Papers by Nadine Gerstenlauer
Expert Evaluation of a Spoken Dialogue System in a Clinical Operating Room (L18-1)
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| Challenge: | With the emergence of new technologies, the surgical working environment becomes increasingly complex and comprises many medical devices which have to be monitored and controlled. |
| Approach: | They propose to use natural spoken language to control surgical operating rooms to reduce the amount of staff needed during a procedure. |
| Outcome: | The proposed system can control the operating room using natural spoken language and is evaluated by experts in the field of minimally invasive surgery. |
User Interest Modelling in Argumentative Dialogue Systems (2022.lrec-1)
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| Challenge: | Existing studies on user interest in dialogue systems depend on explicit user feedback. |
| Approach: | They propose a model to implicitly estimate user interest during argumentative dialogues based on semantically clustered data. |
| Outcome: | The proposed model achieves a classification accuracy of 74.9% and tested with different Artificial Neural Networks (ANN) which new argument would fit the user interest best. |
Towards Building a Spoken Dialogue System for Argument Exploration (2022.lrec-1)
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| Challenge: | Argumentative dialogue systems lack a robust natural language understanding framework for complex tasks . drop-down menus hinder the application of natural language learning approaches . |
| Approach: | They propose to integrate a natural language understanding framework into an argumentative dialogue system. |
| Outcome: | The proposed system is compared to a baseline system using a drop-down menu . the drop- down menu convinces, but the willingness to use it is significantly higher . |