Understanding the Effect of AI Interaction on the Need to Socialize

Last registered on October 28, 2024
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Pre-Trial

Trial Information

General Information

Title
Understanding the Effect of AI Interaction on the Need to Socialize
RCT ID
AEARCTR-0014503
Initial registration date
October 27, 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
October 28, 2024, 1:39 PM EDT

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
Teng Ye
Affiliation
University of Minnesota, Twin Cities
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Other Primary Investigator(s)

PI Name
Jason Chan
PI Affiliation
Contact Investigator
PI Name
Zenan Chen
PI Affiliation
Contact Investigator

Additional Trial Information

Status
In development
Start date
2024-10-07
End date
2025-03-31
Keywords
Behavior
Additional Keywords
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
With the advancement of AI technology, humans are beginning to converse with social AI-powered chatbots in their daily lives. Whether the interactions with the social AI-bot would replace social human connections is elusive. In this study, we would like to understand how different modes of interactions would affect human behavior and their attitudes. We also plan to investigate if the effect would vary across different situations.
External Link(s)

Registration Citation

Citation
Chan, Jason, Zenan Chen and Teng Ye. 2024. "Understanding the Effect of AI Interaction on the Need to Socialize." AEA RCT Registry. October 28. https://doi.org/10.1257/rct.14503-1.0
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
In this experiment, we design and deploy different interaction modes between participants and their chatting partners.
Intervention Start Date
2024-10-14
Intervention End Date
2025-02-28

Primary Outcomes

Primary Outcomes (end points)
We mainly examine the effects of interventions on participants' social outcomes, namely social interactions.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
We also examine participants' attitudes and perceptions.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
This experiment is between-subjects, and the participants invited to the experiment will be randomly assign to one of the treatment/control groups.
Experimental Design Details
Not available
Randomization Method
Randomization will be performed by the algorithm.
Randomization Unit
Person
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
about 100 to 300
Sample size: planned number of observations
about 100 - 300
Sample size (or number of clusters) by treatment arms
30 for Control (nothing); 20 clusters for each of other control group(s)
30-60 for each treatment group
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 Minnesota
IRB Approval Date
2023-11-28
IRB Approval Number
STUDY00020422
Analysis Plan