Role of Familiarity and Experience in the Implementation of Efficient Visual Search Strategies, 2019-2023

The data collected as part of this grant represents the search strategies, biases and habits of a large number of participants searching under a range of different conditions. Eight of the journal articles published to date under this grant involved the collection of new data, which is publicly available in eight separate repositories associated with each respective publication (together with preprints, materials, pre-registrations, and supplementary materials). Unless stated otherwise, the primary task was a variation of the “split-half line segment” (SHLS) search task as described in the grant proposal. Rather than create potential confusion for meta-analysis by duplicating the data in more than one location, we link to the eight public repositories in which they are contained under "related resources". The eight repositories are:
1. https://osf.io/efg8n/: two experiments, 60 participants total. RT, accuracy and fixation data, preregistrations, preprint, r scripts, supplementary materials. We manipulate time pressure and monetary rewards and observe no effect on strategy. We also model the timecourse of strategy improvements over time, within trial and across trials.
2. https://osf.io/9edx6/: five main experiments, 104 participants total, RT, accuracy and fixation data. Across experiments we manipulate the search target and distractors and measure effects on strategy. Also contains supplementary material and links to preregistrations, six pilot experiments and one follow-up control experiment.
3. https://osf.io/5aq4c/: one experiment with 306 participants and one pilot with 30 participants. Participants performed SHLS alongside a battery of other tasks and measures. This was a registered report and the repository contains the stage 1 submission as well as the post-data stage 2 version of the paper.
4. https://osf.io/unx6v/: two experiments with 46 participants total. Tests the hypothesis that making the search target self-relevant will make search more efficient (it does not). Contains pre-registration, data, supplementary material and a preprint version of the paper.
5. https://github.com/Riadsala/single_double_feature_search: Contains stage 1 (preregistered) version of the paper, pilot (N=4) and full experimental data (N=40). Participant search for a target with one or two features (not a SLHS experiment, see paper).
6. https://osf.io/64r7m/ This repository contains supplementary materials and data underpinning a paper demonstrating the broad utility of asymptotic regression as a tool for modelling time course data. The “short-long” experiment data was collected as part of this grant (N=50) and examines the role of experience with short deadlines on the full timecourse of trials, expressed as three parameters (initial performance, rate of change, asymptote).
7. https://osf.io/y6qbv/ Contains data from a group of participants (N=64) performing three different search tasks that have large individual performance differences (SHLS, a foraging task, and a colour-search task). Also contains experiment code, analysis scripts, and supplementary materials.
8. https://osf.io/8qgju/ Contains data from two experiments (N=50 total) where the spatial layout of the SHLS experiment is manipulated. Also contains pre-registrations and supplementary materials.
For more details information on the data and methods, see the repositories and associated publications.