Simulation Environment for Guiding the Design of Contextual Personalization Systems in the Context of Hearing Aids

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Abstract

Adjusting the settings of hearing aids in a clinic is challenging as the measured thresholds of audibility do not reflect many aspects of cognitive perception or the resulting differences in auditory preferences across different contexts. Online personalization systems have a potential to solve this problem, yet the lack of contextual user preference data constitutes a major obstacle in designing and implementing them. To address this challenge, we propose a simulation-based framework to inform and accelerate the development process of online contextual personalization systems in the context of hearing aids. We discuss how to model hearing aid users and context allowing partial observability, and propose how to generate plausible preference models using Gaussian Processes incorporating assumptions about the environment in a controlled way. Finally, on a simple example we demonstrate how an uncertainty-driven agent can efficiently learn from noisy user responses within the proposed framework. We believe that such simulated environments are vital for successful development of complex context-aware online recommender systems.

Original languageEnglish
Title of host publicationAdjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization
PublisherAssociation for Computing Machinery
Publication date14 Jul 2020
Pages293-298
ISBN (Electronic)9781450367110
DOIs
Publication statusPublished - 14 Jul 2020
Event28th ACM International Conference on User Modeling, Adaptation, and Personalization - Genoa, Italy
Duration: 14 Jul 202017 Jul 2020

Conference

Conference28th ACM International Conference on User Modeling, Adaptation, and Personalization
CountryItaly
CityGenoa
Period14/07/202017/07/2020
SponsorAssociation for Computing Machinery, Association for Computing Machinery
SeriesUMAP 2020 Adjunct - Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization

Keywords

  • Contextual personalization
  • Hearing aids
  • Simulation environments

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