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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ÇÐȸÁö > µ¥ÀÌÅͺ£À̽º ¿¬±¸È¸Áö(SIGDB)

µ¥ÀÌÅͺ£À̽º ¿¬±¸È¸Áö(SIGDB)

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) ½Å±Ô ½º¸¶Æ®Æù »ç¿ëÀÚÀÇ Áß´Ü°¡´É¼º ¿¹Ãø Á¤È®µµ Çâ»ó ¿¬±¸
¿µ¹®Á¦¸ñ(English Title) Study on Improving Interruptibility Prediction Accuracy for New Smartphone Users
ÀúÀÚ(Author) ¾çÇö¼®   Ãֹμö   ÀÌÀç±æ   HyunSeok Yang   Minsu Choy   Jae-Gil Lee  
¿ø¹®¼ö·Ïó(Citation) VOL 32 NO. 02 PP. 0119 ~ 0129 (2016. 08)
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(Korean Abstract)
½º¸¶Æ®ÆùÀÇ ÀåÁ¡Àº ¾ðÁ¦ ¾îµð¼­³ª ÀÎÅͳݿ¡ Á¢¼Ó °¡´ÉÇÏ´Ù´Â °Í°ú ´Ã »ç¿ëÀÚ¿Í ÇÔ²² ÀÖ´Ù´Â °ÍÀÌ´Ù. ºñÁî´Ï½ºÀû °üÁ¡¿¡¼­ º¸¸é ¾ðÁ¦µç ¼ÒºñÀÚ¿¡°Ô Á¢±ÙÇÒ ¼ö ÀÖ´Â Åë·Î°¡ »ý±ä °ÍÀÌ´Ù. ÇÏÁö¸¸ »ç¿ëÀÚ¿¡°Ô ÇöÀç ÇÏ°í ÀÖ´Â ÀÏÀ» Àá½Ã Áß´ÜÇÏ°í ¿äû¹ÞÀº ÀÏÀ» ÇØ´Þ¶ó°í ¹æÇØÇÒ ¼ö ÀÖ´Â ½ÃÁ¡À» ÄÄÇ»ÅÍ°¡ Á¤È®È÷ ÀÎÁöÇÏ´Â °ÍÀº ¾î·Æ´Ù. ƯÈ÷ ½Å±Ô »ç¿ëÀÚ¿Í °°ÀÌ Ãʱ⠵¥ÀÌÅÍ°¡ ºÎÁ·ÇÑ »óȲ¿¡¼­ »ç¿ëÀÚÀÇ Áß´Ü°¡´É¼º (Interruptibility)À» ¿¹ÃøÇÏ´Â °ÍÀº ´õ¿í ¾î·Æ´Ù. º» ¿¬±¸¿¡¼­´Â ÀÌ·¯ÇÑ Ãʱ⠵¥ÀÌÅÍ È®º¸°¡ ¾î·Á¿î »óȲ¿¡¼­ ±âÁ¸ »ç¿ëÀÚµéÀÇ µ¥ÀÌÅ͸¦ È°¿ëÇÏ¿© ½Å±Ô ½º¸¶Æ®Æù »ç¿ëÀÚÀÇ Áß´Ü°¡´É¼ºÀ» ¿¹ÃøÇÏ´Â ¹æ¹ýÀ» ½ÇÇèÇÏ¿´´Ù. ½Å±Ô »ç¿ëÀÚ¿Í À¯»çÇÑ »ýÈ°ÆÐÅÏÀ» °®´Â ±âÁ¸ »ç¿ëÀÚµéÀ» ã±â À§ÇÏ¿© ½º¸¶Æ®Æù¿¡¼­ ÃßÃâ °¡´ÉÇÑ °¢Á¾ ¼¾¼­¿Í »ç¿ëÀÚÀÇ Çൿ µ¥ÀÌÅ͸¦ ºÐ¼®ÇÏ°í ºñ±³ÇÏ¿© À¯»ç »ç¿ëÀÚ¸¦ ã´Â ¹æ¹ýÀ» Àû¿ëÇÏ¿´´Ù. ÀÌ ¿¬±¸¸¦ ÅëÇØ ±âÁ¸ »ç¿ëÀÚµéÀÇ µ¥ÀÌÅ͸¦ È°¿ëÇÏ¿© Ãʱ⠵¥ÀÌÅÍ È®º¸°¡ ¾î·Á¿î ½º¸¶Æ®Æù ½Å±Ô »ç¿ëÀÚµéÀÇ Áß´Ü°¡´É¼º ¿¹Ãø Á¤È®µµ¸¦ Çâ»ó½ÃÅ°´Â ¹æ¹ýÀ» Á¦½ÃÇÑ´Ù.
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(English Abstract)
One of the advantages of using smart-phones is that it is accessible to the internet wherever the users are and that users carry them most of the time in their daily activities. From a commercial perspective, sellers are able to keep track of users through smart-phones. However, it is not easy to recognize the time when computers ask users to stop what they currently do for a moment, and then ask them to do what they are requested to carry out. In particular, it is challenging to predict interruptibility of users in a circumstance where the amount of dataset is sparse resulting from new users. This research conducted an experiment about a method to predict interruptibility of new smart-phone users especially when it is difficult to acquire the sufficient amount of dataset. It was attempted to analyze various types of sensors and user behaviors extracted from smart-phones to look for the existing users who have a similar activity pattern to the new users. The paper proposes an approach to improve a prediction accuracy of interruptibility of new users whose initial dataset are difficult to obtain by utilizing dataset of the existing users.
Å°¿öµå(Keyword) Áß´Ü°¡´É¼º   »óȲÀÎÁö   ½º¸¶Æ®Æù   À¯»çµµ   Interruptibility   Context-Awareness   Smart-phone   Similarity  
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