Social Class and Help-seeking Behavior from AI

Last registered on November 15, 2024
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Pre-Trial

Trial Information

General Information

Title
Social Class and Help-seeking Behavior from AI
RCT ID
AEARCTR-0014759
Initial registration date
November 03, 2024

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
November 15, 2024, 2:05 PM EST

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

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Primary Investigator

Name
Yao Yao
Affiliation
University of Houston
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Other Primary Investigator(s)

PI Name
Lai Wei
PI Affiliation
Boston College
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Additional Trial Information

Status
On going
Start date
2024-09-01
End date
2025-06-01
Keywords
Behavior, Lab
Additional Keywords
Social Class Background, Help-seeking Behavior, AI Adoption
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Artificial Intelligence (AI) has introduced new opportunities for workers to resolve challenges when seeking help in the workplace. In this study, we aim to examine whether and how workers from lower, middle, and upper social classes influence their help-seeking behaviors from AI in the workplace. In response, this study will collect data on workers' help-seeking choices when facing difficulties in the workplace.
External Link(s)

Registration Citation

Citation
Wei, Lai and Yao Yao. 2024. "Social Class and Help-seeking Behavior from AI." AEA RCT Registry. November 15. https://doi.org/10.1257/rct.14759-1.0
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
Participants are shown an image of a 10-rung social ladder and asked to reflect on their position relative to others. They are required to compare themselves with others on the ladder based on their assigned treatment group.
Intervention Start Date
2024-09-01
Intervention End Date
2025-06-01

Primary Outcomes

Primary Outcomes (end points)
Help-seeking Choice
Primary Outcomes (explanation)
The help-seeking choice is a discrete variable including three possible choices, i.e., solve the question independently, seek help from the human, or seek help from AI.

Secondary Outcomes

Secondary Outcomes (end points)
Participant's Performance
Secondary Outcomes (explanation)
Participants' performance is measured by the number of correctly answered questions.

Experimental Design

Experimental Design
The participant is tasked with making the help-seeking choice when facing difficulty in different scenarios.
Experimental Design Details
Not available
Randomization Method
Randomization based on computer programming.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
150-300 Individuals
Sample size: planned number of observations
1200-2400 Help-seeking Choices
Sample size (or number of clusters) by treatment arms
75-150 Individuals per treatment arm
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
University of Houston
IRB Approval Date
2024-04-23
IRB Approval Number
STUDY00004669
Analysis Plan