Instant Social Networking with Startup Time Minimization Based on Mobile Cloud Computing

被引:3
作者
Chen, Lien-Wu [1 ]
Ho, Yu-Fan [1 ]
Tsai, Ming-Fong [2 ]
机构
[1] Feng Chia Univ, Dept Informat Engn & Comp Sci, Taichung 407, Taiwan
[2] Natl United Univ, Dept Elect Engn, Miaoli 360, Taiwan
关键词
cloud computing; human-machine interface; image processing; mobile device; social networking; FACE RECOGNITION; EXECUTION;
D O I
10.3390/su10041195
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Mobile communication and handheld devices are currently extremely popular, and provide people with convenient and instant platforms for social networking. However, existing social networking services cannot offer efficient human-machine interfaces or intuitive user experiences. Mobile users must manually input account information and find targets from search results when attempting to add someone to their friend list on social networking sites, such as Facebook and Twitter. Additionally, mobile users may not be able to identify correct targets because some usernames are identical. Typos may occur during the input process due to unfamiliar identifiers, further increasing the total operation time. To encourage social initiation between mobile users, we design an instant social networking framework, called SocialYou, to minimize the startup time based on mobile cloud computing. SocialYou proposes an efficient architecture and innovative human-machine interfaces to alleviate the complexity and difficulty for mobile users using handheld devices. In particular, we implement an Android-based prototype to verify the feasibility and superiority of SocialYou. The experimental results show that SocialYou outperforms the existing methods and saves substantial amounts of operation time for mobile social networking.
引用
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页数:14
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