mlsanityData to 14 Oct 2026

Human-Like Embodied AI Interviewer: Employing Android ERICA in Real International Conference

arXiv 2412.09867 ↗First posted 13 Dec 2024cs.CL cs.HCcited by 3

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Abstract (arXiv)

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.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 2 of its 28 references that are in the map. First posted on arXiv 13 Dec 2024.

Builds on

2 of 28 references.

References · 2

  1. 2024Multilingual Turn-taking Prediction Using Voice Activity Projectioncited by 26
  2. 2024Real-time and Continuous Turn-taking Prediction Using Voice Activity Projectioncited by 21

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 2; 2026: 1.

3 papers.

  1. 2025Measuring Physical-World Privacy Awareness of Large Language Models: An Evaluation Benchmarkcited by 2
  2. 2025Does the Appearance of Autonomous Conversational Robots Affect User Spoken Behaviors in Real-World Conference Interactions?cited by 1
  3. 2026Closing the Affective Loop: Multimodal Speaker-Listener Emotion-Dynamics-Aware Empathetic Social Robotscited by 0