Investigating the effects of ongoing-task bias on prospective memory
Event-based prospective memory (PM) refers to the cognitive processes required to perform a planned action upon encountering a future event. Event-based PM studies engage participants in an ongoing task (e.g., lexical decision-making) with an instruction to make an alternative PM response to certain...
| Main Authors: | , , |
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| Format: | Journal Article |
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Taylor & Francis
2020
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| Online Access: | http://hdl.handle.net/20.500.11937/78449 |
| _version_ | 1848763963480735744 |
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| author | Strickland, Luke Loft, Shayne Heathcote, Andrew |
| author_facet | Strickland, Luke Loft, Shayne Heathcote, Andrew |
| author_sort | Strickland, Luke |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Event-based prospective memory (PM) refers to the cognitive processes required to perform a planned action upon encountering a future event. Event-based PM studies engage participants in an ongoing task (e.g., lexical decision-making) with an instruction to make an alternative PM response to certain items (e.g., items containing “tor”). The Prospective Memory Decision Control (PMDC) model, which provides a quantitative process account of ongoing-task and PM decisions, proposes that PM and ongoing-task processes compete in a race to threshold. We use PMDC to test whether, as proposed by the Delay Theory of PM costs, PM can be improved by biasing decision-making against a specific ongoing-task choice, so that the PM process is more likely to win the race. We manipulated bias in a lexical decision task with an accompanying PM intention. In one condition, a bias was induced against deciding items were words, and in another, a bias was induced against deciding items were non-words. The bias manipulation had little effect on PM accuracy but did affect the types of ongoing-task responses made on missed PM trials. PMDC fit the observed data well and verified that the bias manipulation had the intended effect on ongoing-task processes. Furthermore, although simulations from PMDC could produce an improvement in PM accuracy due to ongoing-task bias, this required implausible parameter values. These results illustrate the importance of understanding event-based PM in terms of a comprehensive model of the processes that interact to determine all aspects of task performance. |
| first_indexed | 2025-11-14T11:11:49Z |
| format | Journal Article |
| id | curtin-20.500.11937-78449 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:11:49Z |
| publishDate | 2020 |
| publisher | Taylor & Francis |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-784492020-06-09T04:58:15Z Investigating the effects of ongoing-task bias on prospective memory Strickland, Luke Loft, Shayne Heathcote, Andrew Event-based prospective memory (PM) refers to the cognitive processes required to perform a planned action upon encountering a future event. Event-based PM studies engage participants in an ongoing task (e.g., lexical decision-making) with an instruction to make an alternative PM response to certain items (e.g., items containing “tor”). The Prospective Memory Decision Control (PMDC) model, which provides a quantitative process account of ongoing-task and PM decisions, proposes that PM and ongoing-task processes compete in a race to threshold. We use PMDC to test whether, as proposed by the Delay Theory of PM costs, PM can be improved by biasing decision-making against a specific ongoing-task choice, so that the PM process is more likely to win the race. We manipulated bias in a lexical decision task with an accompanying PM intention. In one condition, a bias was induced against deciding items were words, and in another, a bias was induced against deciding items were non-words. The bias manipulation had little effect on PM accuracy but did affect the types of ongoing-task responses made on missed PM trials. PMDC fit the observed data well and verified that the bias manipulation had the intended effect on ongoing-task processes. Furthermore, although simulations from PMDC could produce an improvement in PM accuracy due to ongoing-task bias, this required implausible parameter values. These results illustrate the importance of understanding event-based PM in terms of a comprehensive model of the processes that interact to determine all aspects of task performance. 2020 Journal Article http://hdl.handle.net/20.500.11937/78449 10.1177/1747021820914915 Taylor & Francis fulltext |
| spellingShingle | Strickland, Luke Loft, Shayne Heathcote, Andrew Investigating the effects of ongoing-task bias on prospective memory |
| title | Investigating the effects of ongoing-task bias on prospective memory |
| title_full | Investigating the effects of ongoing-task bias on prospective memory |
| title_fullStr | Investigating the effects of ongoing-task bias on prospective memory |
| title_full_unstemmed | Investigating the effects of ongoing-task bias on prospective memory |
| title_short | Investigating the effects of ongoing-task bias on prospective memory |
| title_sort | investigating the effects of ongoing-task bias on prospective memory |
| url | http://hdl.handle.net/20.500.11937/78449 |