PROBLEM TO BE SOLVED: To estimate or forecast an internal state of an individual such as caution and memory from living body and brain function measurement signals, detect a state that a human error tends to occur, and issue a warning to take a precaution against a human error or to prevent the occurrence of a human error.SOLUTION: In a workshop in which machines are used, machine learning algorithm is applied to estimate an internal state (visual caution, memory on operations, a degree of skill or the like) which is obtained from an operators living body measurement signals. Then, a state that a human error tends to occur is forecasted and detected, and if a state that a risk of making mistakes is high is estimated, the states are fed back to the operator by means of the sense of sight, the sense of hearing, the sense of touch, or a combination of them to prevent the mistakes before they occur.COPYRIGHT: (C)2011,JPO&INPIT【課題】生体および脳機能計測信号から個々人の注意・記憶といった内部状態を推定もしくは予測し、ヒューマンエラーの起こりやすい状態を検出および警告することで、ヒューマンエラーを予防および防止する。【解決手段】機械を用いた作業場において、操作者の生体計測信号からの内部状態(視覚的注意・作業記憶・スキル習熟度など)を機械学習のアルゴリズムを適用して推定する。そして、ヒューマンエラーの起こりやすい状態を予測・検出し、過失の危険度が高い状態にあると推定される場合に、視覚・聴覚・触覚のいずれか若しくはそれらを組み合わせで操作者にフィードバックすることにより過失を事前に防ぐ。【選択図】図6B
