农业大数据学报 ›› 2023, Vol. 5 ›› Issue (4): 103-109.doi: 10.19788/j.issn.2096-6369.230413

• 农业农村社会经济数据:资源与方法 • 上一篇    下一篇

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

甄世航1,2(), 刘奇1,2, 罗蕊1,2, 田思宇1,2, 沈霜1,2, 任彦军1,2,*()   

  1. 1.西北农林科技大学经济管理学院,陕西 杨凌 712100
    2.西北农林科技大学中德农业与食物经济研究中心,陕西 杨凌 712100
  • 收稿日期:2023-08-29 接受日期:2023-09-29 出版日期:2023-12-26 发布日期:2024-01-05
  • 通讯作者: 任彦军,E-mail:yanjun.ren@nwafu.edu.cn。
  • 作者简介:甄世航,E-mail:shihangzhen2023@163.com
  • 基金资助:
    陕西省科技厅秦创原引用高层次创新创业人才项目(QCYRCXM-2022-145)

Food Consumption Behavior Analysis Dataset Based on Eye Tracking: A Case Study on the Functional Foods

ZHEN ShiHang1,2(), LIU Qi1,2, LUO Rui1,2, TIAN SiYu1,2, SHEN Shuang1,2, REN YanJun1,2,*()   

  1. 1. College of Economics and Management, Northwest A&F University, Yangling 712100, Shaanxi, China
    2. Sino-German Center for Agricultural and Food Economics, Northwest A&F University, Yangling 712100, Shaanxi, China
  • Received:2023-08-29 Accepted:2023-09-29 Online:2023-12-26 Published:2024-01-05

摘要:

随着眼动追踪技术深入发展,以及在行为经济领域的结合应用,目前在消费行为研究中结合眼动追踪技术进行探索分析已逐步成为主流。近年来,在食物消费行为领域结合眼动分析的研究迅速增长。其中功能性食品备受消费者关注,本数据集对消费者选购功能性食品过程中的眼动数据进行记录和保存,为研究消费者对功能性食品的消费偏好和购买行为提供数据支撑。本数据集利用眼动追踪技术开展选择实验,收集了151名消费者选购功能性纯牛奶过程中视觉注意力数据,涵盖总注视时长、平均注视时长、首次注视时长、注视频次、瞳孔直径5个维度指标以及最终购买决策,共755条数据,所得结果均经过人工质量检验,数据处理按照规范化步骤完成。本数据集为广大学者从行为经济学视角分析功能性食品消费的影响因素提供数据支持,并为利用眼动追踪技术开展功能性食品视觉营销提供了基础数据和实验范式。

数据摘要:

项目 描述
数据库(集)名称 基于眼动追踪的功能性食品消费行为分析数据集
所属学科 食品营养与健康、农业经济管理
研究主题 消费者行为分析
数据采集时间 2023年
数据格式 .xlsx
数据库(集)组成 数据集包括消费者在功能性食品选购过程中选购结果以及所匹配的眼动追踪数据共755条,其中包括总注视时长、平均注视时长、首次注视时长、注视频次、瞳孔直径等
数据量 182 KB
主要数据指标 总注视时长、平均注视时长、首次注视时长、注视频次、瞳孔直径
数据可用性 CSTR:17058.11.A46AE3.20231028.16.cs.3748
DOI:10.12205/A46AE3.20231028.16.cs.3748
经费支持 陕西省科技厅秦创原引用高层次创新创业人才项目(QCYRCXM-2022-145)

关键词: 功能性食品, 消费行为, 视觉注意力, 眼动追踪, 数据集

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.

Data summary:

Item Description
Dataset name Functional food consumption behavior analysis data set based on eye tracking
Specific subject area Food nutrition and health, agricultural economic management
Research topic Consumer behavior analysis
Time range 2023
Data types and technical formats .xlsx
Dataset structure The dataset includes a total of 755 records, consisting of the purchasing results of consumers in the process of selecting functional foods, as well as the corresponding eye-tracking data. Total fixation duration, average fixation duration, fixation frequency, first fixation duration, pupil diameter.
Volume of data 182 KB
Key index in dataset Total fixation duration, average fixation duration, first fixation duration, fixation frequency, pupil diameter
Data accessibility CSTR:17058.11.A46AE3.20231028.16.cs.3748
DOI:10.12205/A46AE3.20231028.16.cs.3748
Financial support Qin Chuangyuan of Shaanxi Provincial Science and Technology Department cited high-level innovation and entrepreneurship talent projects (QCYRCXM -2022-145)

Key words: Functional food, Consumer behavior, Visual attention, Eye tracking, Dataset