@inproceedings{pang-etal-2025-human,
    title = "Human-Like Embodied {AI} Interviewer: Employing Android {ERICA} in Real International Conference",
    author = "Pang, Zi Haur  and
      Fu, Yahui  and
      Lala, Divesh  and
      Elmers, Mikey  and
      Inoue, Koji  and
      Kawahara, Tatsuya",
    editor = "Rambow, Owen  and
      Wanner, Leo  and
      Apidianaki, Marianna  and
      Al-Khalifa, Hend  and
      Eugenio, Barbara Di  and
      Schockaert, Steven  and
      Mather, Brodie  and
      Dras, Mark",
    booktitle = "Proceedings of the 31st International Conference on Computational Linguistics: System Demonstrations",
    month = jan,
    year = "2025",
    address = "Abu Dhabi, UAE",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2025.coling-demos.14/",
    pages = "136--150",
    abstract = "This paper introduces the human-like embodied AI interviewer which integrates android robots equipped with advanced conversational capabilities, including attentive listening, conversational repairs, and user fluency adaptation. Moreover, it can analyze and present results post-interview. We conducted a real-world case study at SIGDIAL 2024 with 42 participants, of whom 69{\%} reported positive experiences. This study demonstrated the system`s effectiveness in conducting interviews just like a human and marked the first employment of such a system at an international conference. The demonstration video is available at https://youtu.be/jCuw9g99KuE."
}