Where and Why is My Bot Failing? A Visual Analytics Approach for Investigating Failures in Chatbot Conversation Flows

Avi Yaeli, Sergey Zeltyn
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引用次数: 2

Abstract

The ongoing coronavirus pandemic has accelerated the adoption of AI-powered task-oriented chatbots by businesses and healthcare organizations. Despite advancements in chatbot platforms, implementing a successful and effective bot is still challenging and requires a lot of manual work. There is a strong need for tools to help conversation analysts quickly identify problem areas and, consequently, introduce changes to chatbot design. We present a visual analytics approach and tool for conversation analysts to identify and assess common patterns of failure in conversation flows. We focus on two key capabilities: path flow analysis and root cause analysis. Interim evaluation results from applying our tool in real-world customer production projects are presented.
我的Bot在哪里以及为什么会失败?一种用于调查聊天机器人会话流程失败的可视化分析方法
持续的冠状病毒大流行加速了企业和医疗机构对人工智能任务导向聊天机器人的采用。尽管聊天机器人平台取得了进步,但实现一个成功而有效的机器人仍然具有挑战性,需要大量的手工工作。迫切需要一些工具来帮助会话分析人员快速识别问题区域,从而对聊天机器人的设计进行更改。我们为会话分析人员提供了一种可视化分析方法和工具,以识别和评估会话流中常见的失败模式。我们专注于两个关键功能:路径流分析和根本原因分析。介绍了在实际客户生产项目中应用我们的工具的中期评估结果。
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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