DocumentCode :
3484734
Title :
Quantification of concern for others to social skill evaluation
Author :
Igarashi, H.
Author_Institution :
Dept. of Electr. & Electron. Eng., Tokyo Denki Univ., Tokyo, Japan
fYear :
2013
fDate :
26-29 Aug. 2013
Firstpage :
559
Lastpage :
564
Abstract :
This paper addresses a quantification technique of cooperative characteristics on Concern For Others: CFO in a cooperative work by multiple operators. The cooperative works are generally required suitable cooperation to accomplish the task adequately. Although the “cooperation” is one of keywords for social psychological field, few study has been investigated for engineering application, that is, quantification of the cooperative characteristics is not focused on. Thus, most of researches on human-machine systems have been considered to assist a single operator. In that case, human intention concentrates upon only faced robot operation. Measured input command by the operator includes all of operator´s intention. However, in cooperative works, measured input probably contains the effect from other operators, that is CFO. A challenge of this study is to quantify the cooperative characteristics as the CFO in cooperative tasks. Then CFO utilizes to realize a novel assist system to enhance their cooperation. To obtain CFO in such tasks, the human input pattern during a solo work was learned by human model before the cooperative task. Then, the difference between measured input command in cooperative work and the predicted command in the human model is defined as the CFO. Finally, this paper addresses the correlation analysis between the CFO and cooperative task performance.
Keywords :
groupware; human-robot interaction; psychology; CFO; assist system; concern for others; cooperative characteristic quantification technique; cooperative task performance; cooperative work; human input pattern; human intention; human model; human-machine systems; social psychological; social skill evaluation; Collaborative work; Force; Man machine systems; Mathematical model; Predictive models; Robots; Virtual environments;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
RO-MAN, 2013 IEEE
Conference_Location :
Gyeongju
ISSN :
1944-9445
Type :
conf
DOI :
10.1109/ROMAN.2013.6628538
Filename :
6628538
Link To Document :
بازگشت