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网购已经是一种非常普遍的购物方式。背景音乐在实体店中已经有很多应用和研究,但在网店研究还很少,并停留在概念性的阶段。本文进行了实验,将眼动数据、行为数据和顾客情感结合在一起建立了神经网络评价模型,并进行了训练和验证,最终神经网络输出结果与顾客直接打分误差小于0.05。
Online shopping is already a very popular way to shop. Background music in the store has many applications and research, but few in the online store research, and stay in the conceptual stage. This paper has carried on the experiment, has established the artificial neural network evaluation model by combining the eye movement data, the behavior data and the customer emotion together, has carried on the training and the verification, finally the direct neural network output result and the customer direct score error is less than 0.05.