M.Sc. Isabel Feustel


PhD Thesis

Embedded Aigaion Query

Dynamic User Assistance Using Argumentative Dialogues

Argumentation is an often used tool in spoken and written language. With the help of good arguments, we can convince people of our opinion. For assistance systems, the processing and especially the understanding of arguments is a challenge. In my research I want to focus on the technical level of the understanding of arguments. This includes on the one hand the investigation for a suitable data structure, so that the virtual agent can process arguments in a meaningful way, and on the other hand optimizations for this processing of arguments. I want to deal with decision making to find out how a system can make a decision based on arguments and thus support users.

Embedded Aigaion Query 2021

J. Miehle, I. Feustel, W. Minker and S. Ultes
A Script Knowledge Based Dialogue System for Indoor Navigation
Conversational Dialogue Systems for the Next Decade, Springer Singapore, Series: Lecture Notes in Electrical Engineering, Vol. 704, pp. 379--385, 2021

N. Rach, C. Schindler, I. Feustel, J. Daxenberger, W. Minker and S. Ultes
From Argument Search to Argumentative Dialogue: A Topic-independent Approach to Argument Acquisition for Dialogue Systems
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, ACL, Singapore, 2021
Link to Document


J. Miehle, I. Feustel, J. Hornauer, W. Minker and S. Ultes
Estimating User Communication Styles for Spoken Dialogue Systems
Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC 2020), European Language Resources Association (ELRA), Marseille, France, pp. 533--541, May 2020
Link to Document