DocumentCode :
2185215
Title :
Toward the body image horizon: How do users recognize the body of a robot?
Author :
Osawa, Hirotaka ; Matsuda, Yuuki ; Ohmura, Ren ; Imai, Michita
Author_Institution :
Fac. of Sci. & Technol., Keio Univ., Yokohama, Japan
fYear :
2010
fDate :
2-5 March 2010
Firstpage :
179
Lastpage :
180
Abstract :
In this study, we investigated the boundary for recognizing robots. Many anthropomorphic robots are used for interactions with users. These robots show various body forms and appearances, which are recognized by their users. This ability to recognize a variety of robotic appearances suggests that a user can recognize a wide range of imaginary body forms compared with the native human appearance. We attempted to determine the boundary for the recognition of robot appearances. On the basis of our previous studies, we hypothesized that the discrimination of robot appearances depends of the order of the parts. If the body parts of a robot are placed in order from top to bottom, the user can recognize the assembly as a robot body. We performed a human-robot experiment in which we compared the results for robots with ordered parts with those for robots with inverted parts. The result showed that the users´ perception of the robot´s body differed between the two groups. This result confirms our hypothesized boundary for the recognition of robot appearances.
Keywords :
gesture recognition; human-robot interaction; body image horizon; boundary anthropomorphic robots; human-robot experiment; robot; robot appearance recognition; robot body; robotic appearances; Anthropomorphism; Broadcast technology; Cognitive robotics; Eyes; Humanoid robots; Humans; Image recognition; Multimedia communication; Robotic assembly; Shape; anthropomorphization; design; human agent interaction; human interface; human-robot interaction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Human-Robot Interaction (HRI), 2010 5th ACM/IEEE International Conference on
Conference_Location :
Osaka
Print_ISBN :
978-1-4244-4892-0
Electronic_ISBN :
978-1-4244-4893-7
Type :
conf
DOI :
10.1109/HRI.2010.5453207
Filename :
5453207
Link To Document :
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