2020
DOI: 10.1177/2041669520932587
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MILO Mobile: An iPad App to Measure Search Performance in Multi-Target Sequences

Abstract: This article introduces a mobile app version of the Multi-Item Localization (MILO) task. The MILO task was designed to explore the temporal context of search through a sequence and has proven useful in both basic and applied research settings. Here, we describe the basic features of the app and how it can be obtained, installed, and modified. We also provide example data files and present two new sets of empirical data to verify that previous findings concerning prospective planning and retrospective memory (i… Show more

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Cited by 8 publications
(19 citation statements)
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References 47 publications
(76 reference statements)
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“…Such planning is most obvious at the start of a sequence, reflected in highly elevated first response times (Basoudan et al., 2019). However, using a shuffle manipulation, in which the identities of items ahead of the current target swapped positions, we were able to show planning effects influencing SRT patterns up to four items ahead (Thornton & Horowitz, 2004, 2020; see Kosovicheva et al., 2020 for related findings).…”
Section: Introductionmentioning
confidence: 82%
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“…Such planning is most obvious at the start of a sequence, reflected in highly elevated first response times (Basoudan et al., 2019). However, using a shuffle manipulation, in which the identities of items ahead of the current target swapped positions, we were able to show planning effects influencing SRT patterns up to four items ahead (Thornton & Horowitz, 2004, 2020; see Kosovicheva et al., 2020 for related findings).…”
Section: Introductionmentioning
confidence: 82%
“…Recently, we introduced a mobile app version of the Multi-Item Localisation (MILO) task (Thornton & Horowitz, 2020). The MILO task probes the temporal constraints that influence target selection during search through multi-item sequences.…”
Section: Introductionmentioning
confidence: 99%
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