Can Attribution Bias Improve Preferences for Healthy Snacks? Evidence from a Neuroeconomic Study

Last registered on February 18, 2026

Pre-Trial

Trial Information

General Information

Title
Can Attribution Bias Improve Preferences for Healthy Snacks? Evidence from a Neuroeconomic Study
RCT ID
AEARCTR-0013120
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, 6:00 AM EST

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

Locations

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
2026-03-01
End date
2026-06-01
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Diet-related chronic diseases impose substantial health and economic costs worldwide, making it critical to understand the mechanisms that drive persistent unhealthy food consumption. Traditional approaches to addressing this challenge focused on hard-end (e.g., taxes, subsidies, bans) and soft-end (e.g., nudges) measures to influence consumer decisions. However, these measures fail to account for a critical root cause of unhealthy food consumption: the indulgent and rewarding experience gained from consuming unhealthy foods. It is therefore important to account for consumption experience and memory when designing nudges or interventions to steer consumers to healthy food choices. This study fills this gap by utilizing attribution bias to examine how induced positive consumption experience with a healthy food influences future preferences. A neuroeconomic approach is adopted to investigate both neurophysiological and behavioral indicators of preference.
External Link(s)

Registration Citation

Citation
Adhikari, Prabin, Bachir Kassas and Rodolfo Nayga. 2026. "Can Attribution Bias Improve Preferences for Healthy Snacks? Evidence from a Neuroeconomic Study." AEA RCT Registry. February 18. https://doi.org/10.1257/rct.13120-1.0
Experimental Details

Interventions

Intervention(s)
Intervention (Hidden)
The intervention aims to exogenously manipulate subjects' hunger level prior to consumption of a target snack, with the aim to vary consumption experience across treatments. Participants will be asked to fast for five hours prior to 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 hungry, while the control group will receive a neutral snack (e.g., Ritz biscuits) to offset their hunger. Following hunger manipulation, both groups will be provided with a healthy food snack (e.g., Baked chips) to consume, after which they will rate their consumption experience. The treatment group is expected to report higher ratings since they consume the snack under an arousal state (hunger), resulting in a better consumption experience than subjects in the control, who are satiated before consuming the healthy snack.
Intervention Start Date
2026-03-01
Intervention End Date
2026-06-01

Primary Outcomes

Primary Outcomes (end points)
1. Subjects' bids in a Becker-DeGroot-Marschak (BDM) task will be compared across control and treatment.
2. Frontal Asymmetry Index (FAI) will be calculated from EEG data and compared between control and treatment as subjects view the product in the BDM.
3. Event-Related Potentials (ERPs) will be measured during a 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 snack under a control or treatment condition. On day two, they will report their preferences by answering survey questions and completing a BDM task. Neurophysiological indicators of preference will also be collected as subjects evaluate the healthy food product in the BDM task and during their participation in a cue exposure task.
Experimental Design Details
The experiment is conducted across two days. The first day involves the treatment manipulation, where consumption experience with a healthy snack will be exogenously manipulated between a control and treatment group. The manipulation will be hunger based, where all subjects will be asked to fast for 5 hours prior to arriving at their first-day session. Subjects in the control group will be provided with a neutral snack (e.g., Ritz biscuits) before starting, while those in the treatment group will not. Subjects will then report their hunger levels, which will be used to confirm successful hunger manipulation, after which they will be asked to consume the healthy food snack. During consumption of the healthy product, all subjects will first consume one half, after which they will answer a very short intermediate questionnaire before consuming the second half. The intermediate questionnaire will consist of two questions about how tasty the product is and how excited they are to consume the second half. After consuming both halves of the healthy product, subjects will answer a short questionnaire to collect sociodemographic data, as well as behavioral information related to how many meals they typically consume per day, how many times they typically snack per day, and how often they consume fried and baked chips. 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 snack in day 1 and if they would consume the snack again if it were available to them. They will also report if they had consumed the healthy snack/unhealthy equivalent (e.g., baked and fried chips) 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 food snack consumed in day 1, which will be compared between control and treatment. The first is a BDM task where subjects will view an image of the healthy snack consumed on day 1 then submit a bid for the product with a likelihood of purchase if their bid is greater than or equal to a randomly drawn market price. The second is a cue exposure task, where subjects will be presented with a random sequence of 60 images, consisting of 30 non-food images (e.g., office items) and 30 images of the healthy snack they consumed in day 1. 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
120 individuals (60 Treatment, 60 Control)
Sample size: planned number of observations
120 individuals
Sample size (or number of clusters) by treatment arms
60 individuals control, 60 individuals treatment
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
WTP outcome minimum detectable effect size: $0.207 (m1=0.953, sd1=0.361, sd2=0.436)
IRB

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number
Analysis Plan

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Post-Trial

Post Trial Information

Study Withdrawal

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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