会话式AI开发平台的成熟度评估框架
A Maturity Assessment Framework for Conversational AI Development Platforms
摘要：
对话式人工智能（AI）系统最近人气飙升，现在被用于从汽车助理到客户支持的许多应用中。对话式人工智能系统的开发得到了各种软件平台的支持，这些平台都有类似的目标，但重点和功能不同。目前缺乏对会话式AI平台进行分类的系统基础。我们提出了一个评估对话式AI开发平台成熟度的框架。我们的框架是基于系统的文献综述，其中我们提取了各种开源和商业（或内部）平台的共同和独特的特征。受语言参考框架的启发，我们确定了会话式AI开发平台在理解和响应用户输入方面可能表现出的不同成熟度水平。我们的框架可以指导组织根据他们的需求选择对话式AI开发平台，并帮助研究人员和平台开发人员提高平台的成熟度。
英文摘要：
Conversational Artificial Intelligence (AI) systems have recently sky-rocketed in popularity and are now used in many applications, from car assistants to customer support. The development of conversational AI systems is supported by a large variety of software platforms, all with similar goals, but different focus points and functionalities. A systematic foundation for classifying conversational AI platforms is currently lacking. We propose a framework for assessing the maturity level of conversational AI development platforms. Our framework is based on a systematic literature review, in which we extracted common and distinguishing features of various open-source and commercial (or in-house) platforms. Inspired by language reference frameworks, we identify different maturity levels that a conversational AI development platform may exhibit in understanding and responding to user inputs. Our framework can guide organizations in selecting a conversational AI development platform according to their needs, as well as helping researchers and platform developers improving the maturity of their platforms.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
