Temporal context modulates the recovery of the attentional blink
Abstract Humans usually adjust their attentional mode to tackle the challenges posed by environmental inputs. Depending on the uncertainty level, different attentional strategies may be adopted. As people face increasingly complicated daily situations—e.g., driving a car or chatting online—where int...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-03-01
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| Series: | Cognitive Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s41235-025-00625-6 |
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| Summary: | Abstract Humans usually adjust their attentional mode to tackle the challenges posed by environmental inputs. Depending on the uncertainty level, different attentional strategies may be adopted. As people face increasingly complicated daily situations—e.g., driving a car or chatting online—where intervals between significant events do not necessarily follow certain rules but are likely random, it appears important to understand how temporal contexts with different uncertainty levels affect temporal attention allocation when processing rapid serial inputs. We pursued this issue by employing a task examining the temporal limit of attention—the attentional blink (AB). The manipulation of temporal context was achieved by presenting trials with different inter-target intervals following either a “random-walk” or a “random” sequence. The results suggest a facilitated recovery from the AB deficit in the “random” compared to “random-walk” context, without a corresponding change in AB magnitude. Such effect is likely attributed to the higher perceived uncertainty in the former, and could be attenuated by a decrease in the temporal uncertainty level. These observations suggest that observers likely adopted a more flexible temporal attention allocation in the more unpredictable “random” context; they also support non-overlapping mechanisms responsible for AB width/duration and amplitude or lag-1 sparing. The flexibility of temporal attentional control may provide an evolutionary advantage for organisms to deal with unpredictable changes and is likely to be exploited for reference in the design of human–machine interacting platforms. |
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| ISSN: | 2365-7464 |