Title :
Mutual adaptive interface: laboratory experiments for human state estimation
Author :
Kubo, Osamu ; Takahashi, Makoto ; Yoshikawa, Hidekazu
Author_Institution :
Inst. of Atomic Energy, Kyoto Univ., Japan
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
Keywords :
adaptive systems; human factors; neural nets; real-time systems; state estimation; user interfaces; human state estimation; mental work load; mutual adaptive interface; neural network; physiological measures; real-time estimation; statistical properties; Atomic measurements; Energy measurement; Humans; Laboratories; Machine components; Neural networks; Performance analysis; Problem-solving; State estimation; User interfaces;
Conference_Titel :
Robot and Human Communication, 1993. Proceedings., 2nd IEEE International Workshop on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-1407-7
DOI :
10.1109/ROMAN.1993.367674
