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- Title
基于眼动追踪的食物消费行为分析数据集--以功能性食品为例.
- Authors
甄世航; 刘奇; 罗蕊; 田思宇; 沈霜; 任彦军
- Abstract
With the rapid advancement of eye-tracking technology and its integration within the domain of behavioral economics, the utilization of eye-tracking technology in a field of consumer behavior research has gradually become ubiquitous. In recent years, there has been a rapid surge in research that combines eye-tracking analysis in the field of food consumption behavior. Of particular interest are functional foods, which have garnered considerable consumer interest. This dataset leverages eye-tracking technology to conduct selection experiments, capturing visual attention data from 151 consumers during the process of purchasing functional pure milk. It encompasses five dimensions of indicators: total fixation duration, average fixation duration, fixation frequency, first fixation duration, pupil diameter, and the final purchase decision. In total, the dataset comprises 755 data points. The results obtained have undergone meticulous manual quality-checks, and data processing has been accomplished according to standardized procedures. This dataset serves as valuable support for researchers aiming to analyze the factors influencing the consumption of functional food from the perspective of behavioral economics. The dataset also provides basic data and experimental paradigms for the application of eye-tracking technology in the realm of visual marketing of functional food.
- Publication
Journal of Agricultural Big Data, 2023, Vol 5, Issue 4, p103
- ISSN
2096-6369
- Publication type
Article
- DOI
10.19788/j.issn.2096-6369.230413