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Decision making on assistance in everyday life: care giver and care robot
Last registered on April 06, 2020

Pre-Trial

Trial Information
General Information
Title
Decision making on assistance in everyday life: care giver and care robot
RCT ID
AEARCTR-0005649
Initial registration date
April 06, 2020
Last updated
April 06, 2020 1:38 PM EDT
Location(s)
Primary Investigator
Affiliation
Paderborn University
Other Primary Investigator(s)
PI Affiliation
PI Affiliation
PI Affiliation
PI Affiliation
PI Affiliation
PI Affiliation
PI Affiliation
University of Paderborn
Additional Trial Information
Status
On going
Start date
2020-03-29
End date
2020-06-30
Secondary IDs
Abstract
The present study investigates the role of decision making on assistance in everyday life. Moreover, we are interested in whether participants decide using a human care giver (CG) in everyday life to assist or if they prefer the robot (R) for assistance (four treatments differentiated by satisfaction levels with aid over ten rounds). We analyze if this decision depends on individual characteristics. To investigate these questions we designed an online experiment where participants have to decide in ten rounds if they want to use a CG or a R. They get the satisfaction level after each round and can then decide about their preferred aid in the next round. After ten rounds of the experiment, the participants have to answer a questionnaire. Participants are paid according to their success (=cumulative satisfaction level).
External Link(s)
Registration Citation
Citation
Hennala, Lea et al. 2020. "Decision making on assistance in everyday life: care giver and care robot." AEA RCT Registry. April 06. https://doi.org/10.1257/rct.5649-1.0.
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Experimental Details
Interventions
Intervention(s)
Intervention Start Date
2020-03-29
Intervention End Date
2020-06-30
Primary Outcomes
Primary Outcomes (end points)
We are interested in whether participants decide using a human care giver (CG) in everyday life to assist or if they prefer the robot (R) for assistance (four treatments differentiated by satisfaction levels with aid over ten rounds). We analyze if this decision depends on individual characteristics.
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
We designed an online experiment where participants have to decide in ten rounds if they want to use a CG or a R. They get the satisfaction level after each round and can then decide about their preferred aid in the next round. After ten rounds of the experiment, the participants have to answer a questionnaire. Participants are paid according to their success (=cumulative satisfaction level).
Experimental Design Details
Randomization Method
randomization done by an internet computer programm (MTURK)
Randomization Unit
individual level
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
160
Sample size: planned number of observations
160
Sample size (or number of clusters) by treatment arms
40 for each treatment
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
IRB Approval Date
IRB Approval Number
Post-Trial
Post Trial Information
Study Withdrawal
Intervention
Is the intervention completed?
No
Is data collection complete?
Data Publication
Data Publication
Is public data available?
No
Program Files
Program Files
Reports, Papers & Other Materials
Relevant Paper(s)
REPORTS & OTHER MATERIALS