Daniel Braun is a research associate at the chair of Software Engineering for Business Information Systems (sebis) at the Technische Universität München since May 2016. He holds a master’s degree in Computing Science from the University of Aberdeen (Scotland), where he was a research student supervised by Prof Ehud Reiter.
From 2010 to 2014 he worked as student research assistant in the Intelligent User Interfaces Department at the German Research Center for Artificial Intelligence.
- Natural Language Generation (NLG)
- Natural Language Processing (NLP)
- Conversational Interfaces / Chatbots
- Automotive and mobility data
Proceedings of the 10th International Conference on Natural Language Generation, S. 223–227, Association for Computational Linguistics Santiago de Compostela, Spain, 2017.
Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, S. 174–185, Association for Computational Linguistics, Saarbrücken, Germany, 2017.
Towards a Context-Aware Vertical Social Software Ecosystem Inproceedings
2017 IEEE 19th Conference on Business Informatics (CBI), S. 76-82, 2017.
Creating Textual Driver Feedback from Telemetric Data Abschlussarbeit
University of Aberdeen, 2016.
Creating Textual Driver Feedback from Telemetric Data Inproceedings
Proceedings of the 15th European Workshop on Natural Language Generation (ENLG), S. 156–165, Association for Computational Linguistics Association for Computational Linguistics, Brighton, UK, 2015.
Universität des Saarlandes, 2014.
Simulator-based evaluation on the impact of visual complexity and speed on driver’s cognitive load Inproceedings
S. 30–31, 2012.
Prototyping a Semi-Automatic In-Car Texting Assistant Inproceedings
S. 57–60, 2011.
Determination of Mobility Context using Low-Level Data Inproceedings
S. 41–42, 2011.
Pleopatra: A semi-automatic status-posting prototype for future in-car use Inproceedings
S. 7, 2010.
Youldeco-Exploiting the Power of Online Social Networks for Eco-Friendly Driving Inproceedings
S. 5, 2010.