DocumentCode :
3314143
Title :
Exploring effects of educational backgrounds and gender in human-robot interaction
Author :
Nomura, Tatsuya ; Takagi, Satoru
Author_Institution :
Dept. of Media Inf., Ryukoku Univ., Otsu, Japan
fYear :
2011
fDate :
Nov. 29 2011-Dec. 1 2011
Firstpage :
24
Lastpage :
29
Abstract :
Recent Human-Robot Interaction (HRI) research has focused on human factors. To deepen the exploration of human factors in HRI, research has also investigated humans´ educational backgrounds and gender, and the gender assignment of robots. In a psychological experiment, robot gender was assigned only by the name of the robot and a brief verbal instruction by the experimenters. The results showed that subjects with educational backgrounds of natural science and technology had stronger impressions toward the robot than did those of a social science background. Additionally, the perceived robot femininity and one of the impressions positively influenced the recall task scores of the robot´s utterances, in particular in male samples.
Keywords :
gender issues; human factors; human-robot interaction; effect exploration; experimenter verbal instruction; human educational backgrounds; human factors; human-robot interaction; natural science-technology; robot femininity; robot gender assignment; robot name; robot utterances; social science background; Analysis of variance; Context; Education; Human factors; Humans; Robot sensing systems; educational backgrounds; gender; robot;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
User Science and Engineering (i-USEr), 2011 International Conference on
Conference_Location :
Shah Alam, Selangor
Print_ISBN :
978-1-4577-1654-6
Type :
conf
DOI :
10.1109/iUSEr.2011.6150530
Filename :
6150530
Link To Document :
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