Method to measure the effectiveness of new technologies that contribute to reducing damage from natural disasters
Yurina Koyama, Yusaku Okada
Development of an analysis support tool for near-miss events using ai technology - improving human factors management capabilities in the field
Yuka Banno, Yusaku Okada
A system for evaluating the status of future human error prevention activities in manufacturing sites based on information noticed during daily work
Kosei Koizumi, Yusaku Okada, Chikori Ino
Simulation of the effect of nurse staffing and rotation on the prevention of in-hospital fall accidents
Risako Iwabuchi, Yusaku Okada
Prototype of a safety management support tool using the results of a safety activity awareness survey
Saki Akita, Yusaku Okada
Research on incident cause analysis support methods in medical institutions using Large Language Model (LLM)
Yuriko Imura, Taisei Kiryu, Yuka Banno, Yusaku Okada
A Study on Methods for Measuring the Effectiveness of Andragogy-type Training for Personnel at the Core of Human Error Response Activities
— proposal of an assessment method using a competency map required for core personnel in human error response activities
Yu Shibuya, Yusaku Okada
Proposal for a Method to Support the Utilization of Near Miss Events in Human Error Response Activities of Railway Companies Using Specialized AI
Joohyun Lee, Yuka Banno, Yusaku Okada