Studies of Human Inference Using On-line Testing
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 500
- 试验地点
- 2
- 主要终点
- Binary Behavioral Decision Responses
研究概览
简要总结
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 flexible decision-making task (described in Research Strategy Aim 1) in which subjects must determine which of two locations a series of evidence (package drops) came from. Subjects must 1) report the current location, 2) predict the next location. The investigators will record these responses, the number (and sequence) of evidence, 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 $12/ 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.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Basic Science
- 盲法
- None
入排标准
- 年龄范围
- 18 Years 至 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •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.
排除标准
- 未提供
研究组 & 干预措施
Environmental Feature Experiment
干预措施: psychophysics (Behavioral)
结局指标
主要结局
Binary Behavioral Decision Responses
时间窗: Through task completion on each task trial, approximately 1-5x/ minute for approximate 30 minutes
Subject- provided choices (responses on the computer) between two presented options
次要结局
未报告次要终点
研究者
Tahra Eissa
Assistant Professor
University of Colorado, Denver
