M.Sc. Isabel Feustel

Research

PhD Thesis

Embedded Aigaion Query

Towards interactive explanations of machine learning methods through dialogue systems

Language-based interactions promise natural and easy access to explanations of machine learning decisions. As complexity of current artificial intelligence (AI) system increases, transparency and thus explanations of the system behaviour get more important especially in critical applications for domains like law or medicine. Towards this goal, my research focuses on implementing a generic dialogue model for interactive machine learning, that describes user and system behaviour on a semantic level (i.e. dialogue moves) and identifies common user requests that are agnostic to the underlying explainable AI method or domain.

Embedded Aigaion Query 2023

A. Aicher, S. Hillmann, I. Feustel, T. Michael, S. Möller and W. Minker
Factors in Crowdsourcing for Evaluation of Complex Dialogue Systems
Proceedings of the 13th International Workshop on Spoken Dialogue Systems Technology (IWSDS '23), Springer, 2023
Link to Document
Bibtex

I. Feustel, N. Rach, W. Minker and S. Ultes
Towards interactive explanations of machine learning methods through dialogue systems
In Proceedings of the 13th International Workshop on Spoken Dialogue Systems Technology (IWSDS '23), Springer, 2023
Link to Document
Bibtex

2022

A. Aicher, N. Gerstenlauer, I. Feustel, W. Minker and S. Ultes
Towards Building a Spoken Dialogue System for Argument Exploration
Proceedings of the Thirteenth Language Resources and Evaluation Conference, European Language Resources Association, Marseilles, France, pp. 1234–1241, June 2022
Link to Document
Bibtex

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
DOI
Bibtex

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
Bibtex

2020

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
Bibtex

Ich betreue gerne Bachelor und Master Arbeiten aus dem Bereich meines Promotionsthemas. Bei Interesse, schreibe mir gerne eine E-Mail, wenn du Interesse hast.

I am pleased to supervise Bachelor's or Master's theses within my PhD Topic. If you are interested, please feel free to reach out to me via email, and we can explore potential topics.

In Progress / Completed

Embedded Aigaion Query