Direction and distance information in memory for location relative to landmarks
Bibliographic Data
| ID | 21283817 |
|---|---|
| Authors | Darin Galyer (George Washington University), Stephen Dopkins (0000-0001-7502-0776, George Washington University, corresponding author) |
| Year | 2023 |
| Volume | 240 |
| Pages | 104040 |
| Publication date | 2023-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Acta Psychologica (JOURNAL) |
| Journal identifiers | ISSN: 0001-6918 • E-ISSN: 1873-6297 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.actpsy.2023.104040 |
| PMID | 37751676 |
| OpenAlex | W4386998035 |
| Language | EN |
| References cited | 24 |
An object's location is often remembered relative to one or more landmarks. An object has a certain direction and distance relative to a landmark. When multiple landmarks are available the information from the different landmarks is integrated. In the prevailing view direction and distance are equally influential in the integration process. We present evidence that direction and distance are not always equally influential in landmark-based memory. During the study phase of our task, participants viewed a set of layouts, each comprising a target and two landmarks. During the test phase participants attempted to place each target in the correct location relative to the two landmarks. Our measure of direction deviation indexed the degree to which the targets were placed on the basis of distance rather than solely on the basis of direction. Our measure of distance deviation indexed the degree to which the targets were placed on the basis of direction rather than solely on the basis of distance. Direction deviation was smaller than distance deviation. The results suggest that direction is more influential than distance in memory for the locations of objects relative to landmarks
Acoustics · Basis (linear algebra) · Computer vision · Data mining · Degree (music) · Geometry · Landmark · Measure (data warehouse) · Object (grammar) · Pattern recognition (psychology) · Physics · Set (abstract data type) · Standard deviation · Statistics · Task (project management) · Artificial Intelligence · Child and Animal Learning Development · Computer Science · Engineering · Mathematics · Memory Processes and Influences · Spatial Cognition and Navigation
| Citation velocity | historical |
|---|---|
| Highly cited | No |