CheckMyFit-Reference-Cited by-同舟云学术

CheckMyFit

Published:2022-09-19 Issue:MHCI Volume:6 Page:1-21
ISSN:2573-0142
Container-title:Proceedings of the ACM on Human-Computer Interaction
language:en
Short-container-title:Proc. ACM Hum.-Comput. Interact.

Author:

Yang Qi¹,Papakostas Michalis¹,Scott Jack M.²,O'Neill Erin R.³,Kondrashov Kirill Sergeyevich⁴,Mateevitsi Victor A.⁵,Olsen Gregory¹,Dittberner Andrew Burke³

Affiliation:

1. GN Advanced Science, Glenview, IL, USA

2. Western University, London, ON, Canada

3. GN Advanced Science, Minneapolis, MN, USA

4. GN Advanced Science, Eindhoven, Netherlands

5. Argonne National Laboratory, Lemont, IL, USA

Abstract

Putting on hearing aids (HAs) is a regular and crucial task for every hearing aid wearer. A sub-optimal insertion can impact user adoption and audiological benefit. Ability to visually evaluate the insertion can be helpful to achieve a proper physical fit of hearing aids or similar devices, but this is currently a challenging task. In this work we present CheckMyFit, a smartphone-based, automated solution enabling users to quickly take a photo of their hearing aid placement, and compare it with a reference ideal insertion. To evaluate the tool's usability and potential benefit we conducted two user studies: a) a pilot lab study with 7 participants, and b) a field study with 17 participants. In the two-week field study, older participants with no prior hearing aid experiences were instructed on hearing aid insertion remotely and performed daily insertions independently at home. We found that CheckMyFit is easy and quick to use for almost all participants. Ear-photo-aided insertions tend to have higher quality than insertions without the tool. This correlation was significant and persisted throughout the 2 weeks of the study, and is retained after a short break. This suggests that CheckMyFit tool can provide real-world benefit to new users learning to insert their hearing aids. We also used CheckMyFit to remotely facilitate the field study, demonstrating its potential usefulness in tele-medicine.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)

Link

https://dl.acm.org/doi/pdf/10.1145/3546721

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