Modeling User Utterances as Intents in an Audiological Design Space

Benjamin Johansen, Jakob Eg Larsen, Michael Kai Petersen, Niels Henrik Pontoppidan

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

The global number of people living with hearing loss continues to grow, while the clinical resources are limited. To address this we describe a scalable goal oriented system. We outline a method on creating an audiological vocabulary, which can be mapped to intents. We create a shared audiological parameter space, with inspiration from clinical workflows. Matching of the intents and the audiological space, results in hearing aid fitting parameters, which then receive feedback from the user. We discuss how to train embedding and recurrent neural network models implementing attention mechanisms, to predict the optimal settings based on learned sequences of dialogue states and device fitting outcomes.
Original languageEnglish
Title of host publicationProceedings of The ACM CHI Conference on Human Factors in Computing System 2019
Number of pages7
PublisherAssociation for Computing Machinery
Publication date2020
ISBN (Print)978-1-4503-9999-9
DOIs
Publication statusPublished - 2020
EventChi Conference on Human Factors in Computing Systems 2019 - Glasgow, United Kingdom
Duration: 4 May 20199 May 2019

Conference

ConferenceChi Conference on Human Factors in Computing Systems 2019
CountryUnited Kingdom
CityGlasgow
Period04/05/201909/05/2019

Cite this

Johansen, B., Larsen, J. E., Petersen, M. K., & Pontoppidan, N. H. (2020). Modeling User Utterances as Intents in an Audiological Design Space. In Proceedings of The ACM CHI Conference on Human Factors in Computing System 2019 Association for Computing Machinery. https://doi.org/10.1145/1122445.1122456