TY - GEN
T1 - Mobile learning system with context-aware interactions and point-of-interest understanding
AU - Chen, Oscal Tzyh Chiang
AU - Yu, Sung Nien
AU - Huang, Ching-Chun
AU - Lee, Huang Chen
AU - Hsueh, Yu Ling
AU - Sun, Jerry Chih-Yuan
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/11/28
Y1 - 2018/11/28
N2 - To explore museums and art galleries, visitors usually follow the routes and regulations that may limit learning interest and efficiency. How to improve and assess the learning effectneeds to be well addressed. Accordingly, we have developed a mobile learning system which can effectively offer visitors with attention tracking, interest cultivation, and immersive engagement. This work adopts the commercially-available smart glass accompanied with an additional camera, a Photoplethysmography (PPG) sensor module, and a smart phone or tablet to fulfill the integrated computations from multiple sensors. Based on these devices, the proposed system includes (1) computation of visual focal points, (2) attention estimation via heart rate variability, (3) indoor positioning, (4) derivation of user preferences and behaviors, and (5) intimate interactions of mobile learning. The experimental results reveal that the proposed mobile learning system can effectively increase user's interest, personality, and learning effect via contextaware interactions and point-of-interest understanding.
AB - To explore museums and art galleries, visitors usually follow the routes and regulations that may limit learning interest and efficiency. How to improve and assess the learning effectneeds to be well addressed. Accordingly, we have developed a mobile learning system which can effectively offer visitors with attention tracking, interest cultivation, and immersive engagement. This work adopts the commercially-available smart glass accompanied with an additional camera, a Photoplethysmography (PPG) sensor module, and a smart phone or tablet to fulfill the integrated computations from multiple sensors. Based on these devices, the proposed system includes (1) computation of visual focal points, (2) attention estimation via heart rate variability, (3) indoor positioning, (4) derivation of user preferences and behaviors, and (5) intimate interactions of mobile learning. The experimental results reveal that the proposed mobile learning system can effectively increase user's interest, personality, and learning effect via contextaware interactions and point-of-interest understanding.
KW - attention estimation
KW - learning effect
KW - localization
KW - mobile learning
KW - smart glasses
KW - user preference
KW - visual focal point
UR - http://www.scopus.com/inward/record.url?scp=85059975590&partnerID=8YFLogxK
U2 - 10.1109/ICMEW.2018.8551571
DO - 10.1109/ICMEW.2018.8551571
M3 - Conference contribution
AN - SCOPUS:85059975590
T3 - 2018 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2018
BT - 2018 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2018
Y2 - 23 July 2018 through 27 July 2018
ER -