Conference paper Open Access

User HRTF Selection for 3D Auditory Mixed Reality

Rishi Shukla; Rebecca Stewart; Mark Sandler

We introduce a novel approach for personalisation of an efficient 3D binaural rendering system designed for mobile, auditory mixed reality use cases. A head-related transfer function (HRTF) ranking method is outlined for users of real-time, interactive sound and music applications. Twenty participants tested the approach and its impact on their capacity to locate a continuous musical sound rendered in varying 3D positions. Analysis of HRTF rankings across three separate sessions reveal encouraging levels of reliability amongst some participants. Patterns of interaction show a significant benefit to horizontal precision that results from the selection process. In contrast, length of system exposure (rather than HRTF preference) demonstrates a significant degree of improvement to aspects of vertical perception and overall speed of response, with no detriment to horizontal accuracy. These findings provide an initial basis from which to consider priorities in the design of audio-only immersive applications and accompanying methods for effective user controlled personalisation.

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