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Trusting Again: Human vs. Robot
Last registered on April 17, 2019

Pre-Trial

Trial Information
General Information
Title
Trusting Again: Human vs. Robot
RCT ID
AEARCTR-0004103
Initial registration date
April 16, 2019
Last updated
April 17, 2019 8:24 PM EDT
Location(s)

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Primary Investigator
Affiliation
Università Cattolica del Sacro Cuore, Milano - Catholic University of the Sacred Heart, Milan
Other Primary Investigator(s)
Additional Trial Information
Status
In development
Start date
2019-05-13
End date
2019-11-29
Secondary IDs
Abstract
This study examines the possible different (or similar) reactions of human subject playing an incentivized task (for example a social dilemma such as a "Give-some" game) either versus another human being or versus an humanoid robot.
In particular we aim at manipulating the experimental tasks in order to analyse the subjects reactions to "defective" behavior by either human or robot partners in a multi-stage game setting in order to elicit possible differences in the attitude to restore trust towards a partner based on its(human vs robotic) nature
External Link(s)
Registration Citation
Citation
MAGGIONI, Mario A.. 2019. "Trusting Again: Human vs. Robot ." AEA RCT Registry. April 17. https://doi.org/10.1257/rct.4103-1.0.
Former Citation
MAGGIONI, Mario A.. 2019. "Trusting Again: Human vs. Robot ." AEA RCT Registry. April 17. https://www.socialscienceregistry.org/trials/4103/history/45131.
Sponsors & Partners

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Experimental Details
Interventions
Intervention(s)
This study intends to explore possible similarities and differences in reactions of human subject playing some incentivized task (in particular a social dilemma such as a "give some" game) either versus another human being or versus an humanoid robot.
Intervention Start Date
2019-05-13
Intervention End Date
2019-11-29
Primary Outcomes
Primary Outcomes (end points)
Difference in the average cooperation rate in the second stage between treated (playing against a robot) and control (playing against a human) subjects.
Other outcomes may related to the difference in the strategies chosen by players in the social dilemma played at the first stage
Primary Outcomes (explanation)
Cooperation rate is measured as the proportion of subjects choosing a cooperative strategy in the social dilemma.
Secondary Outcomes
Secondary Outcomes (end points)
Difference in the average cooperation rate in the first-stage versus robot (treated) and human (control) partners.
Secondary Outcomes (explanation)
Cooperation rate is measured as the proportion of subjects choosing a cooperative action in the social dilemma.
Experimental Design
Experimental Design
A number of university students will be asked to take part in a session of incentivized tasks.
Half of the sample will play against a humanoid robot, the other half against a human being
They will initially play a one-shot "Give-some" game, without knowing that it may be a second stage.
At the end of the stage, they will be asked to without knowing that it may be a second stage.
Experimental Design Details
Not available
Randomization Method
Randomization is done in office by a computer.
Randomization Unit
Individual
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
1
Sample size: planned number of observations
Between 700 and 1000 UCSC students
Sample size (or number of clusters) by treatment arms
Between 350 and 500 students in each treatment arm.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
The outcome is expressed in relative terms, within the interval 0-1. Our power analysis has been conducted on the following parameters: Power: 80% Alpha (threshold for statistical significance): 0.05 Treatment/Control ratio: 1 Mean and standard deviation are based on the meta-analysis by Mislin&Johnson (2011): Mean of the control group: 0.5 Standard deviation (common for both groups): 0.2 The Minimum Detectable Effect Size for the main outcomes is: - Lower bound sample size (700) : 0.0424 - Upper bound sample size (1000) : 0.0355 Assuming larger standard deviation: 0.3: - Lower bound sample size (700) : 0.0636 - Upper bound sample size (1000) : 0.0532
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
IRB Approval Date
IRB Approval Number
Analysis Plan

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