Nudging with Attribution Bias: Promoting Healthy Over Unhealthy Drink Preferences

Last registered on June 02, 2026

Pre-Trial

Trial Information

General Information

Title
Nudging with Attribution Bias: Promoting Healthy Over Unhealthy Drink Preferences
RCT ID
AEARCTR-0016293
Initial registration date
February 11, 2026

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
February 18, 2026, 9:15 AM EST

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

Last updated
June 02, 2026, 9:03 PM EDT

Last updated is the most recent time when changes to the trial's registration were published.

Locations

Region

Primary Investigator

Affiliation
University of Florida

Other Primary Investigator(s)

PI Affiliation
University of Florida
PI Affiliation
Texas A&M University

Additional Trial Information

Status
In development
Start date
2026-04-01
End date
2026-07-01
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Diet-related diseases are a leading contributor to global morbidity, mortality, and rising health expenditures. Beyond direct health impacts, poor diets also impose large social and economic costs through lost productivity, increased healthcare demand, and long-term fiscal pressures on public systems. These challenges raise the importance of identifying behavioral mechanisms that systematically bias food choice and exploring how they can be leveraged to improve consumer diets. One such mechanism is attribution bias—the tendency for individuals to misattribute state-driven experiences to intrinsic product properties. While widely observed in behavioral studies, little is known about the internal mechanisms through which attribution bias shapes preferences, and whether this bias can be leveraged in behavioral nudges to steer individual choices away from unhealthy foods towards healthier alternatives. This study fills this gap by integrating behavioral and neuroeconomic methods to examine how thirst-induced attribution bias influences choice between healthy and unhealthy carbonated drink alternatives.
External Link(s)

Registration Citation

Citation
Adhikari, Prabin, Bachir Kassas and Rodolfo Nayga. 2026. "Nudging with Attribution Bias: Promoting Healthy Over Unhealthy Drink Preferences." AEA RCT Registry. June 02. https://doi.org/10.1257/rct.16293-1.1
Experimental Details

Interventions

Intervention(s)
Intervention (Hidden)
The intervention aims to exogenously manipulate subjects' thirst level prior to consumption of a target carbonated drink, with the aim to vary consumption experience across treatments. Participants will be asked to refrain from drinking water or any fluids for five hours before the experiment. They will then be randomly assigned to either the treatment or control group using computer-based randomization software. The treatment group will remain thirsty, while the control group will receive a bottle of water to offset their thirst. Following thirst manipulation, both groups will be provided with a healthy carbonated drink (e.g., Poppi drink) to consume, after which they will rate their consumption experience. The treatment group is expected to report higher ratings since they consume the drink under an arousal state (thirst), resulting in a better consumption experience than subjects in the control group, who had their thirst offset before consuming the healthy drink.
Intervention Start Date
2026-04-01
Intervention End Date
2026-07-01

Primary Outcomes

Primary Outcomes (end points)
1. Subjects' choices between the healthy and equivalent, unhealthy carbonated drink in the choice task will be compared between the control and treatment.
2. Event-Related Potentials (ERPs) will be measured during the cue exposure task, and key components (e.g., P1, N1, N2, P3, LPP, RewP) will be compared between control and treatment.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Age, gender, ethnicity, income, education, exercise frequency and intensity, duration since last meal, current appetite, number of meals and snacks per day, expected time until next meal, consumption experience.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The experiment is conducted across two days. On the first day, subjects will consume a healthy carbonated drink under a control or treatment condition. On day two, they will make choices between the healthy drink and an equivalent, unhealthy alternative in a choice task. Neurophysiological indicators of preferences for the healthy and unhealthy drinks will also be collected during a cue exposure task.
Experimental Design Details
The experiment is conducted across two days. The first day involves the treatment manipulation, where the consumption experience with a healthy carbonated drink will be exogenously varied between a control and treatment group. The manipulation will be thirst-based, where all subjects will be asked to refrain from drinking water or any fluids for 5 hours prior to arriving at their first-day session. Subjects in the control group will be provided with a bottle of water before starting to offset their thirst, while those in the treatment group will not. Subjects will then report their thirst levels, which will be used to confirm successful thirst manipulation, after which they will be asked to consume the healthy carbonated drink. During consumption of the healthy drink, all subjects will first consume one portion, after which they will answer a very short intermediate questionnaire before consuming the second portion. The intermediate questionnaire will consist of two questions about how enjoyable the product is and how excited they are to consume the second portion. After consuming both portions of the healthy drink, subjects will answer a short questionnaire to collect sociodemographic data, as well as behavioral information related to their beverage consumption, including how many glasses of water they typically have per day, how many glasses of liquids other than water they have per day, and how often they consume regular and enhanced carbonated drinks. The first day’s session will then conclude with measuring subjects’ weight and height to calculate BMI.

The second day’s session will start with a short questionnaire asking subjects to report how much they enjoyed consuming the healthy drink on day 1 and if they would consume the drink again if it were available to them. They will also report if they had consumed the healthy drink/unhealthy equivalent (e.g., Poppi drink and Sprite) between days 1 and 2. Subjects will then complete two tasks in a randomized order to elicit behavioral and psychophysiological indicators of their preferences for the healthy drink consumed on day 1 compared to an equivalent unhealthy alternative. The first is a choice task where subjects will be presented with an image of the healthy and unhealthy drinks and asked to make a choice between them in an incentive-compatible environment (i.e., real choices). The second is a cue exposure task, where subjects will be presented with a random sequence of 90 images, consisting of 30 non-food images (e.g., office items), 30 images of the healthy drink they consumed on day 1, and 30 images of the equivalent unhealthy alternative drink. The images will be presented in a quasi-random order that avoids more than 4 repetitions from the same category.
Randomization Method
Participants will be assigned equally to Control and Treatment groups (60 in each). First, each of the 120 participants is labeled with a unique identifier. A random number is then generated for each ID from a uniform distribution. The numbers are ranked from lowest to highest, and the 60 IDs associated with the lowest numbers are placed in the Control group, while the remaining 60 are placed in the Treatment group. This ensures an exact 50–50 split while preserving random assignment.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
Not clustered
Sample size: planned number of observations
120
Sample size (or number of clusters) by treatment arms
60
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Choice outcome minimum detectable effect size: 0.230 (m1=0.568, sd1=0.502, sd2=0.381)
IRB

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number
Analysis Plan

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information

Post-Trial

Post Trial Information

Study Withdrawal

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information

Intervention

Is the intervention completed?
No
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