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Juji Research Publications

  1. Xu Han, Michelle X. Zhou, Matthew Turner, and Tom Yeh. (2021) Designing Effective Interview Chatbots: Automatic Chatbot Profiling and Design Suggestion Generation for Chatbot Debugging. ACM CHI'2021. Watch a video intro and a recorded presentation.
  2. Ziang Xiao, Michelle X. Zhou, Wenxi Chen, Huahai Yang, and Changyan Chi. (2020) If I Hear You Correctly: Building and Evaluating Interview Chatbots with Active Listening Skills. ACM CHI'2020. https://doi.org/10.1145/3313831.3376131
  3. Q. Vera Liao, Yi-Chia Wang, Timothy Bickmore, Pascale Fung, Jonathan Grudin, Zhou Yu, and Michelle X. Zhou. (2019) Human-Agent Communication: Connecting Research and Development in HCI and AI. ACM CSCW'2019 Companion: 122-126.
  4. Michelle X. Zhou. (2019) Getting virtually personal: making responsible and empathetic "Her" for everyone. ACM IUI'2019 Keynote.
  5. Michelle X. Zhou, Wenxi Chen, Ziang Xiao, Huahai Yang, Tracy Chi, and Ransom Williams. (2019) Getting virtually personal: chatbots who actively listen to you and infer your personality. ACM IUI'2019 Companion: 123-124.
  6. Michelle X. Zhou, Gloria Mark, Jingyi Li, and Huahai Yang. (2019) Trusting Virtual Agents: The Effect of Personality. ACM TiiS 9(2-3): 10:1-10:36.
  7. Ziang Xiao, Michelle X. Zhou, and Wat-Tat Fu. (2019) Who should be my teammates: using a conversational agent to understand individuals and help teaming. ACM IUI'2019: 437-447.
  8. Michelle X. Zhou, Carolyn Wang, Gloria Mark, Huahai Yang, and Kevin Xu. (2019) Building Real-World Chatbot Interviewers: Lessons from a Wizard-of-Oz Field Study. ACM IUI'2019 International Workshop on Conversational Agents.
  9. Ziang Xiao, Michelle X. Zhou, Q. Vera Liao, Gloria Mark, Chang Yan Chi, Wenxi Chen, and Huahai Yang. (2019) Tell Me About Yourself: Using an AI-Powered Chatbot to Conduct Conversational Surveys. CoRR abs/1905.10700
  10. Fatema Akbar, Ted Grover, Gloria Mark, and Michelle X. Zhou. (2018) The Effects of Virtual Agents' Characteristics on User Impressions and Language Use. ACM IUI'2018 Companion: 56:1-56:2.
  11. Jingyi Li, Michelle X. Zhou, Huahai Yang, and Gloria Mark. (2017) Confiding in and Listening to Virtual Agents: The Effect of Personality. ACM IUI'2017: 275-286.

Juji Technical Talks

  1. Michelle X. Zhou and Wenxi Chen (2021) Democratizing AI: Creating Cognitive AI Assistants with No Coding. ACM Tech Talks on AI & Machine Learning. April, 2021. Recorded talk on Youtube.
  2. Michelle X. Zhou. (2021) Cognitive AI Assistants: A New Generation of AI Companions. Invited Keynote, The Workshop on Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI) at ACM Human-Robot Interaction (HRI) 2021. March, 2021.
  3. Michelle X. Zhou. (2020) Conversational AI Agents That Can Truly Understand and Help Users. ACM RecSys 2020. Keynote
  4. Wenxi Chen. (2020) A Chatbot Platform that Everyone Can Use. Nvidia GPU Technology Conference GTC 2020. [video] [slides]
  5. Huahai Yang. (2020) Datalevin: a Simple Datalog Database for Building Stateful Applications. London Clojurians Meetup. [slides]
  6. Huahai Yang. (2020) Data Diffing Based Software Architecture Patterns. Clojure/north 2020. [slides] [Q&A Video]
  7. Michelle X. Zhou. (2020) You Really Get Me: Conversational AI That Can Truly Understand and Help Users AAAI'2020 WICRS 2020.
  8. Michelle X. Zhou. (2020) Democratizing AI: The Easiest Way to Scale Business with AI Helpers. ACM SF Meetup 2020.
  9. Michelle X. Zhou. (2019) Getting virtually personal: making responsible and empathetic "Her" for everyone. Youtube Video. ACM IUI' 2019 Keynote.
  10. Michelle X. Zhou. (2019) Getting Virtually Personal: Power Conversational AI to Fulfill Tasks and Personalize Chitchat for Real-World Applications.. ACM ICMI' 2019 Tutorial.
  11. Huahai Yang. (2018) A Clojure Fusion of Symbolic and Data Driven AI. Clojure Conj 2018. [slides]

