188 citations · 429 across the 11 of their papers we have counts for
5 papers · 1 filter
Democratizing Chatbot Debugging: A Computational Framework for Evaluating and Explaining Inappropriate Chatbot Responses
Xu Han, Michelle Zhou, Yichen Wang +2
Evaluating and understanding the inappropriateness of chatbot behaviors can be challenging, particularly for chatbot designers without technical backgrounds. To democratize the deb…
Powering an AI Chatbot with Expert Sourcing to Support Credible Health Information Access
Ziang Xiao, Q. Vera Liao, Michelle X. Zhou +2
During a public health crisis like the COVID-19 pandemic, a credible and easy-to-access information portal is highly desirable. It helps with disease prevention, public health plan…
Designing Effective Interview Chatbots: Automatic Chatbot Profiling and Design Suggestion Generation for Chatbot Debugging
Xu Han, Michelle Zhou, Matthew Turner +1
Recent studies show the effectiveness of interview chatbots for information elicitation. However, designing an effective interview chatbot is non-trivial. Few tools exist to help d…
If I Hear You Correctly: Building and Evaluating Interview Chatbots with Active Listening Skills
Ziang Xiao, Michelle X. Zhou, Wenxi Chen +2
Interview chatbots engage users in a text-based conversation to draw out their views and opinions. It is, however, challenging to build effective interview chatbots that can handle…
Tell Me About Yourself: Using an AI-Powered Chatbot to Conduct Conversational Surveys with Open-ended Questions
Ziang Xiao, Michelle X. Zhou, Q. Vera Liao +4
The rise of increasingly more powerful chatbots offers a new way to collect information through conversational surveys, where a chatbot asks open-ended questions, interprets a user…