TY - GEN
T1 - Empirical Evaluation of Calibration and Long-term Carryover Effects of Reverberation on Egocentric Auditory Depth Perception in VR
AU - Lin, Wan Yi
AU - Wang, Ying Chu
AU - Wu, Dai Rong
AU - Venkatakrishnan, Rohith
AU - Venkatakrishnan, Roshan
AU - Ebrahimi, Elham
AU - Pagano, Christopher
AU - Babu, Sabarish V.
AU - Lin, Wen Chieh
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Distance compression, which refers to the underestimation of ego-centric distance to objects, is a common problem in immersive virtual environments. Besides visually compensating the compressed distance, several studies have shown that auditory information can be an alternative solution for this problem. In particular, reverberation time (RT) has been proven to be an effective method to compensate distance compression. To further explore the feasibility of applying audio information to improve distance perception, we investigate whether users' egocentric distance perception can be calibrated, and whether the calibrated effect can be carried over and even sustain for a longer duration. We conducted a study to understand the perceptual learning and carryover effects by using RT as stimuli for users to perceive distance in IVEs. The results show that the carryover effect exists after calibration, which indicates people can learn to perceive distances by attuning reverberation time, and the accuracy even remains a constant level after 6 months. Our findings could potentially be utilized to improve the distance perception in VR systems as the calibration of auditory distance perception in VR could sustain for several months. This could eventually avoid the burden of frequent training regimens.
AB - Distance compression, which refers to the underestimation of ego-centric distance to objects, is a common problem in immersive virtual environments. Besides visually compensating the compressed distance, several studies have shown that auditory information can be an alternative solution for this problem. In particular, reverberation time (RT) has been proven to be an effective method to compensate distance compression. To further explore the feasibility of applying audio information to improve distance perception, we investigate whether users' egocentric distance perception can be calibrated, and whether the calibrated effect can be carried over and even sustain for a longer duration. We conducted a study to understand the perceptual learning and carryover effects by using RT as stimuli for users to perceive distance in IVEs. The results show that the carryover effect exists after calibration, which indicates people can learn to perceive distances by attuning reverberation time, and the accuracy even remains a constant level after 6 months. Our findings could potentially be utilized to improve the distance perception in VR systems as the calibration of auditory distance perception in VR could sustain for several months. This could eventually avoid the burden of frequent training regimens.
KW - Auditory Reverberation
KW - Calibration
KW - Computing methodologies [Computer Graphics]: Graphics systems and interfaces - Perception Human-centered computing [Human computer interaction (HCI)]: Interaction paradigms - Virtual reality
KW - Depth Perception
KW - Perceptual Learning
UR - http://www.scopus.com/inward/record.url?scp=85129348390&partnerID=8YFLogxK
U2 - 10.1109/VR51125.2022.00042
DO - 10.1109/VR51125.2022.00042
M3 - Conference contribution
AN - SCOPUS:85129348390
T3 - Proceedings - 2022 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2022
SP - 232
EP - 240
BT - Proceedings - 2022 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 29th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2022
Y2 - 12 March 2022 through 16 March 2022
ER -