Rethinking Hearing Aids as Recommender Systems

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

Research output: Contribution to journalJournal articleResearchpeer-review

42 Downloads (Pure)

Abstract

The introduction of internet-connected hearing aids constitutes a paradigm shift in hearing healthcare, as the device can now potentially be complemented with smartphone apps that model the surrounding environment in order to recommend the optimal settings in a given context and situation. However, rethinking hearing aids as context-aware recommender systems poses some challenges. In this paper, we address them by gathering the preferences of seven participants in real-world listening environments. Exploring an audiological design space, the participants sequentially optimize three audiological parameters which are subsequently combined into a personalized device configuration. We blindly compare this configuration against settings personalized in a standard clinical workflow based on questions and pre-recorded sound samples, and we find that six out of seven participants prefer the device settings learned in real-world listening environments.
Original languageEnglish
JournalCEUR Workshop Proceedings
Volume2439
Pages (from-to)11-17
ISSN1613-0073
Publication statusPublished - 2019
Event4th International Workshop on Health Recommender Systems - Scandic Falkoner hotel, Copenhagen, Denmark
Duration: 20 Sep 201920 Sep 2019

Workshop

Workshop4th International Workshop on Health Recommender Systems
LocationScandic Falkoner hotel
CountryDenmark
CityCopenhagen
Period20/09/201920/09/2019

Keywords

  • Personalization
  • Recommender systems
  • Hearing healthcare
  • Hearing aids

Cite this