Title :
Drawing learning support system with the past brilliant learner-self using visual and auditory feedback
Author :
Keiko Yamamoto;Stefania Serafin
Author_Institution :
Kyoto Institute of Technology
fDate :
3/1/2015 12:00:00 AM
Abstract :
Illustrators who have some drawing experience can sometimes draw an ideal stroke repeatedly. However, they cannot always reproduce an ideal stroke that they have drawn, because they do not understand how they moved their own hands while drawing it. Therefore we proposed a new drawing learning support system based on present- ing the ideal stroke motion of the learners (past brilliant learner- self ) as teacher´s motion which the learners can enhance their own drawing skills. In this paper, we focus on a design of auditory feed- back in order to make it easier for leaners to understand the differ- ence between their current one and ideal one.
Keywords :
"Visualization","Shape","Computers","Friction","Image color analysis","Electronic mail","Writing"
Conference_Titel :
Sonic Interactions for Virtual Environments (SIVE), 2015 IEEE 2nd VR Workshop on
DOI :
10.1109/SIVE.2015.7361294