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

arXiv: https://arxiv.org/abs/2412.09867 · HTML: https://mlsanity.com/paper/2412.09867/

## 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 (most cited first, 2 of 2)

- [Multilingual Turn-taking Prediction Using Voice Activity Projection](https://mlsanity.com/paper/2403.06487/) (2024)
- [Real-time and Continuous Turn-taking Prediction Using Voice Activity Projection](https://mlsanity.com/paper/2401.04868/) (2024)

## Built on by (most cited first, 3 of 3)

- [Measuring Physical-World Privacy Awareness of Large Language Models: An Evaluation Benchmark](https://mlsanity.com/paper/2510.02356/) (2025)
- [Does the Appearance of Autonomous Conversational Robots Affect User Spoken Behaviors in Real-World Conference Interactions?](https://mlsanity.com/paper/2503.13625/) (2025)
- [Closing the Affective Loop: Multimodal Speaker-Listener Emotion-Dynamics-Aware Empathetic Social Robots](https://mlsanity.com/paper/2608.16686/) (2026)

## 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.