2018
DOI: 10.31234/osf.io/gbdcr
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Learning how to exploit sources of information

Abstract: How is our strategy for forming memories shaped by experience with a task? Previous work using surprise questions (i.e. unexpected by the participant) has shown a remarkable inability to report attributes of an attended target in a search display. This representational poverty presumably reflects a form of information exploitation, in which control processes specialize the conversion of available information into memory representations. We hypothesize that such control is refined by repeated experience with a … Show more

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Cited by 2 publications
(4 citation statements)
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“…This lends support to the idea that surprise trial failures in Experiment 1 and 2 were due to the lack of incidental memory forming, rather than the memory being damaged due to surprise-related interference. Participants learned to exploit task parameters and subsequently encode into memory only what was believed to be necessary to report post-search (March, 1991;Wyble et al, 2019).…”
Section: Discussionmentioning
confidence: 99%
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“…This lends support to the idea that surprise trial failures in Experiment 1 and 2 were due to the lack of incidental memory forming, rather than the memory being damaged due to surprise-related interference. Participants learned to exploit task parameters and subsequently encode into memory only what was believed to be necessary to report post-search (March, 1991;Wyble et al, 2019).…”
Section: Discussionmentioning
confidence: 99%
“…Rather, the parameters of the search inform an individual's task set, incentivizing the formation of memories if it aids them in completing a task. In other words, participants learn to exploit task parameters in order to optimize performance (March, 1991) Wyble, 2023;Wyble, et al, 2019). Though this can be viewed as a susceptibility of the cognitive system to expectation biases, it also highlights the remarkable ability of the human mind to optimize task performance in mere minutes, both in terms of minimizing resource use as well as quickly correcting to not be caught by surprise a second time.…”
Section: Discussionmentioning
confidence: 99%
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“…A second meaning is whether or not an irrelevant feature of a relevant object is automatically represented in WM. Several studies employing surprise tests with discrete report of previously irrelevant sample features observed near-chance performance (Chen and Wyble, 2016;Wyble et al, 2019), and decoding from fMRI or EEG data has shown little evidence for maintenance of task-irrelevant features (Yu and Shim, 2017;Bocincova and Johnson, 2019). However, surprise tests with a continuous report for a colour…”
Section: From Features To Objectsmentioning
confidence: 99%