O'Dowd A, Hirst R J, Seveso M A, McKenna E M, Newell F N
School of Psychology and Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.
Department of Psychology, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.
Psychon Bull Rev. 2025 Feb;32(1):417-429. doi: 10.3758/s13423-024-02548-7. Epub 2024 Aug 5.
Although the integration of information across multiple senses can enhance object representations in memory, how multisensory information affects the formation of categories is uncertain. In particular, it is unclear to what extent categories formed from multisensory information benefit object recognition over unisensory inputs. Two experiments investigated the categorisation of novel auditory and visual objects, with categories defined by spatial similarity, and tested generalisation to novel exemplars. Participants learned to categorise exemplars based on visual-only (geometric shape), auditory-only (spatially defined soundscape) or audio-visual spatial cues. Categorisation to learned as well as novel exemplars was then tested under the same sensory learning conditions. For all learning modalities, categorisation generalised to novel exemplars. However, there was no evidence of enhanced categorisation performance for learned multisensory exemplars. At best, bimodal performance approximated that of the most accurate unimodal condition, although this was observed only for a subset of exemplars within a category. These findings provide insight into the perceptual processes involved in the formation of categories and have relevance for understanding the sensory nature of object representations underpinning these categories.
尽管跨多种感官整合信息能够增强记忆中的物体表征,但多感官信息如何影响类别形成尚不确定。特别是,由多感官信息形成的类别在多大程度上比单感官输入更有利于物体识别尚不清楚。两项实验研究了新颖听觉和视觉物体的分类,类别由空间相似性定义,并测试了对新颖范例的泛化能力。参与者学习根据仅视觉(几何形状)、仅听觉(空间定义的音景)或视听空间线索对范例进行分类。然后在相同的感官学习条件下测试对已学习范例以及新颖范例的分类。对于所有学习模式,分类都能泛化到新颖范例。然而,没有证据表明已学习的多感官范例的分类性能有所增强。充其量,双峰表现接近最准确的单峰条件下的表现,尽管这仅在一个类别中的一部分范例中观察到。这些发现为类别形成所涉及的感知过程提供了见解,并与理解支撑这些类别的物体表征的感官性质相关。