2 papers
cs.HC2026
A Scenario-Knowledge-Driven Pipeline for Just-in-Time Assistance
Zhiyuan Li, Tatsunori Hara, Jun Ota
Detecting a silently struggling kiosk user is only the first step; deciding whether, when, and how to help depends on scenario knowledge usually buried in model weights and thresho…
cs.AI2025
FBS Model-based Maintenance Record Accumulation for Failure-Cause Inference in Manufacturing Systems
Takuma Fujiu, Sho Okazaki, Kohei Kaminishi +6
In manufacturing systems, identifying the causes of failures is crucial for maintaining and improving production efficiency. In knowledge-based failure-cause inference, it is impor…