Mutual adaptive interface: laboratory experiments for human state estimation

Abstract

The validity of the human state estimation method based on the physiological measures as the source information for the mutual adaptive interface (MADI) proposed in the preceding paper has been shown through the laboratory experiments. The neural network has been adopted as the real-time estimation method for the short term state. The statistical properties of the physiological measures are shown to reflect the background state, such as the level of mental work load.<>