Juji Open Source Software

  1. Datalevin: a fast Datalog database.
  2. Editscript: a library to diff and patch Clojure/Clojurescript data structures.
  3. Juji cli-client: a node.js command line client for Juji platform.
  4. Gibberish-detector: a library to detect gibberish.

Juji Interviews and Press

  1. University Business Magazine. 4 must-haves for universities when considering a chatbot. 2021
  2. Association for Computing Machinery. People of ACM - Michlle Zhou. 2021
  3. On AiRR A.I. Podcast.The Word is "Responsibility" | AGI Inception Ep 7 with Michelle Zhou. 2020
  4. CoCoHub.Taking Turns - Ep001 with Michelle Zhou. 2020.
  5. Automaticopy.It takes a village, or a global community, to raise a chatbot. 2020.
  6. Minter Dialog.The Making of Juji, an Empathic Bot. MDE347, 2019.
  7. All Turtles Podcast.Empathetic and responsible AI with Michelle Zhou. 2019.
  8. OnePiece Work.Juji: Responsible and Empathetic AI. 2019.
  9. VentureBeat.Juji is an empathetic AI chatbot that holds personalized conversations with people by Dean Takahashi, 2018
  10. New Yorker.The Hype—and Hope—of Artificial Intelligence by Om Malik, 2016
  11. New York Times.For Sympathetic Ear, More Chinese Turn to Smartphone Program by John Markoff and Paul Mozur, 2015

Third Party Research Publications Related to Juji

  1. Yunyao Li, Tyrone Grandison, Patricia Silveyra, Ali Douraghy, Xinyu Guan, Thomas Kieselbach, Chengkai Li and Haiqi Zhang. Jennifer for COVID-19: An NLP-Powered Chatbot Built for the People and by the People to Combat Misinformation. ACL 2020 Workshop NLP-COVID
  2. Sarah Theres Völkel, Renate Haeuslschmid, Anna Werner, Heinrich Hussmann, Andreas Butz. (2020) How to Trick AI: Users' Strategies for Protecting Themselves from Automatic Personality Assessment. ACM CHI' 2020. [video]
  3. Xu Han Am I Asking It Properly?: Designing and Evaluating Interview Chatbots to Improve Elicitation in an Ethical Way. ACM IUI' 2020.
  4. Yu Chen and Timothy Hill. (2020) Teaching Business Students Chatbots: First Forays and Lessons Learned Americas Conference on Information Systems (AMCIS 2020).
  5. Jonathan Grudin and Richard Jacques. (2019) Chatbots, Humbots, and the Quest for Artificial General Intelligence. ACM CHI' 2019: 209.
  6. Sambhav Gupta, Krithika Jagannath, Nitin Aggarwal, Ramamurti Sridar, Shawn Wilde, and Yu Chen (corresponding author). (2019) Artificially Intelligent (AI) Tutors in the Classroom: A Need Assessment Study of Designing Chatbots to Support Student Learning. Pacific Asia Conference on Information Systems (PACIS 2019).
  7. Terri Lee, Krithika Jagannath, Nitin Aggarwal, Ramamurti Sridar, Shawn Wilde, Timothy Hill, Yu Chen (corresponding author). (2019) Intelligent Career Advisers in Your Pocket? A Need Assessment Study of Chatbots for Student Career Advising. Americas Conference on Information Systems (AMCIS 2019).

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