Abstract
We live in an era in which social network services are very active due to the development of technology. People are eager to get connected to other people. The present study is aimed to design a model that a user can determine his connection with others based on the temporal explicit movements among his explict information in daily life and identified the group automatically giving random number according to the determined co-movement. This study filmed and analyzed the explicit movements of participants. The movments was divided them into two modes of behaviors: interaction mode and private mode. The division was necessary because this study was aimed to find out the difference in co-movement and group ID (indentification) by mode of behavior. 17 group IDs were derived from interaction mode and 20 group IDs from private mode. Social connection was observed to be updated and changed more often and changed in private mode than in interaction. This study was successful to determine connected group automatically and issue group IDs.
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© 2015 Springer Science+Business Media Singapore
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Jo, Y.H., Lee, J.N., Kim, H.J., Woo, J.C., Lee, Y.J., Whang, M.C. (2015). Group ID Issuing Model Using Temporal Explicit Movement in Social Life Logging. In: Park, DS., Chao, HC., Jeong, YS., Park, J. (eds) Advances in Computer Science and Ubiquitous Computing. Lecture Notes in Electrical Engineering, vol 373. Springer, Singapore. https://doi.org/10.1007/978-981-10-0281-6_26
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DOI: https://doi.org/10.1007/978-981-10-0281-6_26
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Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-0280-9
Online ISBN: 978-981-10-0281-6
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