Journal article
2018 IEEE/ACM 1st International Workshop on Software Engineering for AI in Autonomous Systems (SEFAIAS), 2018
Principal Investigator
APA
Click to copy
Vögel, H.-J., Süß, C., Hubregtsen, T., André, E., Schuller, B., Härri, J., … Ksentini, A. (2018). Emotion-Awareness for Intelligent Vehicle Assistants: A Research Agenda. 2018 IEEE/ACM 1st International Workshop on Software Engineering for AI in Autonomous Systems (SEFAIAS).
Chicago/Turabian
Click to copy
Vögel, Hans-Jörg, Christian Süß, T. Hubregtsen, E. André, Björn Schuller, Jérôme Härri, J. Conradt, et al. “Emotion-Awareness for Intelligent Vehicle Assistants: A Research Agenda.” 2018 IEEE/ACM 1st International Workshop on Software Engineering for AI in Autonomous Systems (SEFAIAS) (2018).
MLA
Click to copy
Vögel, Hans-Jörg, et al. “Emotion-Awareness for Intelligent Vehicle Assistants: A Research Agenda.” 2018 IEEE/ACM 1st International Workshop on Software Engineering for AI in Autonomous Systems (SEFAIAS), 2018.
BibTeX Click to copy
@article{hans-joerg2018a,
title = {Emotion-Awareness for Intelligent Vehicle Assistants: A Research Agenda},
year = {2018},
journal = {2018 IEEE/ACM 1st International Workshop on Software Engineering for AI in Autonomous Systems (SEFAIAS)},
author = {Vögel, Hans-Jörg and Süß, Christian and Hubregtsen, T. and André, E. and Schuller, Björn and Härri, Jérôme and Conradt, J. and Adi, Asaf and Zadorojniy, Alexander and Terken, J. and Beskow, J. and Morrison, A. and Eng, K. and Eyben, F. and Moubayed, S. and Muller, Susanne and Cummins, N. and Ghaderi, V. and Chadowitz, Ronee and Troncy, Raphael and Huet, B. and Önen, Melek and Ksentini, A.}
}
EVA is describing a new class of emotion-aware autonomous systems delivering intelligent personal assistant functionalities. EVA requires a multi-disciplinary approach, combining a number of critical building blocks into a cybernetics systems/software architecture: emotion aware systems and algorithms, multimodal interaction design, cognitive modelling, decision making and recommender systems, emotion sensing as feedback for learning, and distributed (edge) computing delivering cognitive services.