Mapping Methods of 3D Input Devices And Immersive Audio Environments Using Polar Coordinates For Panning.

Quiroz D, Martin D. Mapping Methods of 3D Input Devices And Immersive Audio Environments Using Polar Coordinates For Panning. In: AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020). Audio Engineering Society; 2020. Paper 10486. Available from: https://aes.org/publications/elibrary-page/?id=21163

@inproceedings{Quiroz2020_21163,
  author = {Quiroz, Diego and Martin, Denis},
  title = {{Mapping Methods of 3D Input Devices And Immersive Audio Environments Using Polar Coordinates For Panning.}},
  booktitle = {AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020)},
  note = {Paper 10486},
  year = {2020},
  month = aug,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=21163}
}

TY  - CPAPER
TI  - Mapping Methods of 3D Input Devices And Immersive Audio Environments Using Polar Coordinates For Panning.
AU  - Quiroz, Diego
AU  - Martin, Denis
T2  - AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020)
M1  - Paper 10486
PY  - 2020
DA  - 2020/08/06
UR  - https://aes.org/publications/elibrary-page/?id=21163
PB  - Audio Engineering Society
LA  - en
AB  - This study explores different mapping implementations for various input devices for an immersive mixing task within a polar coordinate system mixing space. A test, in which subjects were asked to pan a monophonic sound object (probe) to the location of a pink noise burst (target), was conducted in a custom 3D loudspeaker array. The objectives were to determine how quickly and accurate the subjects were able to perform the task using each device, which was most appropriate, and which was most preferred overall. Results show significant differences in response time between devices. Input devices with high level of integrality in and direct mapping to spatial parameters were the most accurate and fastest in trial duration when performing the task. Futures studies will involve a more thorough immersive audio mixing task that allows further detail into the variables investigated .
ER  -