TY - GEN
T1 - Extreme motion based interaction for enhancing mobile game experience
AU - Kim, Youngwon
AU - Ahn, Jong Gil
AU - Kim, Gerard Jounghyun
PY - 2013
Y1 - 2013
N2 - In this paper, we propose to enact interaction by "extreme" motion involving multiple body parts and thereby maximize the whole body experience. By detecting the relative movements among multiple body parts, rather than an extended motion of just a single body part, the extreme motion can be contained within the personal space (not to disturb others around). Such a scheme was tested on a simple mobile game and compared to interfaces that were based on conventional touch interface and absolute motion detection. Experimental results showed that while incorporating extreme "relative" motion resulted in higher level of excitement and user experience by involving more body parts, the control performance significantly suffered (due to the head movements).
AB - In this paper, we propose to enact interaction by "extreme" motion involving multiple body parts and thereby maximize the whole body experience. By detecting the relative movements among multiple body parts, rather than an extended motion of just a single body part, the extreme motion can be contained within the personal space (not to disturb others around). Such a scheme was tested on a simple mobile game and compared to interfaces that were based on conventional touch interface and absolute motion detection. Experimental results showed that while incorporating extreme "relative" motion resulted in higher level of excitement and user experience by involving more body parts, the control performance significantly suffered (due to the head movements).
KW - Extreme motion
KW - Motion Detection
KW - User Experience
KW - Whole Body Interaction
UR - http://www.scopus.com/inward/record.url?scp=84880689086&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-39262-7_28
DO - 10.1007/978-3-642-39262-7_28
M3 - Conference contribution
AN - SCOPUS:84880689086
SN - 9783642392610
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 249
EP - 257
BT - Human-Computer Interaction
T2 - 15th International Conference on Human-Computer Interaction, HCI International 2013
Y2 - 21 July 2013 through 26 July 2013
ER -