Conference proceeding
ARIA: Demonstrating Transfer from AR-Based Spatial Audio Training to Speech-in-Noise Performance
IEEE International Symposium on Mixed and Augmented Reality Workshops (Online), pp.931-932
10/08/2025
DOI: 10.1109/ISMAR-Adjunct68609.2025.00254
Abstract
We demonstrate ARIA, an iOS augmented reality application that addresses engagement and accessibility limitations of traditional auditory training systems. The app integrates 6-degree-of-freedom spatial audio with gamified auditory localization and speech-in-noise training in users' real environments. Our feasibility study with 11 normal-hearing adults (age: 53±3 years) showed significant improvements in Korean Matrix Sentence Test (KMST) performance across challenging listening conditions (-6dB: 7.3±4.5%, p=0.001; -9dB: 10.5±8.0%, p=0.004). Training duration demonstrated dose-response effects, with correlations between engagement time, in-game localization improvements, and transfer to standardized assessments at -6/-9dB where real-world benefits are most critical
Details
- Title: Subtitle
- ARIA: Demonstrating Transfer from AR-Based Spatial Audio Training to Speech-in-Noise Performance
- Creators
- Pooseung Koh - Korea Advanced Institute of Science and TechnologyJeongwoo Park - Korea Advanced Institute of Science and TechnologySungyoung Kim - Rochester Institute of TechnologyInyong Choi - University of IowaHyojeong Lee - Hallym University
- Resource Type
- Conference proceeding
- Publication Details
- IEEE International Symposium on Mixed and Augmented Reality Workshops (Online), pp.931-932
- DOI
- 10.1109/ISMAR-Adjunct68609.2025.00254
- eISSN
- 2771-1110
- Publisher
- IEEE
- Grant note
- National Research Foundation of Korea (10.13039/501100003725)
- Language
- English
- Date published
- 10/08/2025
- Academic Unit
- Communication Sciences and Disorders; Iowa Neuroscience Institute
- Record Identifier
- 9985034936802771
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