If I Hear You Correctly: Building and Evaluating Interview Chatbots with Active Listening Skills
February 05, 2020 Β· Declared Dead Β· π International Conference on Human Factors in Computing Systems
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Authors
Ziang Xiao, Michelle X. Zhou, Wenxi Chen, Huahai Yang, Changyan Chi
arXiv ID
2002.01862
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI,
cs.CL
Citations
112
Venue
International Conference on Human Factors in Computing Systems
Last Checked
3 months ago
Abstract
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 user free-text responses to open-ended questions and deliver engaging user experience. As the first step, we are investigating the feasibility and effectiveness of using publicly available, practical AI technologies to build effective interview chatbots. To demonstrate feasibility, we built a prototype scoped to enable interview chatbots with a subset of active listening skills - the abilities to comprehend a user's input and respond properly. To evaluate the effectiveness of our prototype, we compared the performance of interview chatbots with or without active listening skills on four common interview topics in a live evaluation with 206 users. Our work presents practical design implications for building effective interview chatbots, hybrid chatbot platforms, and empathetic chatbots beyond interview tasks.
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