Conference paper
Simulation Environment for Guiding the Design of Contextual Personalization Systems in the Context of Hearing Aids
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.
Language: | English |
---|---|
Publisher: | Association for Computing Machinery |
Year: | 2020 |
Pages: | 293-298 |
Proceedings: | 28th ACM International Conference on User Modeling, Adaptation, and Personalization |
ISBN: | 1450367119 and 9781450367110 |
Types: | Conference paper |
DOI: | 10.1145/3386392.3399291 |
ORCIDs: | Larsen, Jakob Eg and Mørup, Morten |
Contextual personalization Hearing aids SDG 3 - Good Health and Well-being Simulation environments
Computing methodologies Contextual design Gaussian processes HCI design and evaluation methods Human computer interaction (HCI) Human-centered computing Information retrieval Information systems Interaction design Interaction design process and methods Kernel methods Machine learning Machine learning approaches Modeling and simulation Recommender systems Retrieval tasks and goals Simulation support systems User models contextual personalization hearing aids simulation environments