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Conference Paper User Experience Method of Robot Teaching for Human-Robot Collaboration
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Authors
Jeyoun Dong, Hea-Min Lee, Dongyeop Kang, Yun Jeong Song
Issue Date
2019-05
Citation
IEMEK Symposium on Embedded Technology (ISET) 2019, pp.105-106
Publisher
대한임베디드공학회
Language
English
Type
Conference Paper
Abstract
Industry is currently demanding ideas for collaborative robots to enhance user experience and to use direct teaching affordably. Additionally, it is now accentuated to develop more intuitive graphical user interface (GUI) and teaching user experience (UX) that can learn and operate complex tasks with ease by site workers. Thus, this paper describes factors to consider for the human-centered UX design for teaching pendants that can be simply used by not only the person in charge but also novice. We examine usability features for teaching pendants of the existing collaborative robots. In addition, the user's desire is identified through user's theoretical, experimental analysis and usage analysis of user interface. In this study, the process of usage data analysis is presented.
KSP Keywords
Collaborative robot, Data analysis, Human-robot collaboration(HRC), UX design, Usage analysis, User experience, User interface(UI), complex task, experimental analysis, graphical user interface(GUI), human-centered