Several domain-specific assistants in the form of chatbots have conquered many commercial and private areas. However, there is still a limited level of systematic knowledge of the distinctive characteristics of design elements for chatbots to facilitate development, adoption, implementation, and further research. To close this gap, the paper outlines a taxonomy of design elements for chatbots with 17 dimensions organized into the perspectives intelligence, interaction and context. The conceptually grounded design elements of the taxonomy are used to analyze 103 chatbots from 23 different application domains. Through a clustering-based approach, five chatbot archetypes that currently exist for domain-specific chatbots are identified. The developed taxonomy provides a structure to differentiate and categorize domain-specific chatbots according to archetypal qualities that guide practitioners when taking design decisions. Moreover, the taxonomy serves academics as a foundation for conducting further research on chatbot design while integrating scientific and practical knowledge.

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任何情况下的虚拟协助

聊天机器人形式的几个特定领域的助手已经征服了许多商业和私人领域。然而，对于聊天机器人设计元素的独特特征以促进开发、采用、实施和进一步研究的系统知识水平仍然有限。为了弥补这一差距，本文概述了聊天机器人的设计元素分类法，将 17 个维度组织成视角、智能、交互和上下文。分类法的概念性设计元素用于分析来自 23 个不同应用领域的 103 个聊天机器人。通过基于聚类的方法，确定了当前存在于特定领域聊天机器人的五种聊天机器人原型。开发的分类法提供了一种结构，可以根据指导从业者在进行设计决策时的原型质量对特定领域的聊天机器人进行区分和分类。此外，该分类法为学术界提供了在整合科学和实践知识的同时对聊天机器人设计进行进一步研究的基础。