About Me

My research is driven by a vision of a human-machine symbiotic society: a world in which robots and AI dialogue systems live alongside people as genuine partners, understanding each user as an individual and adapting to them as naturally as a human companion would.

Pursuing this vision, I work in three complementary directions, all centered on one question: how can a machine truly understand a person, and act in a way that supports them?

• Hospitable mobile guide robots: designing service robots that guide and assist people in real environments, such as aquariums and museums, with the warmth and adaptability of a human host. This direction is supported by the JSPS Grant-in-Aid for Early-Career Scientists project “Research on Improving Hospitality of Mobile Dialogue Robots” (2025 to 2028, Principal Investigator).
• Multimodal user state estimation: estimating a user’s emotion, stress, behavior, and intent from speech, text, and physiological signals, giving the system the situational awareness it needs to respond appropriately.
• Personality-adaptive dialogue systems: enabling dialogue systems to recognize each user’s personality and adapt their speaking style, strategy, and decisions to the individual.

I am a faculty member of Prof. Ryuichiro Higashinaka’s laboratory at the Graduate School of Informatics, Nagoya University, where these research threads come together in real-world human-machine interaction. I received my Ph.D. in Computer and Information Science from Hosei University in 2021 and worked as a Postdoctoral Researcher at Nagoya University from 2021 to 2025 before being appointed Assistant Professor in 2026.

Contact: guo@i.nagoya-u.ac.jp  ·  Google Scholar  ·  researchmap  ·  ORCID

News

• 2026-10  [Upcoming] Tutorial “Full-Duplex Spoken Dialogue for Embodied AI: Applications in Virtual Avatars and Humanoid Robot Simulation” to be given at IEEE CyberSciTech 2026, Melbourne, November 2026
• 2026-10  [Upcoming] Co-authored paper “Multimodal Tsugaru-dialect spoken dialogue corpus with egocentric and exocentric perspectives” accepted at PACLIC 2026
• 2026-09  Co-authored paper “An Empirical Study for Effective LLM-Based Human-State Prediction from Physiological Data” published at ACII 2026 (Late-Breaking Results, ACIIW proceedings)
• 2026-09  [Upcoming] Co-authored paper “Toward Human-State Inferability in LLM-Based Classification Using Multimodal Wearable Data” accepted at GAI-HyperI 2026
• 2026-07  [Upcoming] Co-authored paper “Zero-Shot Dialogue Breakdown Detection in Human–Robot Spoken Interactions Using Multimodal Large Language Models” accepted at APSIPA ASC 2026
• 2026-07  Co-authored paper “Evaluating Cross-Video Emotion Recognition in EEG with Comparative Study and Factor Exploration” accepted at IEEE SWC 2026
• 2026-04  Started as Assistant Professor (Tenure-Track) at the Graduate School of Informatics, Nagoya University

Research Interests

• Hospitable mobile guide robots: service robots that guide and assist people in real environments with human-like hospitality
• Multimodal user state estimation: emotion, stress, attention, and intent from speech, text, and physiological signals
• Personality-adaptive dialogue systems: dialogue strategies and speaking styles adapted to each user’s personality
• User persona modeling: long-term modeling of individual traits, preferences, and background, as opposed to momentary states
• Wearable biometric identification: identifying individuals from ECG and other physiological signals, robust across emotional and stress states
• Personalized large language models: adapting LLMs to individual users’ traits and preferences