Head Rotation Data Extraction from Virtual Reality Gameplay Using Non-Individualized HRTFs

Calle JS, Roginska A. Head Rotation Data Extraction from Virtual Reality Gameplay Using Non-Individualized HRTFs. In: AES Convention 143. Audio Engineering Society; 2017. Paper 9893. Available from: https://aes.org/publications/elibrary-page/?id=19290

@inproceedings{Calle2017_19290,
  author = {Calle, Juan Simon and Roginska, Agnieszka},
  title = {{Head Rotation Data Extraction from Virtual Reality Gameplay Using Non-Individualized HRTFs}},
  booktitle = {AES Convention 143},
  note = {Paper 9893},
  year = {2017},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=19290}
}

TY  - CPAPER
TI  - Head Rotation Data Extraction from Virtual Reality Gameplay Using Non-Individualized HRTFs
AU  - Calle, Juan Simon
AU  - Roginska, Agnieszka
T2  - AES Convention 143
M1  - Paper 9893
PY  - 2017
DA  - 2017/10/06
UR  - https://aes.org/publications/elibrary-page/?id=19290
PB  - Audio Engineering Society
LA  - en
AB  - A game was created to analyze the subject’s head rotation during the process of localizing a sound in a 360-degree sphere in a VR gameplay. In this game the subjects are asked to locate a series of sounds that are randomly placed in a sphere around their heads using generalized HRTFs. The only instruction given to the subjects is that they need to locate the sounds as fast and accurate as possible by looking at where the sound was and then pressing a trigger. To test this tool 16 subjects were used. It showed that the average time that it took the subjects to locate the sound was 3.7±1.8 seconds. The average error in accuracy was 15.4 degrees. The average time that it took the subjects to start moving their head was 0.2 seconds approximately. The average rotation speed achieved its maximum value at 0.8 seconds and the average speed at this point was approximately 102 degrees per second.
ER  -