The dynamics of stability and flexibility: How attentional and cognitive control support multitasking under time pressure
Managing the trade-off between stability (robustness to interference) and flexibility (readiness to adapt to change) places considerable demands on human attention, cognitive control, and meta-control processes. However, little is known about the cognitive mechanisms driving stability–flexibility ad...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
APA
2025
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| Online Access: | http://purl.org/au-research/grants/arc/DP200101842 http://hdl.handle.net/20.500.11937/97502 |
| _version_ | 1848766284479594496 |
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| author | Boag, Russell Strickland, Luke Heathcote, Andrew Loft, Shayne |
| author_facet | Boag, Russell Strickland, Luke Heathcote, Andrew Loft, Shayne |
| author_sort | Boag, Russell |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Managing the trade-off between stability (robustness to interference) and flexibility (readiness to adapt to change) places considerable demands on human attention, cognitive control, and meta-control processes. However, little is known about the cognitive mechanisms driving stability–flexibility adaptation in multitasking contexts, and such mechanisms have implications for effective task completion in everyday life and in complex work settings, particularly when individuals enter performance “red zones” where task demands exceed capacity to manage them. We present a computational model that explains how individuals, in a cognitively demanding prospective memory (PM) paradigm, cognitively adapt to the relative prevalence of competing task responses to achieve more stable or more flexible performance under conditions in and out of the “red zone” (high vs. low time pressure). The model explained observed ongoing- and PM-task performance in terms of the quality and quantity of attentional capacity directed to each task and context-sensitive differences in proactive and reactive cognitive control. The results are consistent with a view of stability and flexibility as potentially independent dimensions of control, the management of which is subject to human processing/capacity constraints. The model furthers understanding of human cognitive flexibility, with potential implications for humans working in dynamic, information-rich settings requiring behavioral flexibility. |
| first_indexed | 2025-11-14T11:48:42Z |
| format | Journal Article |
| id | curtin-20.500.11937-97502 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:48:42Z |
| publishDate | 2025 |
| publisher | APA |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-975022025-06-10T07:32:11Z The dynamics of stability and flexibility: How attentional and cognitive control support multitasking under time pressure Boag, Russell Strickland, Luke Heathcote, Andrew Loft, Shayne Managing the trade-off between stability (robustness to interference) and flexibility (readiness to adapt to change) places considerable demands on human attention, cognitive control, and meta-control processes. However, little is known about the cognitive mechanisms driving stability–flexibility adaptation in multitasking contexts, and such mechanisms have implications for effective task completion in everyday life and in complex work settings, particularly when individuals enter performance “red zones” where task demands exceed capacity to manage them. We present a computational model that explains how individuals, in a cognitively demanding prospective memory (PM) paradigm, cognitively adapt to the relative prevalence of competing task responses to achieve more stable or more flexible performance under conditions in and out of the “red zone” (high vs. low time pressure). The model explained observed ongoing- and PM-task performance in terms of the quality and quantity of attentional capacity directed to each task and context-sensitive differences in proactive and reactive cognitive control. The results are consistent with a view of stability and flexibility as potentially independent dimensions of control, the management of which is subject to human processing/capacity constraints. The model furthers understanding of human cognitive flexibility, with potential implications for humans working in dynamic, information-rich settings requiring behavioral flexibility. 2025 Journal Article http://hdl.handle.net/20.500.11937/97502 10.1037/xge0001749 http://purl.org/au-research/grants/arc/DP200101842 http://purl.org/au-research/grants/arc/DE230100171 http://purl.org/au-research/grants/arc/DP2101003130 http://purl.org/au-research/grants/arc/FT190100812 APA restricted |
| spellingShingle | Boag, Russell Strickland, Luke Heathcote, Andrew Loft, Shayne The dynamics of stability and flexibility: How attentional and cognitive control support multitasking under time pressure |
| title | The dynamics of stability and flexibility: How attentional and cognitive control support multitasking
under time pressure |
| title_full | The dynamics of stability and flexibility: How attentional and cognitive control support multitasking
under time pressure |
| title_fullStr | The dynamics of stability and flexibility: How attentional and cognitive control support multitasking
under time pressure |
| title_full_unstemmed | The dynamics of stability and flexibility: How attentional and cognitive control support multitasking
under time pressure |
| title_short | The dynamics of stability and flexibility: How attentional and cognitive control support multitasking
under time pressure |
| title_sort | dynamics of stability and flexibility: how attentional and cognitive control support multitasking
under time pressure |
| url | http://purl.org/au-research/grants/arc/DP200101842 http://purl.org/au-research/grants/arc/DP200101842 http://purl.org/au-research/grants/arc/DP200101842 http://purl.org/au-research/grants/arc/DP200101842 http://hdl.handle.net/20.500.11937/97502 |