s goals and intentions. Task models are an established approach to break down a central objective into a set of hierarchical organized tasks. While task models achieve to provide a good overview of the overall system, they often lack detail necessary to (semi-) automatically generate user interfaces. Based on requirements derived from a comprehensive overview of existing task model extensions, improvements and development methods, an approach that integrates logical rules with task models is introduced. By means of practical examples it is shown, that the integration of rules enables advanced execution flows as well as leaner task models thus improving their practical value.},
  booktitle = {Proceedings of the 8th ACM SIGCHI Symposium on Engineering Interactive Computing Systems}
}


@inproceedings{ubo:54813,
  author = {Gaulke, Werner and Ziegler, Jürgen},
  editor = {Ziegler, Jürgen and Nebeling, Michael and Laurence, Nigay},
  chapter = {},
  title = {Using profiled ontologies to leverage model driven user interface generation},
  year = {2015},
  publisher = {ACM},
  address = {New York, NY, USA},
  isbn = {978-1-4503-3646-8},
  url = {http://dx.doi.org/10.1145/2774225.2775070},
  abstract = {Mobile computing and new input methods have increased the need to create multiple interfaces for one functional core. Automatic generation of user interfaces attempts a solution for this problem. Existing approaches either generate interfaces on the base of a detailed task model or use domain models in conjunction with interface specific annotations and transformation rules. While task models are very time consuming to create and cannot easily be reused domain models lack the flexibility for use cases which are not covered or in conflict with used transformation rules. Based on an overview of existing approaches this paper sets out a conceptual framework which combines both task model and ontology based concepts. It is shown that the proposed combination leads to more abstract and reusable task models.},
  booktitle = {Proceedings of the 7th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS ’15)}
}


@inproceedings{ubo:42827,
  author = {Kaindl, Hermann and Wach, Elmar and Okoli, Ada and Popp, Roman and Hoch, Ralph and Gaulke, Werner and Hussein, Tim},
  chapter = {},
  title = {Semi-automatic generation of recommendation processes and their GUIs},
  year = {2013},
  publisher = {ACM},
  abstract = {Creating and optimizing content- and dialogue-based recommendation processes and their GUIs (graphical user interfaces) manually is expensive and slow. Changes in the environment may also be found too late or even be overlooked by humans. We show how to generate such processes and their GUIs semi-automatically by using knowledge derived from unstructured data such as customer feedback on products on the Web. Our approach covers the whole lifecycle from knowledge discovery through text mining techniques to the use of this knowledge for semi-automatic generation of recommendation processes and their user interfaces as well as their comparison in real-world use within the e-commerce domain through A/B-variant tests. These tests indicate that our approach can lead to better results as well as less manual effort.},
  isbn = {978-1-4503-1965-2},
  url = {http://dx.doi.org/10.1145/2449396.2449410},
  booktitle = {Proceedings of the 18th International Conference on Intelligent User Interfaces (IUI ’13)}
}