Abstract / Description of output
Contemporary neuroscience theories assume that concepts are formed through experience in multiple sensory-motor modalities. Quantifying the contribution of each modality to different object categories is critical to understanding the structure of the conceptual system and to explaining category-specific knowledge deficits. Verbal feature listing is typically used to elicit this information but has a number of drawbacks: sensory knowledge often cannot easily be translated into verbal features and many features are experienced in multiple modalities. Here, we employed a more direct approach in which subjects rated their knowledge of objects in each sensory-motor modality separately. Compared with these ratings, feature listing over-estimated the importance of visual form and functional knowledge and under-estimated the contributions of other sensory channels. An item's sensory rating proved to be a better predictor of lexical-semantic processing speed than the number of features it possessed, suggesting that ratings better capture the overall quantity of sensory information associated with a concept. Finally, the richer, multi-modal rating data not only replicated the sensory-functional distinction between animals and non-living things but also revealed novel distinctions between different types of artefact. Hierarchical cluster analyses indicated that mechanical devices (e.g., vehicles) were distinct from other non-living objects because they had strong sound and motion characteristics, making them more similar to animals in this respect. Taken together, the ratings align with neuroscience evidence in suggesting that a number of distinct sensory processing channels make important contributions to object knowledge. Multi-modal ratings for 160 objects are provided as supplementary materials.
Original language | English |
---|---|
Pages (from-to) | 14-25 |
Number of pages | 12 |
Journal | Neuropsychologia |
Volume | 51 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jan 2013 |
Keywords / Materials (for Non-textual outputs)
- Cluster Analysis
- Concept Formation
- Female
- Humans
- Knowledge
- Male
- Pattern Recognition, Visual
- Pitch Perception
- Reaction Time
- Regression Analysis
- Semantics
- Smell
- Sound
- Vocabulary
- Young Adult