Studies of Human Inference Using On-line Testing

Behavior Clinical Trial

Official title:

On-line Crowdsourcing of Multi-Timescale Inference Strategies

Clinical Trial Details — Status: Not yet recruiting

Administrative data

• NCT number: NCT05848752
• Other study ID #: 21-0065
• Status: Not yet recruiting
• Phase: N/A
• Start date: July 2024
• Est. completion date: October 2024

Study information

• Verified date: May 2024
• Source: University of Colorado, Boulder
• Contact: Tahra Eissa
• Phone: (303) 492-6974
• Email: tahra.eissa[@]colorado.edu
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

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.

Recruitment information / eligibility

• Status: Not yet recruiting
• Enrollment: 1000
• Est. completion date: October 2024
• Est. primary completion date: September 2024
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 18 Years and older

Eligibility

Inclusion Criteria:

• Adult Prolific participants who have a 95% approval rating and achieve a minimum score of 80% on our pre-test,
• Speak fluent English
• Are in the US.

Exclusion Criteria:

• None

Related Conditions & MeSH terms

• Behavior

Intervention

Behavioral:
• psychophysics
Subjects will be shown a pair of jars each filled with the same absolute number but different ratios of red/blue balls. Three blocks of trials exist, short-term inference (subjects must identify which of the equally likely jars is currently in use), long-term inference (subjects must predict the subsequent jar in use on the next trial, where jar switches are correlated across trials), or multi-timescale inference (subjects must both report the current jar and predict the subsequent jar, combining the short and longterm inferences). Subjects will draw balls as many balls as they wish with replacement (free response) during the short-term and multi-timescale blocks but will know the current jar in use for long-term inference.

Locations

Country	Name	City	State
n/a

Sponsors (3)

Lead Sponsor	Collaborator
University of Colorado, Boulder	University of Houston, University of Pennsylvania

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Binary Behavioral Decision Responses	Subject- provided choices (responses on the computer) between two presented options	Through task completion on each task trial, approximately 1-5x/ minute for approximate 30 minutes