US2016255164A1PendingUtilityA1

Information processing apparatus, information processing method and program

Assignee: SONY CORPPriority: Jun 1, 2012Filed: May 11, 2016Published: Sep 1, 2016
Est. expiryJun 1, 2032(~5.9 yrs left)· nominal 20-yr term from priority
G06Q 10/40H04W 4/025H04M 2250/12G06F 40/205H04L 67/10H04L 67/22H04L 67/62H04L 51/52H04L 67/52H04L 67/535H04M 1/72448
57
PatentIndex Score
0
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Claims

Abstract

There is provided an information processing apparatus including an experience extracting unit extracting experience information indicating a user experience from text information, an action extracting unit extracting an action pattern from sensor information, a correspondence experience extracting unit extracting, based on relationship information indicating a correspondence relationship between the experience information and the action pattern, experience information corresponding to the action pattern extracted from the sensor information, and a display controlling unit displaying information related to the experience information extracted from the text information along with information related to the experience information corresponding to the action pattern.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . An information processing apparatus, comprising:
 circuitry configured to:   extract first experience information from text information input by a user to a social network service or an application software;   extract an action pattern from sensor information including position information obtained by a position sensor;   extract second experience information from relationship data between the first experience information and the action pattern extracted from the sensor information; and   cause a display to display first information related to the first experience information and second information related to the second experience information.   
     
     
         2 . The information processing apparatus according to  claim 1 , wherein the sensor information further includes time information. 
     
     
         3 . The information processing apparatus according to  claim 2 , wherein the circuitry is configured to store the sensor information and the time information corresponding to the sensor information. 
     
     
         4 . The information processing apparatus according to  claim 1 , wherein the text information is retrieved from sound information. 
     
     
         5 . The information processing apparatus according to  claim 1 , wherein the first experience information further includes a place of experience. 
     
     
         6 . The information processing apparatus according to  claim 1 , wherein the action pattern is determined based on learning models. 
     
     
         7 . The information processing apparatus according to  claim 1 , wherein the action pattern is determined based on rule base decision. 
     
     
         8 . The information processing apparatus according to  claim 1 , wherein the circuitry is configured to cause the display to display additional information. 
     
     
         9 . The information processing apparatus according to  claim 8 , wherein the additional information includes text data and image data. 
     
     
         10 . An information processing method, comprising:
 extracting, using circuitry, first experience information from text information input by a user to a social network service or an application software;   extracting, using the circuitry, an action pattern from sensor information including position information obtained by a position sensor;   extracting, using the circuitry, second experience information from relationship data between the first experience information and the action pattern extracted from the sensor information; and   causing a display to display first information related to the first experience information and second information related to the second experience information.   
     
     
         11 . A non-transitory computer readable medium including executable instructions, which when executed by a computer cause the computer to:
 extract first experience information from text information input by a user to a social network service or an application software;   extract an action pattern from sensor information including position information obtained by a position sensor;   extract second experience information from relationship data between the first experience information and the action pattern extracted from the sensor information; and   cause a display to display first information related to the first experience information and second information related to the second experience information.   
     
     
         12 . The non-transitory computer readable medium according to  claim 11 , wherein the sensor information further includes time information. 
     
     
         13 . The non-transitory computer readable medium according to  claim 12 , wherein the sensor information and the time information corresponding to the sensor information are stored in a memory. 
     
     
         14 . The non-transitory computer readable medium according to  claim 11 , wherein the text information is retrieved from sound information. 
     
     
         15 . The non-transitory computer readable medium according to  claim 11 , wherein the first experience information further includes a place of experience. 
     
     
         16 . The non-transitory computer readable medium according to  claim 11 , wherein the action pattern is determined based on learning models. 
     
     
         17 . The non-transitory computer readable medium according to  claim 11 , wherein the action pattern is determined based on rule base decision. 
     
     
         18 . The non-transitory computer readable medium according to  claim 11 , wherein the executable instructions, which when executed by the computer cause the computer to cause the display to display additional information. 
     
     
         19 . The non-transitory computer readable medium according to  claim 18 ,
 wherein the additional information includes text data and image data.

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