TOPICS
- Award
- 2024
Project Researcher Ryota Takamido, Research into Artifacts, Center for Engineering (RACE), recieved 2024 Best Presentation Award from the Japan Society for Precision Engineering
On March 14th 2024, Project Researcher Ryota Takamido, Research into Artifacts, Center for Engineering (RACE), recieved 2024 Best Presentation Award from the Japan Society for Precision Engineering.
2024 Best Presentation Award from the Japan Society for Precision Engineering
This award is presented to presenters who have made research presentations of outstanding merit at 2024 Spring Conference of Precision Engineering Society.
About awarded research
"Identification of expert inspection skills using multimodal perceptual-motor measurement system."
Hiroki Takeuchi, Ryota Takamido, Shinji Kanda, Yasushi Umeda, Hajime Asama, Seiji Kasahara, Hiroyuki Ito, Taizou Daito, Sunao Tamura,Toshiya Kato, Masahiro Korenaga, Akinobu Sasamura, Fumihiko Nonaka, Jun Ota. (2024).
Proceedings of the 2024 Spring Conference of Precision Engineering Society, H44, pp. (816-817). Tokyo, March 12-14, 2024.
The identification of expert inspection skills has been conducted by analyzing the eye behavior of expert inspectors, such as how long they look at specific parts of the inspection target. However, in practical situations, expert inspectors use a variety of sensory information to detect abnormalities at an early stage, such as auditory cues (e.g., strange noises coming from equipment), olfactory cues (e.g., the smell of leaking liquid in pipes), and haptic cues (e.g., equipment
vibrating more than usual). Therefore, we developed a multimodal perceptual-motor measurement system that integrates four different sensory presentation devices and conducted experiments with it to identify expert inspection skills from a new perspective. As a result of the experiment, we revealed that expert inspectors have a higher skill for detecting anomalies by combining multisensory information collected through various types of sensing behaviors such as touching, gazing, or moving their heads closer to the inspection target. These skills can be identified for the first time by the multimodal perceptual-motor measurement system developed in this study, and we expect to develop an educational system based on the obtained results in the future.
Your impression & future plan
I am deeply honored to receive this award. This award is a testament to the invaluable guidance of Professor Ota and all the researchers involved, coupled with the unwavering support of everyone who has championed my research efforts. My gratitude for this support is deep and heartfelt. This award will serve as a powerful motivator to redouble my research efforts and make a serious contribution to the advancement of science.