论文标题
对话性AI开发平台的成熟评估框架
A Maturity Assessment Framework for Conversational AI Development Platforms
论文作者
论文摘要
对话人工智能（AI）系统最近在受欢迎程度上悬空，现在在许多应用中使用，从汽车助手到客户支持。对话性AI系统的开发得到了各种各样的软件平台的支持，所有软件平台都具有相似的目标，但重点点和功能不同。目前缺乏用于对话性AI平台进行分类的系统基础。我们提出了一个框架，以评估对话AI开发平台的成熟度水平。我们的框架基于系统文献综述，在该评论中，我们提取了各种开源和商业（或内部）平台的共同特征。受语言参考框架的启发，我们确定了不同的成熟度级别，在理解和响应用户输入方面，对话性AI开发平台可能会表现出不同的成熟度。我们的框架可以指导组织根据其需求选择对话性AI开发平台，并帮助研究人员和平台开发人员改善平台的成熟度。
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.
