**Data Set** During the object study phase, we will collect whether a subject failed to respond to a repeated object, incorrectly identified a unique item as a repeat, or correctly identified a repeat. We will also note where in the images the response image occurs and where the first appearance of the object occurred. We will collect percent accuracy for each of the four tasks. Additionally, we will collect the percent of time subjects indicate seeing changes in the memory-change detection hybrid task, both for correctly identified objects (subject picked the item previously seen) and incorrectly identified objects (subjects picked a filler item). We plan to collect useable data from 24 participants. Participants are scheduled and tested in small groups of up to 5 participants. Depending on attendance rates at each experimental session, we may end up with slightly more than 24 participants. Whenever we must exclude a participant due to non-compliance (as listed below), we will replace that participant before viewing their data. After collecting data from a minimum of 24 participants, we will examine the data in order to exclude egregiously low performance (detailed below). If we have usable data from 20 or more participants after exclusions, we will stop data collection. If we have data from fewer than 20 participants, we will schedule additional sessions, again targeting a total of 24 participants. **Exclusion Criteria** Subject data will be excluded from analysis on the following grounds: * Subjects score at or below 20% the 6AFC memory task or below 55% on the 2AFC memory task * Subjects score at or below chance on more than two tasks * Subjects did not attend to the study phase of the experiment, either by looking away from the screen for an extended period of time other than during the break screen or leaving the testing booth other than during the break screen* * Subjects fell asleep during the experiment* *Any instances of this will be noted in the lab log Noncompliance exclusions will be made without examining subject data. Below-threshold accuracy exclusions will be made by an automated analysis. **Statistical Tests** We will conduct paired-samples t-tests (two-tailed), effect sizes (Cohen's d) with 95% bootstrapped confidence intervals, and calculate Bayes factors (two-tailed, medium spread) for the following comparisons: * Accuracy in the uninstructed, unstudied change detection task versus accuracy in the explicit-strategy task * Accuracy in the explicit-strategy task versus accuracy in the 6AFC memory test * Accuracy in the 2AFC memory test and accuracy in the 6AFC memory test **Data Visualization** We will create the following plots: * Violin plots of individual subject accuracy on each of the four tasks * Violin plots of the difference scores for the comparisons listed above * Violin plots of reported changes for the hybrid task for correct identifications and false alarms * Point plots of average accuracy on each of the three tasks, with error bars representing 95% bootstrapped confidence intervals **Exploratory Analysis** We will examine performance on the n-back task during the study phase as it relates to performance on the memory tasks. We will also compare reported rates of change detection for correctly identified objects and false alarms to determine whether increased change detection is associated with accurate responses.