Social identification-issuing system (SIIS) using micro-movement in social lifelogging

With the advent of Social Network Service, human life has been actively recorded for keeping memory. Recording and sharing daily life has been used to achieve the fundamental desire for socialization. The empathic behavior was necessary of a social interaction showing co-movement. Therefore, the goal of this study was to recognize the social behavior by using co-movement between persons in the basis of micro-movements and to determine social identification of group showing the same behavior. In order to do such process, the participants behavior was analyzed for determining the interaction differences between the interaction mode of face to face condition and personal mode of the mobile phone interaction. The co-movement from the social group showing the same behavior among the participants was determined by comparing the standard deviations of their micro-movements. The social ID (identification) was then provided with the determined social group. However, this method was inefficient due to frequent issuing of social ID. Therefore, this study proposed a new social identification-issuing system (SIIS) which followed two steps for optimization. First step was a process of the co-movement correction according to duration time from co-movement pairs. Second step was a process of the co-movement correction for among set of pairs in a group. The social IDs were issued to 57 IDs in the interaction mode and 91 IDs in the personal mode before the optimization. The new SIIS was optimized to obtain 17 IDs in the interaction mode and 20 IDs in the personal mode. The SIIS can be used in determining the social group and providing services for socialization in social media such as Facebook and Twitter, and service for Lifelogging such as Sony Lifelog and Fitbit Charge HR.