Inaccurate identification of food ingredients during preparation or selection leads to severe physiological reactions. Mitigating this risk ensures user safety in automated dietary management systems.

Unreliable estimation of subjective evaluation values and future interaction states. Accurate prediction reduces system latency and improves interface responsiveness.