| Title: |
Modeling Short- and Long-Term Memory Contributions to Recent Event Recognition |
| Language: |
English |
| Authors: |
Nosofsky, Robert M. (ORCID 0000-0002-2494-2719); Cao, Rui (ORCID 0000-0003-0538-5336); Harding, Samuel M. (ORCID 0000-0002-7476-405X); Shiffrin, Richard M. |
| Source: |
Journal of Experimental Psychology: Learning, Memory, and Cognition. Feb 2021 47(2):316-342. |
| Availability: |
American Psychological Association. Journals Department, 750 First Street NE, Washington, DC 20002. Tel: 800-374-2721; Tel: 202-336-5510; Fax: 202-336-5502; e-mail: order@apa.org; Web site: http://www.apa.org |
| Peer Reviewed: |
Y |
| Page Count: |
27 |
| Publication Date: |
2021 |
| Document Type: |
Journal Articles; Reports - Research |
| Descriptors: |
Long Term Memory; Short Term Memory; Recognition (Psychology); Cognitive Mapping; Models; Pictorial Stimuli; Experiments; Task Analysis; Familiarity; Item Response Theory |
| DOI: |
10.1037/xlm0000812 |
| ISSN: |
0278-7393 |
| Abstract: |
Participants gave recognition judgments for short lists of pictures of everyday objects. Pictures in a given list were an equal mixture of three types that varied according to the way they were used as targets and foils earlier in the same session. Under consistent-mapping (CM), targets and foils never switch roles; under varied-mapping (VM), targets and foils switch roles randomly across trials; whereas all-new (AN) items are novel on each trial of the experiment. Past research has shown that markedly enhanced performance occurs in CM conditions, leading to conclusions that item-response learning takes place in CM, perhaps automatically. However, almost all past research has compared CM, VM, and AN performance in between-blocks designs in which participants may adopt different cognitive strategies and criterion settings across the conditions. The present mixed-list design holds constant the strategy and criterion settings that are used for CM, VM, and AN items, and produced patterns of performance dramatically different than those observed in pure-list control conditions. We develop an extended version of an exemplar-based random-walk model of probe recognition to account for the major qualitative effects in the data. The data and the modeling provide evidence for strong item-response learning for CM foils but weak item-response learning for CM targets. We consider possible explanations for these effects in our General Discussion. |
| Abstractor: |
As Provided |
| Notes: |
https://osf.io/t9npc/?view_only=35b26a11761b4f7692cb39dec6278066 |
| Entry Date: |
2021 |
| Accession Number: |
EJ1283152 |
| Database: |
ERIC |