Designing Audiologist Bots Fusing Soundscapes and User Feedback

Alessandro Pasta, Michael Kai Petersen, Kasper Juul Jensen, Jakob Eg Larsen

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

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Despite having different audiological preferences, hearing aid users are usually provided with default settings. This lack of personalization is due to a scarcity of audiological resources and to the difficulty of optimizing hearing aid settings in the clinic. Implementing a conversational agent allows to automatically gather user feedback in real-world environments, while monitoring the soundscape, in order to recommend personalized settings. We outline a conversational agent model that interprets user utterances as audiological intents and fuses user feedback and soundscape features to predict the most likely preferred hearing aid setting. Subsequently, we propose two use cases for a conversational agent, that envisage two different interactions to address distinct user needs: troubleshooting and contextual personalization.
Original languageEnglish
Title of host publicationWorkshop on Conversational Agents for Health and Wellbeing
Number of pages6
Publication date2020
Publication statusPublished - 2020
EventWorkshop on Conversational Agents for Health and Wellbeing 2020 - Honolulu, United States
Duration: 26 Apr 202026 Apr 2020


WorkshopWorkshop on Conversational Agents for Health and Wellbeing 2020
Country/TerritoryUnited States


  • Conversational agents
  • Recommender systems
  • Personalization
  • Hearing healthcare
  • Hearing aids


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