当聊天机器人失败时:探索用户在聊天机器人引发服务故障后的应对方法

Ruby Wenjiao Zhang, Xiaoning Liang, Szu-Hsin Wu
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引用次数: 0

摘要

目的虽然聊天机器人的普及使公司能以节约成本和时间的方式与客户建立联系,但不可否认的是,聊天机器人经常会辜负人们的期望,甚至会对用户体验造成负面影响。本研究的目的是实证探索聊天机器人的负面用户体验,了解用户如何应对聊天机器人导致的服务失败。研究结果本研究采用定性研究方法,对 23 份访谈记录进行了主题分析。这些方面包括聊天机器人无法理解和提供信息、过度询问个人信息或敏感信息、伪造人性、与人工座席整合不佳以及无法解决复杂的用户询问。参与者在与聊天机器人互动时会体验到愤怒、沮丧、背叛和被动失败等负面情绪。我们还揭示了用户在聊天机器人引发失败后所采用的四种应对策略:寻求表达性支持、积极应对、接受和退出。 原创性/价值我们的研究扩展了我们目前对人类与聊天机器人互动的理解,并提供了重要的管理意义。它强调了企业重新考虑聊天机器人在用户互动中的作用以及在服务环境中平衡使用人类和聊天机器人的重要性,尤其是在涉及解决复杂问题或处理非程序化任务的客户服务互动中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
When chatbots fail: exploring user coping following a chatbots-induced service failure
PurposeWhile the proliferation of chatbots allows companies to connect with their customers in a cost- and time-efficient manner, it is not deniable that they quite often fail expectations and may even pose negative impacts on user experience. The purpose of the study is to empirically explore the negative user experience with chatbots and understand how users respond to service failure caused by chatbots.Design/methodology/approachThis study adopts a qualitative research method and conducts thematic analysis of 23 interview transcripts.FindingsIt identifies common areas where chatbots fail user expectations and cause service failure. These include their inability to comprehend and provide information, over-enquiry of personal or sensitive information, fake humanity, poor integration with human agents, and their inability to solve complicated user queries. Negative emotions such as anger, frustration, betrayal and passive defeat were experienced by participants when they interacted with chatbots. We also reveal four coping strategies users employ following a chatbots-induced failure: expressive support seeking, active coping, acceptance and withdrawal.Originality/valueOur study extends our current understanding of human-chatbot interactions and provides significant managerial implications. It highlights the importance for organizations to re-consider the role of their chatbots in user interactions and balance the use of human and chatbots in the service context, particularly in customer service interactions that involve resolving complex issues or handling non-routinized tasks.
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