Global Processing Styles Facilitate the Discovery of Structural Similarity
Bibliographic Data
| ID | 13655386 |
|---|---|
| Authors | Jiansheng Li (0000-0002-3708-3677), Zhang Xiao-zhen, Xiaozhen Zhang (0000-0003-4446-3050), Hao Zheng (0000-0002-3370-7665), Qingqiu Lu (Northwest Normal University), Gang Fan (0000-0002-3023-9472, Gansu Institute of Political Science and Law, corresponding author) |
| Year | 2018 |
| Volume | 122 |
| Issue | 5 |
| Pages | 1755-1765 |
| Publication date | 2018-07-30 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Psychological Reports (JOURNAL) |
| Journal identifiers | ISSN: 0033-2941 • E-ISSN: 1558-691X |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/0033294118787499 |
| PMID | 30060714 |
| OpenAlex | W2886003017 |
| Language | EN |
| Citations received | 3 |
| References cited | 27 |
This study examined whether global processing style facilitates the discovery of structural similarity. In the two experiments, the participants were presented with three stories after being primed with global or local processing through a Navon task. The first story was the base story, and the other two stories shared either surface similarity or structural similarity with the base story. The results showed that, compared with the participants of the local processing and control groups, a substantially greater number of participants of the global processing group selected the story with structural similarity to the base story. This finding indicated that the global processing style can facilitate the discovery of structural similarity
Base (topology · Cognitive psychology · Image (mathematics · Similarity (geometry · Structural similarity · Style (visual arts · Task (project management · Artificial Intelligence · Computer Science · Creativity in Education and Neuroscience · Engineering · History · Language, Metaphor, and Cognition · Mathematics · Psychology · Visual and Cognitive Learning Processes
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| Unique citing works | 3 |
|---|---|
| Citations per year | 1,5 |
| Citation span | 2024 - 2025 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |