NeuroBioSense Dataset

The dataset provided in this study serves as a helpful resource for comprehending emotional reactions within the domain of neuromarketing. Data was acquired from a sample of 58 participants, ranging in age from 18 to 70, through the implementation of a carefully planned experimental design. The participants were shown a collection of 35 branding advertisements classified into three categories: cosmetics and fashion, car and technology, and food and market. The Empatica e4 wearable sensor device was utilized to record several physiological signals, such as photoplethysmography (PPG), electrodermal activity (EDA), and body temperature. Concurrently, the process of capturing facial expressions was conducted using high-definition cameras during periods dedicated to viewing advertisements. The emotional assessments of the participants were evaluated utilizing an emotion appraisal scale, while demographic information was gathered via questionnaires.
The utilization of this multifaceted dataset allows scholars to explore the complex realm of consumer decision-making processes, taking into account variables such as age, gender, and varied cultural backgrounds. Through the integration of physiological signals and facial expressions, the dataset offers valuable insights into the underlying neurological mechanisms that drive emotional responses toward branded commercials. This can be utilized by researchers to study emotional patterns, investigate correlations between consumers and advertising, and develop customized neuromarketing methods that are beneficial for individual preferences.

本研究提供的数据集可作为理解神经营销（neuromarketing）领域情绪反应的优质资源。本次研究通过精心设计的实验范式，从58名年龄介于18至70岁的参与者样本中采集数据。参与者共观看35支品牌广告，这些广告被划分为三大类别：美妆与时尚、汽车与科技，以及食品与市场。研究采用Empatica E4可穿戴传感设备，记录光电容积描记法（photoplethysmography, PPG）、皮肤电活动（electrodermal activity, EDA）与体温等多项生理信号。与此同时，在广告观看时段内，通过高清摄像机采集参与者的面部表情数据。参与者的情绪状态采用情绪评定量表进行评估，人口统计学信息则通过问卷收集完成。
该多维度数据集可为研究者探索消费者决策的复杂机制提供支撑，同时可纳入年龄、性别及多元文化背景等变量开展分析。通过整合生理信号与面部表情数据，本数据集能够为揭示品牌广告情绪反应背后的神经机制提供宝贵洞见。研究人员可借助该数据集开展情绪模式分析、探究消费者与广告间的关联，并开发适配个体偏好的定制化神经营销方案。