Integration of visual landmark cues in spatial memory
Bibliographic Data
| ID | 21533624 |
|---|---|
| Authors | Phillip M Newman (0000-0003-3074-5663, Vanderbilt University, corresponding author), Timothy P Mcnamara (0000-0002-0441-7263, Vanderbilt University) |
| Year | 2022 |
| Volume | 86 |
| Issue | 5 |
| Pages | 1636-1654 |
| Publication date | 2022-07-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Psychological Research (JOURNAL) |
| Journal identifiers | ISSN: 0340-0727 • E-ISSN: 1430-2772 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s00426-021-01581-8 |
| PMID | 34420070 |
| OpenAlex | W3195543081 |
| Language | EN |
| Citations received | 4 |
| References cited | 55 |
Over the past two decades, much research has been conducted to investigate whether humans are optimal when integrating sensory cues during spatial memory and navigational tasks. Although this work has consistently demonstrated optimal integration of visual cues (e.g., landmarks) with body-based cues (e.g., path integration) during human navigation, little work has investigated how cues of the same sensory type are integrated in spatial memory. A few recent studies have reported mixed results, with some showing very little benefit to having access to more than one landmark, and others showing that multiple landmarks can be optimally integrated in spatial memory. In the current study, we employed a combination of immersive and non-immersive virtual reality spatial memory tasks to test adult humans' ability to integrate multiple landmark cues across six experiments. Our results showed that optimal integration of multiple landmark cues depends on the difficulty of the task, and that the presence of multiple landmarks can elicit an additional latent cue when estimating locations from a ground-level perspective, but not an aerial perspective
Cognition · Cognitive psychology · Computer vision · Landmark · Path integration · Sensory cue · Sensory system · Spatial memory · Working memory · Categorization, perception, and language · Child and Animal Learning Development · Computer Science · Neuroscience · Psychology · Spatial Cognition and Navigation · Artificial Intelligence
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| Unique citing works | 4 |
|---|---|
| Citations per year | 1.33 |
| Citation span | 2023 - 2025 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |