Experimental Psychology, Justus Liebig University Giessen, Giessen, Hessen, Germany.
Centre for Vision Research, York University, Toronto, Ontario, Canada.
PLoS One. 2023 Mar 15;18(3):e0282975. doi: 10.1371/journal.pone.0282975. eCollection 2023.
Perceiving our orientation and motion requires sensory information provided by vision, our body and acceleration. Normally, these cues are redundant however in some situations they can conflict. Here, we created a visual-vestibular conflict by simulating a body-upright virtual world while participants were either standing (no conflict), supine or prone (conflict) and assessed the perception of "forward" distance travelled induced by visual motion. Some participants felt they were standing upright even when lying, indicating a visual reorientation illusion (VRI). We previously showed that when experiencing a VRI, visually induced self-motion is enhanced. Here, we determined if there was a relationship between VRI vulnerability and sensory weighting. Confirming our previous findings, the VRI-vulnerable group showed enhanced self-motion perception. We then assessed the relative weightings of visual and non-visual cues in VRI-vulnerable and VRI-resistant individuals using the Oriented Character Recognition Test. Surprisingly, VRI-vulnerable individuals weighted visual cues less and gravity cues more compared to VRI-resistant individuals. These findings are in line with robust integration where, when the difference between two cues is large, the discrepant cue (here gravity) is ignored. Ignoring the gravity cue then leads to relatively more emphasis being placed on visual information and thus a higher gain.
感知我们的方向和运动需要视觉、身体和加速度提供的感觉信息。通常情况下,这些线索是冗余的,但在某些情况下它们会发生冲突。在这里,我们通过模拟一个身体直立的虚拟世界来产生视觉-前庭冲突,同时参与者要么站立(无冲突),要么仰卧或俯卧(冲突),并评估视觉运动引起的“向前”行进距离的感知。有些参与者即使躺着也觉得自己是直立的,这表明存在视觉重新定位错觉(VRI)。我们之前曾表明,当经历 VRI 时,视觉引起的自我运动增强。在这里,我们确定了 VRI 易感性和感觉加权之间是否存在关系。证实了我们之前的发现,VRI 易感性组表现出增强的自我运动感知。然后,我们使用定向字符识别测试评估了 VRI 易感性和 VRI 抵抗个体中视觉和非视觉线索的相对权重。令人惊讶的是,与 VRI 抵抗个体相比,VRI 易感性个体对视觉线索的权重较小,对重力线索的权重较大。这些发现与强大的整合一致,当两个线索之间的差异较大时,不一致的线索(这里是重力)被忽略。忽略重力线索会导致相对更多地强调视觉信息,从而获得更高的增益。