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

fYear

1993

fDate

3-5 Nov 1993

Firstpage

460

Lastpage

464

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Robot and Human Communication, 1993. Proceedings., 2nd IEEE International Workshop on

Conference_Location

Tokyo

Print_ISBN

0-7803-1407-7

Type

conf

DOI

10.1109/ROMAN.1993.367674

Filename

367674

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2378893