Bingsheng Yao, Dakuo Wang, et al.
ACL 2022
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.
Bingsheng Yao, Dakuo Wang, et al.
ACL 2022
Shivashankar Subramanian, Ioana Baldini, et al.
IAAI 2020
Hadar Mulian, Sergey Zeltyn, et al.
ICSE 2026
Gabriele Picco, Lam Thanh Hoang, et al.
EMNLP 2021