User interest modelling in argumentative dialogue systems
- Most systems helping to provide structured information and support opinion building, discuss with users without considering their individual interest. The scarce existing research on user interest in dialogue systems depends on explicit user feedback. Such systems require user responses that are not content-related and thus, tend to disturb the dialogue flow. In this paper, we present a novel model for implicitly estimating user interest during argumentative dialogues based on semantically clustered data. Therefore, an online user study was conducted to acquire training data which was used to train a binary neural network classifier in order to predict whether or not users are still interested in the content of the ongoing dialogue. We achieved a classification accuracy of 74.9% and furthermore investigated with different Artificial Neural Networks (ANN) which new argument would fit the user interest best.
| Author: | Annalena AicherORCiDGND, Nadine Gerstenlauer, Wolfgang Minker, Stefan Ultes |
|---|---|
| URN: | urn:nbn:de:bvb:384-opus4-1229552 |
| Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/122955 |
| URL: | https://aclanthology.org/2022.lrec-1.14/ |
| ISBN: | 979-10-95546-72-6OPAC |
| Parent Title (English): | Proceedings of the Thirteenth Language Resources and Evaluation Conference, LREC 2022, 20-25 June 2022, Marseille, France |
| Publisher: | European Language Resources Association (ELRA) |
| Place of publication: | Paris |
| Editor: | Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bentec Maegaard, Joseph Mariani, Helene Mazo, Jan Odijk, Stelios Piperidis |
| Type: | Conference Proceeding |
| Language: | English |
| Date of Publication (online): | 2025/06/20 |
| Year of first Publication: | 2022 |
| Publishing Institution: | Universität Augsburg |
| Release Date: | 2025/06/25 |
| First Page: | 127 |
| Last Page: | 136 |
| Institutes: | Fakultät für Angewandte Informatik |
| Fakultät für Angewandte Informatik / Institut für Informatik | |
| Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Menschzentrierte Künstliche Intelligenz | |
| Dewey Decimal Classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
| Licence (German): |  CC-BY-NC 4.0: Creative Commons: Namensnennung - Nicht kommerziell |
