Yuyi Liu
Dados Biográficos
| ID | 5129349 |
|---|---|
| NOME | Yuyi Liu |
| PRENOMES | Yuyi |
| SOBRENOME | Liu |
| ASSINATURA | LIU Y |
| AFILIAÇÕES | Kyoto University |
| ORCID | 0000-0002-5927-0000 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAÇÕES | 0 |
| OBRAS COMO AUTOR | 4 |
| OBRAS COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2022 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 0 |
Liquid droplet mops
Stop Ignoring Me! On Fighting the Trivialization of Social Robots in Public Spaces
Service and social robot in public scenarios will face various tasks in future applications, such as guiding people or admonishing them to provide assistance or convey social norms. Robots in public spaces might also incorporate roles of authority figures who might admonish people (e.g., security or guard robots). However, recent investigations showed that people ignore the admonishment of robots. Thus, in this work, we are looking at the reasons…
Field Trial of a Queue-Managing Security Guard Robot
We developed a security guard robot that is specifically designed to manage queues of people and conducted a field trial at an actual public event to assess its effectiveness. However, the acceptance of robot instructions or admonishments poses challenges in real-world applications. Our primary objective was to achieve an effective and socially acceptable queue-management solution. To accomplish this, we took inspiration from human security guard…
Simulation-Based Machine Learning for Detection of Rarely Occurring Behaviors Based on Human Trajectories
This study focuses on the identification of rarely occurring human behaviors that could pose a potential security threat in public spaces, especially relevant to autonomous robotic bodyguards. The goal is to develop machine learning models capable of recognizing behaviors indicative of hostile intent. Rarely occurring behaviors in this context refer to unusual movement patterns, such as loitering with suspicious intent, sudden directional changes…
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Stop Ignoring Me! On Fighting the Trivialization of Social Robots in Public Spaces
Service and social robot in public scenarios will face various tasks in future applications, such as guiding people or admonishing them to provide assistance or convey social norms. Robots in public spaces might also incorporate roles of authority figures who might admonish people (e.g., security or guard robots). However, recent investigations showed that people ignore the admonishment of robots. Thus, in this work, we are looking at the reasons…
Liquid droplet mops
Field Trial of a Queue-Managing Security Guard Robot
We developed a security guard robot that is specifically designed to manage queues of people and conducted a field trial at an actual public event to assess its effectiveness. However, the acceptance of robot instructions or admonishments poses challenges in real-world applications. Our primary objective was to achieve an effective and socially acceptable queue-management solution. To accomplish this, we took inspiration from human security guard…
Simulation-Based Machine Learning for Detection of Rarely Occurring Behaviors Based on Human Trajectories
This study focuses on the identification of rarely occurring human behaviors that could pose a potential security threat in public spaces, especially relevant to autonomous robotic bodyguards. The goal is to develop machine learning models capable of recognizing behaviors indicative of hostile intent. Rarely occurring behaviors in this context refer to unusual movement patterns, such as loitering with suspicious intent, sudden directional changes…
Artificial Intelligence (3 obras) · Computer Science (3 obras) · Robot (3 obras) · Autonomous Vehicle Technology and Safety (2 obras) · Advanced Malware Detection Techniques (1 obra) · Anomaly Detection Techniques and Applications (1 obra) · Applied Psychology (1 obra) · Biology (1 obra) · Clean water (1 obra) · Cognitive dissonance (1 obra)