Rangelov, D. and Muller, Hermann J. and Zehetleitner, M. (2012) The multiple-weighting-systems hypothesis: theory and empirical support. Attention, Perception, & Psychophysics 74 (3), pp. 540-552. ISSN 1943-3921.
Abstract
Observers respond faster when the task-relevant perceptual dimension repeats across consecutive trials (e.g., color–color) relative to when it changes (orientation–color)—the phenomenon termed the dimension repetition effect (DRE). Similarly, when two (or more) different tasks are made to vary randomly across trials, observers are faster when the task repeats, relative to task changes—the phenomenon termed task-switch cost (TSC). Hitherto, the DRE and TSC effects have been discussed independently of each other. Critically, either effect was explained by assuming a single mechanism giving rise to DREs or TSCs. Here, we elaborate strong conceptual similarities between the DRE and TSC effects; we introduce the concept of criterion-specific intertrial sequence effects, with DREs and TSCs being different manifestations of criterion-specific effects. Second, we review available evidence suggesting that none of the single mechanism explanations can readily account for all the findings in the literature. Third, we elaborate on the multiple-weighting-systems (or MWS) hypothesis, a recently proposed account that postulates the existence of several, independent mechanisms sensitive to intertrial sequences. Finally, we test predictions derived from the MWS hypothesis in two novel experiments and discuss the results from both the single- and multiple-mechanism perspectives.
Metadata
Item Type: | Article |
---|---|
Keyword(s) / Subject(s): | dimension repetition effect, task switching, multiple weighting systems, dimensional weighting |
School: | Birkbeck Faculties and Schools > Faculty of Science > School of Psychological Sciences |
Depositing User: | Sarah Hall |
Date Deposited: | 29 Oct 2015 14:43 |
Last Modified: | 02 Aug 2023 17:19 |
URI: | https://eprints.bbk.ac.uk/id/eprint/13215 |
Statistics
Additional statistics are available via IRStats2.