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Visuo-haptic integration in object identification using novel objects

机译:使用小说对象的对象识别中的Visoo-触觉集成

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Although some studies have shown that haptic and visual identification seem to rely on similar processes, few studies have directly compared the two. We investigated haptic and visual object identification by asking participants to learn to recognize (Experiments 1, and 3), or to match (Experiment 2) novel objects that varied only in shape. Participants explored objects haptically, visually, or bimodally, and were then asked to identify objects haptically and/or visually. We demonstrated that patterns of identification errors were similar across identification modality, independently of learning and testing condition, suggesting that the haptic and visual representations in memory were similar. We also demonstrated that identification performance depended on both learning and testing conditions: visual identification surpassed haptic identification only when participants explored the objects visually or bimodally. When participants explored the objects haptically, haptic and visual identification were equivalent. Interestingly, when participants were simultaneously presented with two objects (one was presented haptically, and one was presented visually), object similarity only influenced performance when participants were asked to indicate whether the two objects were the same, or when participants had learned about the objects visually-without any haptic input. The results suggest that haptic and visual object representations rely on similar processes, that they may be shared, and that visual processing may not always lead to the best performance.
机译:虽然有些研究表明,触觉和视觉识别似乎依赖于类似的过程,但很少有研究直接比较了这两个。我们通过要求参与者学会识别(实验1和3)或匹配(实验2)仅在形状而变化的新物体来调查触觉和视觉对象识别。与会者拔除对象,视觉上或双倍探讨,然后被要求仔细地和/或视觉识别对象。我们证明,识别误差模式横跨识别模态类似,独立于学习和测试条件,表明内存中的触觉和视觉表示类似。我们还证明了识别性能取决于学习和测试条件:只有当参与者视觉或双倍探讨对象时,才会超越触觉识别。当参与者仔细探讨对象时,触觉和视觉识别等同于。有趣的是,当参与者同时用两个物体呈现(一个仔细呈现,一个目的地呈现),当要求参与者指示两个对象是否相同时,对象相似性仅受影响的性能,或者当参与者了解对象时视觉上 - 没有任何触觉输入。结果表明,触觉和视觉对象表示依赖于类似的过程,即它们可以共享,并且视觉处理可能并不总是导致最佳性能。

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