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视觉与触觉形状信息的最优整合。

Optimal integration of shape information from vision and touch.

作者信息

Helbig Hannah B, Ernst Marc O

机构信息

Max Planck Institute for Biological Cybernetics, Spemannstr. 38, 72076 Tübingen, Germany.

出版信息

Exp Brain Res. 2007 Jun;179(4):595-606. doi: 10.1007/s00221-006-0814-y. Epub 2007 Jan 16.

Abstract

Many tasks can be carried out by using several sources of information. For example, an object's size and shape can be judged based on visual as well as haptic cues. It has been shown recently that human observers integrate visual and haptic size information in a statistically optimal fashion, in the sense that the integrated estimate is most reliable (Ernst and Banks in Nature 415:429-433, 2002). In the present study, we tested whether this holds also for visual and haptic shape information. In previous studies virtual stimuli were used to test for optimality in integration. Virtual displays may, however, contain additional inappropriate cues that provide conflicting information and thus affect cue integration. Therefore, we studied optimal integration using real objects. Furthermore, we presented visual information via mirrors to create a spatial separation between visual and haptic cues while observers saw their hand touching the object and thus, knew that they were seeing and feeling the same object. Does this knowledge promote integration even though signals are spatially discrepant which has been shown to lead to a breakdown of integration (Gepshtein et al. in J Vis 5:1013-1023, 2005)? Consistent with the model predictions, observers weighted visual and haptic cues to shape according to their reliability: progressively more weight was given to haptics when visual information became less reliable. Moreover, the integrated visual-haptic estimate was more reliable than either unimodal estimate. These findings suggest that observers integrate visual and haptic shape information of real 3D objects. Thereby, knowledge that multisensory signals arise from the same object seems to promote integration.

摘要

许多任务可以通过使用多种信息源来完成。例如,物体的大小和形状可以基于视觉和触觉线索来判断。最近的研究表明,人类观察者以统计上最优的方式整合视觉和触觉大小信息,从这个意义上说,整合后的估计是最可靠的(恩斯特和班克斯,《自然》415卷:429 - 433页,2002年)。在本研究中,我们测试了这一点对于视觉和触觉形状信息是否也成立。在之前的研究中,使用虚拟刺激来测试整合的最优性。然而,虚拟显示器可能包含额外的不适当线索,这些线索会提供相互冲突的信息,从而影响线索整合。因此,我们使用真实物体来研究最优整合。此外,我们通过镜子呈现视觉信息,以在视觉和触觉线索之间创造空间分离,同时观察者看到他们的手触摸物体,从而知道他们正在看到和感觉到同一个物体。即使信号在空间上存在差异,这种认知是否会促进整合一直被证明会导致整合失败(格普施泰因等人,《视觉杂志》5卷:1013 - 1023页,2005年)?与模型预测一致,观察者根据视觉和触觉线索的可靠性对形状线索进行加权:当视觉信息变得不太可靠时,逐渐增加对触觉的权重。此外,整合后的视觉 - 触觉估计比任何一种单模态估计都更可靠。这些发现表明,观察者整合真实三维物体的视觉和触觉形状信息。因此,多感官信号来自同一物体的认知似乎会促进整合。

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