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The System Developing Social Network Group by Using Life Logging Data  

Jo, Youngho (감성과학연구센터)
Woo, Jincheol (상명대학교 감성공학과)
Lee, Hyunwoo (상명대학교 감성공학과)
Cho, Ayoung (상명대학교 감성공학과)
Whang, Mincheol (상명대학교 휴먼지능정보공학과)
Publication Information
Journal of the HCI Society of Korea / v.12, no.2, 2017 , pp. 13-19 More about this Journal
Abstract
Various life-logging based on cloud service have developed social network according to the advanced technology of smartphone and wearable device. Daily digital life on social networks has been shared information and emotion and developed new social relationships. Recent life-logging has required social relationships beyond extension of personal memory and anonymity for privacy protection. This study is to determine social network group by using life-logging data obtained in daily lives and to categorize emotion behavior with anonymity guarantee. Social network group was defined by grouping similar representative emotional behavior. The public's patterns and trends was able to be inferred by analyzing representative emotion and behavior of the social groups network.
Keywords
Social network group; Social group; Social ID; Life-logging; Synchronization;
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