The effect of spatial distance between objects on categorization level
Bibliographic Data
| ID | 21640958 |
|---|---|
| Authors | Iris K Schneider (0000-0003-0915-0809, Cologne Institute for Economic Research, corresponding author), André Mattes (0000-0002-4821-8012, University of Cologne) |
| Year | 2022 |
| Volume | 29 |
| Issue | 1 |
| Pages | 230-242 |
| Publication date | 2022-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Psychonomic Bulletin & Review (JOURNAL) |
| Journal identifiers | ISSN: 1069-9384 • E-ISSN: 1531-5320 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.3758/s13423-021-01949-2 |
| PMID | 34339003 |
| OpenAlex | W3191453503 |
| Language | EN |
| Citations received | 3 |
| References cited | 29 |
We show that spatial distance between two objects influences how people categorize these objects. We report three (two pre-registered) experiments that show that when objects are presented close together (proximal), they are more likely to be categorized in a superordinate category than when they are presented further apart (distant). In Experiments 1A and 1B, participants provided spontaneous category labels in an open response format. In Experiment 2, we asked participants to indicate their preference for either of two category labels. We found that when objects were close together, they were categorized more often into superordinate categories than when objects were far apart (Experiments 1A and 2). Our findings demonstrate that the categorization of objects is, in part, determined by where they are in relation to other objects
Categorization · Cognitive psychology · Preference · Spatial relation · Statistics · Superordinate goals · Categorization, perception, and language · Child and Animal Learning Development · Communication · Computer Science · Mathematics · Multisensory perception and integration · Psychology · Social Psychology · Artificial Intelligence
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| Unique citing works | 3 |
|---|---|
| Citations per year | 1 |
| Citation span | 2023 - 2023 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 3 |