What does situation-adaptive technology mean for car drivers and how can it improve their lives? Why is multimodal interaction in the cockpit a critical ingredient? This contribution summarizes several important technological results of the three-year research project SiAM, which investigated these questions. Motivated by the story of an urban commuter, we illustrate three use cases for situation adaptivity: multimodal control of car functions, cognitive load aware interaction with the environment, and a persuasive intermodal travel assistant.
%0 Conference Paper
%1 MitrevskaMoniriEtAl15IE
%A Mitrevska, Monika
%A Moniri, Mohammad Mehdi
%A Neßelrath, Robert
%A Schwartz, Tim
%A Feld, Michael
%A Körber, Yannick
%A Deru, Matthieu
%A Müller, Christian
%B Proceedings of the 11th International Conference on Intelligent Environments (IE-15), Prague, Czech Republic
%C Los Alamitos, CA
%D 2015
%I IEEE Computer Society
%K 01801 paper ieee ai dfki semantic mobile user interface multimodal dialog interaction assist language processing automotive zzz.mmi
%P 180--183
%R 10.1109/IE.2015.39
%T SiAM -- Situation-Adapative Multimodal Interaction for Innovative Mobility Concepts of the Future
%X What does situation-adaptive technology mean for car drivers and how can it improve their lives? Why is multimodal interaction in the cockpit a critical ingredient? This contribution summarizes several important technological results of the three-year research project SiAM, which investigated these questions. Motivated by the story of an urban commuter, we illustrate three use cases for situation adaptivity: multimodal control of car functions, cognitive load aware interaction with the environment, and a persuasive intermodal travel assistant.
@inproceedings{MitrevskaMoniriEtAl15IE,
abstract = {What does situation-adaptive technology mean for car drivers and how can it improve their lives? Why is multimodal interaction in the cockpit a critical ingredient? This contribution summarizes several important technological results of the three-year research project SiAM, which investigated these questions. Motivated by the story of an urban commuter, we illustrate three use cases for situation adaptivity: multimodal control of car functions, cognitive load aware interaction with the environment, and a persuasive intermodal travel assistant.},
added-at = {2018-03-16T11:01:30.000+0100},
address = {Los Alamitos, CA},
author = {Mitrevska, Monika and Moniri, Mohammad Mehdi and Ne{\ss}elrath, Robert and Schwartz, Tim and Feld, Michael and K{\"o}rber, Yannick and Deru, Matthieu and M\"{u}ller, Christian},
biburl = {https://www.bibsonomy.org/bibtex/26454b18e760c038beb317e36fe796ff1/flint63},
booktitle = {Proceedings of the 11th International Conference on Intelligent Environments (IE-15), Prague, Czech Republic},
doi = {10.1109/IE.2015.39},
file = {Electronic Proceedings:2015/MitrevskaMoniriEtAl15IE.pdf:PDF},
groups = {public},
interhash = {f49a54bae5d1ee186e3b26c3bc8eb250},
intrahash = {6454b18e760c038beb317e36fe796ff1},
keywords = {01801 paper ieee ai dfki semantic mobile user interface multimodal dialog interaction assist language processing automotive zzz.mmi},
pages = {180--183},
publisher = {IEEE Computer Society},
timestamp = {2018-04-16T12:07:26.000+0200},
title = {{SiAM} -- Situation-Adapative Multimodal Interaction for Innovative Mobility Concepts of the Future},
username = {flint63},
year = 2015
}