2013
DOI: 10.1016/j.cogsys.2012.12.012
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A rational approach to memory search termination

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Cited by 4 publications
(7 citation statements)
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“…A ubiquitous aspect of searching through a pile of papers or through memory is the decision to give up the search. Search termination decisions in memory search are under intense investigation (Davelaar, Yu, Harbison, Hussey, & Dougherty, 2013;Harbison et al, 2009;Unsworth, Brewer, & Spiller, 2011). With the cRAT, giving up the search might induce new stages of the search process, such as allowing the activation of competitor items to fully decay.…”
Section: Discussionmentioning
confidence: 99%
“…A ubiquitous aspect of searching through a pile of papers or through memory is the decision to give up the search. Search termination decisions in memory search are under intense investigation (Davelaar, Yu, Harbison, Hussey, & Dougherty, 2013;Harbison et al, 2009;Unsworth, Brewer, & Spiller, 2011). With the cRAT, giving up the search might induce new stages of the search process, such as allowing the activation of competitor items to fully decay.…”
Section: Discussionmentioning
confidence: 99%
“…Perhaps, under the proper experimental demands, stopping rules may be measured using a closed-interval design wherein subjects are motivated to continue searching throughout the entirety of the retrieval period by being rewarded for every item produced. Evidence for this stems from recent work demonstrating that employing a cost/benefit structure influences retrieval dynamics especially when correct retrievals are rewarded (Davelaar, Yu, Harbison, Hussey, & Dougherty, 2013). Despite this, another possible drawback of the closed-interval design is that under certain conditions, it may have less ecological validity than an open-ended paradigm.…”
Section: Discussionmentioning
confidence: 99%
“…In a separate study, Davelaar et al (2013) found that termination decisions were sensitive to variations in payoffs for retrieving items. As shown in Figure 4a, when the payoffs were favorable (i.e., +150 points per correct retrieval and −50 points for every second spent on search), participants had longer exit latencies and spent longer searching memory than when payoffs were unfavorable (i.e., +50 points per correct retrieval and −150 points for every second spent on search).…”
Section: What Factors Compel People To Persist In or Truncate Search?mentioning
confidence: 93%
“…This rule also captures how people perform in free recall from semantic memory ; but see Abbott, Austerweil, & Griffiths, 2012) and terminate external visual search for uniformly distributed targets (Wolfe, 2013), but deviations have been observed when there is large variability in patch quality (Cain, Vul, Clark, & Mitroff, 2011;Wolfe, 2013). In addition, the total-failures rule can be viewed as a special case of a rational model that explicitly accounts for gains associated with successful retrieval and costs associated with time spent retrieving, but in situations in which gains and losses are symmetrical (Davelaar et al, 2013). The important similarity is that every newly retrieved item is subjectively less rewarding, and therefore marginal utility decreases as a function of the number of items retrieved.…”
Section: Stopping Decisions In Other Domainsmentioning
confidence: 99%
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