Michelle X. Zhou 1, Wenxi Chen 1, Ziang Xiao 2 Huahai Yang 1, Tracy Chi 1, Ransom Williams 1

1Juji, Inc., 2 University of Illinois at Urbana-Champaign

Abstract

We build conversational agents to serve as AI interviewers who engage a user in a one-on-one, text-based conversation. Our live demos showcase two special skills of an AI interviewer: (a) ability to actively listen to a user during an interview-responding to complex and diverse user input empathetically; and (b) the ability to automatically infer the user's Big 5 personality traits from the interview. We provide an overview of the technologies that enable these two abilities and real-world applications of such AI interviewers.

Bibtex

        @inproceedings{Zhou:2019:GVP:3308557.3308667,
        author = {Zhou, Michelle X. and Chen, Wenxi and Xiao, Ziang and Yang, Huahai and Chi, Tracy and Williams, Ransom},
        title = {Getting Virtually Personal: Chatbots Who Actively Listen to You and Infer Your Personality},
        booktitle = {Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion},
        series = {IUI '19},
        year = {2019},
        isbn = {978-1-4503-6673-1},
        location = {Marina del Ray, California},
        pages = {123--124},
        numpages = {2},
        url = {http://doi.acm.org/10.1145/3308557.3308667},
        doi = {10.1145/3308557.3308667},
        acmid = {3308667},
        publisher = {ACM},
        address = {New York, NY, USA},
        keywords = {AI interviewer, chatbot, personality inference},
        }