%0 Book Section %1 BongartzJinEtAl12AMI %A Bongartz, Sara %A Jin, Yucheng %A Paternò, Fabio %A Rett, Jörg %A Santoro, Carmen %A Spano, Lucio Davide %B Ambient Intelligence: Third International Joint Conference, AmI 2012, Pisa, Italy %C Heidelberg %D 2012 %E Paternò, Fabio %E de Ruyter, Boris %E Markopoulos, Panos %E Santoro, Carmen %E van Loenen, Evert %E Luyten, Kris %I Springer %K 01624 springer paper embedded ai adaptive assist user interface code generation factory %P 33--48 %R 10.1007/978-3-642-34898-3_3 %T Adaptive User Interfaces for Smart Environments with the Support of Model-Based Languages %V 7683 %X This article presents a solution for supporting adaptive user interfaces in work environments. Its architecture is built upon the concept of model-based UI design extended by context aware and adaptive features. Model-based languages provide the software development process with useful support for, building design prototypes and actual implementations for devices with various interaction resources. The proposed architecture is able to adapt to selected aspects of the context during run-time by communicating with a context server and applying the specified adaptation rules. In order to show the possibilities of the proposed solution, we report on its application in the development of an adaptive user interface prototype to be used in a warehouse picking system. %@ 978-3-642-34897-6, 978-3-642-34898-3

@incollection{BongartzJinEtAl12AMI, abstract = {This article presents a solution for supporting adaptive user interfaces in work environments. Its architecture is built upon the concept of model-based UI design extended by context aware and adaptive features. Model-based languages provide the software development process with useful support for, building design prototypes and actual implementations for devices with various interaction resources. The proposed architecture is able to adapt to selected aspects of the context during run-time by communicating with a context server and applying the specified adaptation rules. In order to show the possibilities of the proposed solution, we report on its application in the development of an adaptive user interface prototype to be used in a warehouse picking system.}, added-at = {2017-04-01T21:27:39.000+0200}, address = {Heidelberg}, author = {Bongartz, Sara and Jin, Yucheng and Patern\`{o}, Fabio and Rett, J\"{o}rg and Santoro, Carmen and Spano, Lucio Davide}, biburl = {https://www.bibsonomy.org/bibtex/2a8768607e35fcc2832abc1588de644c9/flint63}, booktitle = {Ambient Intelligence: Third International Joint Conference, AmI 2012, Pisa, Italy}, crossref = {AMI2012}, doi = {10.1007/978-3-642-34898-3_3}, editor = {Patern\`{o}, Fabio and de Ruyter, Boris and Markopoulos, Panos and Santoro, Carmen and van Loenen, Evert and Luyten, Kris}, file = {SpringerLink:2012/BongartzJinEtAl12AMI.pdf:PDF}, groups = {public}, interhash = {6d94f591b5b704c59845ddb89e36a04f}, intrahash = {a8768607e35fcc2832abc1588de644c9}, isbn = {978-3-642-34897-6, 978-3-642-34898-3}, keywords = {01624 springer paper embedded ai adaptive assist user interface code generation factory}, pages = {33--48}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2017-07-13T17:53:41.000+0200}, title = {Adaptive User Interfaces for Smart Environments with the Support of Model-Based Languages}, username = {flint63}, volume = 7683, year = 2012 }