This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.
The investigators will record behavioral responses from human participants on crowdsourcing platform Prolific to identify the decision strategies humans apply short-term, long-term, and multi timescale (across both timescales) inference tasks. Participants will perform a Jar Switching Task (described in Research Strategy Aim 1- "Jar Switching Task") in which balls are drawn with replacement from one of two known jars. The current jar in use switches based on an underlying change rate across trials. Subjects must perform three task blocks: 1) report the current jar in use (short-term inference), 2) predict the subsequent jar (long-term inference), and 3) both report and predict the jars (multi-timescale inference). The investigators will record these responses, the number (and sequence) of balls drawn, and the response time (time from the end of trial until the response) for each trial. Subjects will perform all blocks (parameters and number of blocks to be determined by inference model development and testing prior to task development) so that we can compare responses at each timescale. Since participants participate voluntarily for small sums of money (around $10/ hour based on duration of task) and the investigators' previous studies have collected over 200 subjects in a matter of days, they will aim to record behavioral data from 1000 subjects. This number allows them to address the broad range of subject variability expected using Bayesian statistical methods such as Bayes factors.
On-line Crowdsourcing of Multi-Timescale Inference Strategies
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
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Sponsor: University of Colorado, Boulder
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.