BibTex format
@inproceedings{Isaac:2017,
author = {Isaac, Engel J and Picinali, L},
title = {Long-term user adaptation to an audio augmented reality system},
year = {2017}
}
In this section
@inproceedings{Isaac:2017,
author = {Isaac, Engel J and Picinali, L},
title = {Long-term user adaptation to an audio augmented reality system},
year = {2017}
}
TY - CPAPER
AB - Audio Augmented Reality (AAR) consists in extending a real auditory environment with virtual sound sources. This can be achieved using binaural earphones/microphones. The microphones, placed in the outer part of each earphone, record sounds from the user's environment, which are then mixed with virtual binaural audio, and the resulting signal is finally played back through the earphones. However, previous studies show that, with a system of this type, audio coming from the microphones (or hear-through audio) does not sound natural to the user. The goal of this study is to explore the capabilities of long-term user adaptation to an AAR system built with off-the-shelf components (a pair of binaural microphones/earphones and a smartphone), aiming at achieve perceived realism for the hear-through audio. To compensate the acoustical effects of ear canal occlusion, the recorded signal is equalised in the smartphone. In-out latency was minimised to avoid distortion caused by comb filtering effect. To evaluate the adaptation process of the users to the headset, two case studies were performed. The subjects wore an AAR headset for several days while performing daily tests to check the progress of the adaptation. Both quantitative and qualitative evaluations (i.e., localising real and virtual sound sources and analysing the perception of pre-recorded auditory scenes) were carried out, finding slight signs of adaptation, especially in the subjective tests. A demo will be available for the conference visitors, including also the integration of visual Augmented Reality functionalities.
AU - Isaac,Engel J
AU - Picinali,L
PY - 2017///
TI - Long-term user adaptation to an audio augmented reality system
ER -
For more information about the group, please contact:
Dr Dan Goodman
+44 (0)20 7594 6264
d.goodman@imperial.ac.uk