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The Role of User Emotions for Content Personalization in e-Commerce: Literature Review

机译:用户情绪对电子商务中内容个性化的作用:文献综述

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Purchasing decisions do not always come from the rational mental processes but are often being driven by emotions. This insight made researchers think of emotions as of an essential contextual variable capable of enhancing personalized services and providing more precise recommendations within e-Commerce. In this paper we explore the studies made to discover why emotions are an important research domain necessary to understand purchasing behavior of online shoppers. We also explore how user emotions can be captured and recognized by existing technologies to provide enhanced personalization. Specifically, we apply Webster and Watson (2002) literature review approach to create a sample of studies published in scientific journals and conference proceedings. We synthesize the extant studies on the role of user emotions for personalized services within e-Commerce. We also provide a comprehensive concept-matrix which aggregates the range of existing emotions recognition technologies and highlights which specific emotions these technologies are able to recognize as well as in which domains these solutions are applied. Our study extends prior reviews and provides insights into open research areas which will benefit Human-Computer Interactions (HCI) practitioners and researchers in academia and industry.
机译:购买决策并非总是来自理性的心理过程,而是常常受情绪驱动。这种见解使研究人员将情感视为能够增强个性化服务并在电子商务中提供更精确建议的基本上下文变量。在本文中,我们探索进行的研究,以发现为什么情感是理解在线购物者购买行为所必需的重要研究领域。我们还将探讨如何通过现有技术捕获和识别用户的情感,以提供增强的个性化。具体来说,我们采用Webster和Watson(2002)的文献综述方法来创建在科学期刊和会议论文集上发表的研究样本。我们综合了有关用户情绪在电子商务中个性化服务中作用的现有研究。我们还提供了一个综合的概念矩阵,该矩阵汇总了现有情绪识别技术的范围,并突出显示了这些技术能够识别哪些特定情绪以及这些解决方案在哪些领域中得到了应用。我们的研究扩展了以前的评论,并提供了对开放研究领域的见解,这些领域将使学术界和工业界的人机交互(HCI)从业者和研究人员受益。

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