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Exploring the Link Between Visual Attention to Familiar or Novel Food Stimuli and Food Choice Using Integrated
Farshad Arsalandeh1, Ali Shahbazi1, Mohammad Ali Nazari1
1Department of Neuroscience, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran.
JMIR Research Protocols
|May 21, 2025
Summary
This study integrates eye-tracking, electroencephalography, and dot-probe tasks to investigate attentional bias towards familiar versus novel foods. Findings will illuminate how attentional differences influence food choice behaviors.
Area of Science:
- Cognitive Neuroscience
- Nutritional Science
- Behavioral Science
Background:
- Understanding food choice factors is crucial for public health strategies and promoting healthier eating.
- Attentional bias significantly shapes food preferences by influencing perception and reaction to food stimuli.
- While methods like dot-probe, eye-tracking, and electroencephalography exist, integrated approaches for assessing bias toward familiar vs. novel foods are underexplored.
Purpose of the Study:
- To investigate differences in attention towards familiar and novel food stimuli.
- To utilize an integrated approach combining eye-tracking, dot-probe, and electroencephalography.
- To explore the relationship between attentional bias and self-reported food choices.
Main Methods:
- Recruitment of 40 healthy adult participants.
- Concurrent recording of visual attention (eye-tracking) and brain activity (electroencephalography) during presentation of familiar/novel food images.
- Measurement of reaction times (dot-probe task) as a behavioral indicator of attentional engagement.
Main Results:
- Data collection is ongoing, with 36 participants recruited as of submission.
- Analysis is planned post-completion of data collection, expected by July 2025.
- Results are anticipated for publication by December 2025.
Conclusions:
- The study aims to identify differences in attentional bias metrics for familiar versus novel food stimuli.
- Findings will offer preliminary insights into using integrated methods to capture attentional bias towards food stimuli.
- The research will explore links between these biases and actual food choice behaviors.

