Behavioral assessment of a humanoid robot when attracting pedestrians in a mall
Yuki Okafuji, Yasunori Ozaki, Jun Baba, Junya Nakanishi, Kohei Ogawa,, Yuichiro Yoshikawa, Hiroshi Ishiguro

TL;DR
This study evaluates how different behavioral strategies of a humanoid robot influence pedestrian engagement in a mall, showing that passive-negative behavior increases stopping and engagement, with performance comparable to humans.
Contribution
It introduces and compares three autonomous behavioral concepts for service robots in a real-world mall environment, highlighting the effectiveness of passive-negative behavior.
Findings
Passive-negative behavior increases pedestrian stopping and engagement.
Robot behaviors are comparable to human advertisers in information delivery.
Passive-negative concept outperforms other robot behaviors in engagement metrics.
Abstract
Research currently being conducted on the use of robots as human labor support technology. In particular, the service industry needs to allocate more manpower, and it will be important for robots to support people. This study focuses on using a humanoid robot as a social service robot to convey information in a shopping mall, and the robot's behavioral concepts were analyzed. In order to convey the information, two processes must occur. Pedestrians must stop in front of the robot, and the robot must continue the engagement with them. For the purpose of this study, three types of autonomous behavioral concepts of the robot for the general use were analyzed and compared in these processes in the experiment: active, passive-negative, and passive-positive concepts. After interactions were attempted with 65,000+ pedestrians, this study revealed that the passive-negative concept can make…
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Taxonomy
TopicsSocial Robot Interaction and HRI
