188 citations · 429 across the 11 of their papers we have counts for
11 papers
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…
Report of 2017 NSF Workshop on Multimedia Challenges, Opportunities and Research Roadmaps
Shih-Fu Chang, Alex Hauptmann, Louis-Philippe Morency +18
With the transformative technologies and the rapidly changing global R&D landscape, the multimedia and multimodal community is now faced with many new opportunities and uncertainti…
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…
Confiding in and Listening to Virtual Agents: The Effect of Personality
Jingyi Li, Michelle X. Zhou, Huahai Yang +1
We present an intelligent virtual interviewer that engages with a user in a text-based conversation and automatically infers the user's psychological traits, such as personality. W…
Computational Models for Attitude and Actions Prediction
Jalal Mahmud, Geli Fei, Anbang Xu +2
In this paper, we present computational models to predict Twitter users' attitude towards a specific brand through their personal and social characteristics. We also predict their…
Recommending Targeted Strangers from Whom to Solicit Information on Social Media
Jalal Mahmud, Michelle X. Zhou, Nimrod Megiddo +2
We present an intelligent, crowd-powered information collection system that automatically identifies and asks target-ed strangers on Twitter for desired information (e.g., cur-rent…
Who Will Retweet This? Automatically Identifying and Engaging Strangers on Twitter to Spread Information
Kyumin Lee, Jalal Mahmud, Jilin Chen +2
There has been much effort on studying how social media sites, such as Twitter, help propagate information in different situations, including spreading alerts and SOS messages in a…
Optimizing The Selection of Strangers To Answer Questions in Social Media
Jalal Mahmud, Michelle Zhou, Nimrod Megiddo +2
Millions of people express themselves on public social media, such as Twitter. Through their posts, these people may reveal themselves as potentially valuable sources of informatio…