Concurrent visual sequence learning
Bibliographic Data
| ID | 21533439 |
|---|---|
| Authors | Sarah Wilts (0000-0003-2397-0969, TH Köln - University of Applied Sciences, corresponding author), Hilde Haider (0000-0001-7293-3166, University of Cologne) |
| Year | 2023 |
| Volume | 87 |
| Issue | 7 |
| Pages | 2086-2100 |
| Publication date | 2023-10-01 |
| 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/s00426-023-01810-2 |
| PMID | 36947194 |
| OpenAlex | W4353020783 |
| Language | EN |
| Citations received | 1 |
| References cited | 53 |
Many researchers in the field of implicit statistical learning agree that there does not exist one general implicit learning mechanism, but rather, that implicit learning takes place in highly specialized encapsulated modules. However, the exact representational content of these modules is still under debate. While there is ample evidence for a distinction between modalities (e.g., visual, auditory perception), the representational content of the modules might even be distinguished by features within the same modalities (e.g., location, color, and shape within the visual modality). In implicit sequence learning, there is evidence for the latter hypothesis, as a stimulus-color sequence can be learned concurrently with a stimulus-location sequence. Our aim was to test whether this also holds true for non-spatial features within the visual modality. This has been shown in artificial grammar learning, but not yet in implicit sequence learning. Hence, in Experiment 1, we replicated an artificial grammar learning experiment of Conway and Christiansen (2006) in which participants were supposed to learn color and shape grammars concurrently. In Experiment 2, we investigated concurrent learning of sequences with an implicit sequence learning paradigm: the serial reaction time task. Here, we found evidence for concurrent learning of two sequences, a color and shape sequence. Overall, the findings converge to the assumption that implicit learning might be based on features
Cognition · Cognitive psychology · Implicit Learning · Natural language processing · Perception · Sequence learning · Serial reaction time · Visual learning · Action Observation and Synchronization · Child and Animal Learning Development · Computer Science · Multisensory perception and integration · Psychology · Artificial Intelligence
Attentional requirements of learning
Domain generality versus modality specificity
The Theory of Event Coding (TEC)
Implicit learning of artificial grammars
Event files
Action control according to TEC (theory of event coding)
Bayesian inference for psychology. Part II
The conscious access hypothesis
Post-decision wagering objectively measures awareness
Implicit learning and statistical learning
G*Power 3
The Jasp guidelines for conducting and reporting a Bayesian analysis
Implicit visual learning
Gambling on the unconscious
Implicit visual learning and the expression of learning
An old problem
Statistical learning research
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |