NDLI: Robot's behavior expressions according to the sentence types and emotions with modification by personality

Content Provider	IEEE Xplore Digital Library
Author	Jong-Chan Park Hyunsoo Song Seongyong Koo Young-Min Kim Dong-Soo Kwon
Copyright Year	2010
Description	Author affiliation: Department of Mechanical Engineering and Human-Robot Interaction Research Center, KAIST(Korea Advanced Institute of Science and Technology), Daejeon 305-701, Republic of Korea (Jong-Chan Park) \|\| M.E. and HRI Research Center, KAIST, Daejeon, Republic of Korea (Hyunsoo Song; Seongyong Koo; Young-Min Kim; Dong-Soo Kwon)
Abstract	Expression has become one of important parts in human-robot interaction as an intuitive communication channel between humans and robots. However it is very difficult to construct robot's behaviors one by one. Developers consider how to make various motions of the robot easily. Therefore we propose an useful behavior expression method according to the sentence types and emotions. In this paper, robots express behaviors using motion sets of multi-modalities described as a combination of sentence types and emotions. In order to gather the data of multi-modal motion sets, we used video analysis of the actress for human modalities and did user-test for non-human modalities. We developed a behavior edit-toolkit to make and modify robot's behaviors easily. And also we proposed stereotyped actions according to the robot's personality for diversifying behavior expressions. Defined 25 behaviors based on the sentence types and emotions are applied to Silbot, a test-bed robot in CIR of Korea, and used for the English education.
Starting Page	105
Ending Page	110
File Size	268629
Page Count	6
File Format	PDF
ISBN	9781424491223
e-ISBN	9781424491230
DOI	10.1109/ARSO.2010.5680043
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-26
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context Humans Wheels Software Mobile robots Synchronization
Content Type	Text
Resource Type	Article

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