Zihao Chi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Zihao Chi has a total of 12 co-authors. Here are the top co-authors by number of shared publications:
- Hiroshi Ishiguro
The University of Osaka, Toyonaka, Japan
4 shared publications - Masaya Iwasaki
University of Osaka, Osaka, Japan
4 shared publications - Yuichiro Yoshikawa
The University of Osaka, Osaka, Japan
4 shared publications - Alexis Meneses
Pontificia Universidad Catlica del Per, Lima, Peru
3 shared publications - Kazuki Masuda
University of Osaka, Osaka, Japan
3 shared publications - Kazuki Sakai
University of Osaka, Osaka, Japan
3 shared publications
Latest Publications
- Open Access
- 20 February 2026
- Published by Springer Nature in International Journal of Social Robotics
- Vol. 18 (2) , 34
Mobile Robot’s Vertical Oscillation and Body Posture Enhancing Human Perception of the Robot’s Locomotion Speed
- 20 February 2026
- Published by Springer Nature in International Journal of Social Robotics
- Vol. 18 (2) , 34
Open AccessMobile Robot’s Vertical Oscillation and Body Posture Enhancing Human Perception of the Robot’s Locomotion Speed
- Open Access
- 4 February 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Robotics and Automation Letters
- Vol. 11 (4) , 4339-4344
Following to Talk: Effects of Mobile Robot Guidance on Dialogue Motivation in a Field Trial
Since robots are often disregarded in public interactions, many studies have examined how nonverbal cues and dialogue strategies encourage users to initiate engagement. However, the impact of robot “movement” remains insufficiently investigated. This study examined the psychological effects of movement behavior on willingness to engage in dialogue in a scenario where a mobile guide robot leads people to a stationary robot. A field experiment in a shopping mall showed that guidance by a mobile robot significantly increased dialogue duration, whereas no correlation was found between moving distance and willingness to engage. These results suggest that physical commitment induced by guided movement may enhance user motivation, and that interaction designs leveraging movement behavior may be important for advancing the social implementation of interactive robots.
- 4 February 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Robotics and Automation Letters
- Vol. 11 (4) , 4339-4344
Open AccessFollowing to Talk: Effects of Mobile Robot Guidance on Dialogue Motivation in a Field Trial
Since robots are often disregarded in public interactions, many studies have examined how nonverbal cues and dialogue strategies encourage users to initiate engagement. However, the impact of robot “movement” remains insufficiently investigated. This study examined the psychological effects of movement behavior on willingness to engage in dialogue in a scenario where a mobile guide robot leads people to a stationary robot. A field experiment in a shopping mall showed that guidance by a mobile robot significantly increased dialogue duration, whereas no correlation was found between moving distance and willingness to engage. These results suggest that physical commitment induced by guided movement may enhance user motivation, and that interaction designs leveraging movement behavior may be important for advancing the social implementation of interactive robots.
- Open Access
- 1 January 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- p. 1
Step Closer or Rise? Effects of Spatial Behaviors on Persuasion in a Two-Robot Conversation
- 1 January 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- p. 1
Open AccessStep Closer or Rise? Effects of Spatial Behaviors on Persuasion in a Two-Robot Conversation
- Open Access
- 4 December 2023
- Published by Association for Computing Machinery (ACM)
- p. 257-263
Hospitable Guide Robot: Demonstrating the Impact of Vertical Oscillation and Looking Back Motion
Mobile robots are increasingly being utilized as guides in various settings. Ensuring efficient and hospitable interactions between robots and individuals is crucial for their successful implementation. However, there is a lack of understanding regarding the specific robot behaviors that can effectively guide individuals to their destinations while providing a sense of hospitality. In this study, we investigate two robot behaviors: “vertical oscillation motion” and “looking back motion,” with the objective of identifying behaviors that can optimize efficiency and hospitality in a guide robot. The vertical oscillation motion replicates the natural up-and-down movement of the human body during walking, while the looking back motion establishes eye contact and conveys a sense of hospitality. To evaluate the effectiveness of these behaviors, we conducted experiments with actual visitors at a shopping mall. Participants were exposed to the robot's behaviors and their responses were analyzed through questionnaires and interviews. The results revealed that the looking back motion successfully conveyed the robot's hospitality, while the vertical oscillation motion instilled a sense of urgency in individuals. However, it was found that only the looking back motion effectively motivated individuals to promptly commence walking towards the robot. These findings highlight the significance of incorporating specific robot behaviors to enhance both efficiency and hospitality in guiding individuals to their destinations. By understanding the impact of these behaviors, we can develop guide robots that accommodate a larger number of individuals while increasing their satisfaction. Future research endeavors should focus on evaluating the effectiveness of these behaviors in real-world environments, ensuring their practical applicability.
- 4 December 2023
- Published by Association for Computing Machinery (ACM)
- p. 257-263
Open AccessHospitable Guide Robot: Demonstrating the Impact of Vertical Oscillation and Looking Back Motion
Mobile robots are increasingly being utilized as guides in various settings. Ensuring efficient and hospitable interactions between robots and individuals is crucial for their successful implementation. However, there is a lack of understanding regarding the specific robot behaviors that can effectively guide individuals to their destinations while providing a sense of hospitality. In this study, we investigate two robot behaviors: “vertical oscillation motion” and “looking back motion,” with the objective of identifying behaviors that can optimize efficiency and hospitality in a guide robot. The vertical oscillation motion replicates the natural up-and-down movement of the human body during walking, while the looking back motion establishes eye contact and conveys a sense of hospitality. To evaluate the effectiveness of these behaviors, we conducted experiments with actual visitors at a shopping mall. Participants were exposed to the robot's behaviors and their responses were analyzed through questionnaires and interviews. The results revealed that the looking back motion successfully conveyed the robot's hospitality, while the vertical oscillation motion instilled a sense of urgency in individuals. However, it was found that only the looking back motion effectively motivated individuals to promptly commence walking towards the robot. These findings highlight the significance of incorporating specific robot behaviors to enhance both efficiency and hospitality in guiding individuals to their destinations. By understanding the impact of these behaviors, we can develop guide robots that accommodate a larger number of individuals while increasing their satisfaction. Future research endeavors should focus on evaluating the effectiveness of these behaviors in real-world environments, ensuring their practical applicability.