Measuring and Predicting Multisensory Reaction Latency : A Probabilistic Model for Visual-Auditory Integration

Virtual/augmented reality (VR/AR) devices offer both immersive imagery and sound. With those wide-field cues, we can simultaneously acquire and process visual and auditory signals to quickly identify objects, make decisions, and take action. While vision often takes precedence in perception, our vis...

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Veröffentlicht in:IEEE transactions on visualization and computer graphics. - 1996. - 30(2024), 11 vom: 09. Nov., Seite 7364-7374
1. Verfasser: Peng, Xi (VerfasserIn)
Weitere Verfasser: Zhang, Yunxiang, Jimenez-Navarro, Daniel, Serrano, Ana, Myszkowski, Karol, Sun, Qi
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
Zugriff auf das übergeordnete Werk:IEEE transactions on visualization and computer graphics
Schlagworte:Journal Article Research Support, U.S. Gov't, Non-P.H.S. Research Support, Non-U.S. Gov't
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520 |a Virtual/augmented reality (VR/AR) devices offer both immersive imagery and sound. With those wide-field cues, we can simultaneously acquire and process visual and auditory signals to quickly identify objects, make decisions, and take action. While vision often takes precedence in perception, our visual sensitivity degrades in the periphery. In contrast, auditory sensitivity can exhibit an opposite trend due to the elevated interaural time difference. What occurs when these senses are simultaneously integrated, as is common in VR applications such as 360° video watching and immersive gaming? We present a computational and probabilistic model to predict VR users' reaction latency to visual-auditory multisensory targets. To this aim, we first conducted a psychophysical experiment in VR to measure the reaction latency by tracking the onset of eye movements. Experiments with numerical metrics and user studies with naturalistic scenarios showcase the model's accuracy and generalizability. Lastly, we discuss the potential applications, such as measuring the sufficiency of target appearance duration in immersive video playback, and suggesting the optimal spatial layouts for AR interface design 
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700 1 |a Zhang, Yunxiang  |e verfasserin  |4 aut 
700 1 |a Jimenez-Navarro, Daniel  |e verfasserin  |4 aut 
700 1 |a Serrano, Ana  |e verfasserin  |4 aut 
700 1 |a Myszkowski, Karol  |e verfasserin  |4 aut 
700 1 |a Sun, Qi  |e verfasserin  |4 aut 
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