| Summary: | The main aim of this research project was to develop a cross-platform custom app to assess a wide range of higher cognitive processes in adults and to monitor how they change across the middle years of adulthood (25-65 years). As a result of a considerable team effort, the project has delivered a fully functioning, sophisticated, cross-platform app for data collection that has a visually pleasing design and smooth user interface and that is available to the public for participation. The app has yielded a rich data set containing self-report measures, questionnaires, and a set of ‘games” requiring choices and actions that are monitored. The data deposited here is the first tranche of data obtained and contains partial or complete entries from 389 registrants from 31 countries around the globe. The data set contains a range of measures concerning basic demographics, health, eating, exercise and lifestyle, economic well-being, and social network size. The data set also reports a range of personality measures. Many of the measures reported in the data set reflect performance on the various games in the app. The measures are either the proportion of times a particular choice was made, the average time it took to make that choice within each game, or an average rating scale measure of how participants felt after particular trials in the game. The games are (a) a risk-taking choice task, (b) a risk aversion game, (c) desire/belief game where the participant guesses the choices another person would make (d) a perspective taking game where the participant reports what s/he or another person can see, (e) a visual search task with different types of distractors, (f) a value learning task, and (g) a short term visual memory task.Do you feel just like you did when you were 20? Are you as mentally nimble? Are your intuitions better or worse? How have the years (or perhaps decades) of experience affected the way you make decisions about whether to exercise or eat healthily or how much to save for retirement? While few would ...
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