Matching digital companions with customers: The role of perceived similarity

Katja Gelbrich, Alina Kerath, HaeEun Helen Chun
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Abstract

Digital companions are an advanced form of digital agents that do not only provide advice and support but accompany people on their day‐to‐day customer journeys. This article sheds light on the psychological processes underlying customers’ responses to these digital companions (i.e., virtual friends or co‐consumers). We propose that framing them as matched with customers on goal‐relevant attributes (i.e., attributes related to customers’ consumption goals) fosters positive customer outcomes (i.e., consumption enjoyment and positive word‐of‐mouth), mediated by perceived similarity in these attributes. Importantly, in this matching context, humanlikeness serves as a boundary condition for perceived similarity to occur. Furthermore, the effect of perceived similarity on customer outcomes is driven by perceived connectedness. In Study 1, in the context of experiential learning, we identified shared interest and personality as goal‐relevant attributes underlying perceived similarity. With the manipulation of the match frame and humanlike versus artificial voice of the digital companion, Study 2 supports our propositions and highlights shared interest, but not personality, as the core driver. We provide recommendations on how to design and market digital companions to foster connection and favorable customer outcomes.
将数字伙伴与客户匹配:感知相似性的作用
数字伴侣是一种高级形式的数字代理,它不仅提供建议和支持,而且陪伴人们度过日常的客户旅程。本文揭示了消费者对这些数字伙伴(即虚拟朋友或共同消费者)的反应背后的心理过程。我们建议将它们与客户的目标相关属性(即与客户消费目标相关的属性)相匹配,通过感知这些属性的相似性来促进积极的客户结果(即消费享受和积极的口碑)。重要的是,在这种匹配的背景下,人类的相似性作为感知相似性发生的边界条件。此外,感知相似性对客户结果的影响是由感知连通性驱动的。在研究1中,在体验式学习的背景下,我们确定了共同兴趣和个性作为感知相似性的目标相关属性。通过对匹配框架的操纵以及数字伴侣的人声与人声的对比,研究2支持了我们的主张,并强调了共同的兴趣,而不是个性,作为核心驱动因素。我们就如何设计和营销数字伙伴提供建议,以促进联系和有利的客户结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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