Abstract: A server includes a first statistic processor configured to calculate, for each of different types of screens displayed on a display; a first statistic value of display time of a screen of each type display on the display, to generate first statistic values corresponding to the different types of screens; a first determiner configured to determine, for each type of the screens, whether a user is concentrating on a screen of each type, based on, from among the first statistic values, a first statistic value calculated for the screen of each type; and a generator configured to generate a list including screen identification information for identifying, from among the different types of screens, a type of screen for which a corresponding determination result from the first determiner is affirmative.

Abstract: An information generation apparatus includes a feature information generator that generates feature information on transition to a first screen based on a log including a transition timepoint and identification information, the transition timepoint being a timepoint when a foreground screen transitioned from a second screen to the first screen among a plurality of screens displayed by a plurality of program modules that differ from each other, and the identification information identifying from among the program modules a first program module for displaying the first screen, an index value generator that generates an index value indicative of a degree to which the first screen draws attention from a user based on the feature information, and a determiner that determines based on the index value whether to use the identification information that identifies the first program module in a process of estimating the state of the user.

Abstract: A feature extraction device is a device that extracts a feature quantity to be input to a state estimation model for estimating a state related to a terminal where the activity is executed or a user of the terminal, which includes an acquisition unit that acquires activity history information indicating an execution history of the activity in a specified period of time and including time-series activity logs, an extraction unit that extracts co-occurrence relationship information indicating a co-occurrence relationship of activities in a specified period of time based on the activity history information, a generation unit that aggregates activity feature quantities indicating a feature of each activity based on the co-occurrence relationship information and generates an activity history feature quantity indicating a feature of the activity history information, and an output unit that outputs the activity history feature quantity as a feature quantity to be input to the state estimation model.

Abstract: A determination device 1 includes: a history storage unit 101 configured to accumulate and store use history information in which application identification information, position information indicating a position of a user, and user identification information are correlated with each other; a use region UU number totaling unit 105 configured to total a UU number for each of a plurality of regions on the basis of the use history information for a specific application; a use region number totaling unit 106 configured to total the number of regions on the basis of the use history information for the specific application; a score calculating unit 107 configured to calculate a regionality score for each of the plurality of regions on the basis of the UU number and the number of regions for the specific application; and a determination unit 108 configured to determine whether there is regionality for the specific application on the basis of the regionality score.

Abstract: An information generation apparatus includes a feature information generator that generates feature information on transition to a first screen based on a log including a transition timepoint and identification information, the transition timepoint being a timepoint when a foreground screen transitioned from a second screen to the first screen among a plurality of screens displayed by a plurality of program modules that differ from each other, and the identification information identifying from among the program modules a first program module for displaying the first screen, an index value generator that generates an index value indicative of a degree to which the first screen draws attention from a user based on the feature information, and a determiner that determines based on the index value whether to use the identification information that identifies the first program module in a process of estimating the state of the user.

Abstract: A feature extraction device is a device that extracts a feature quantity to be input to a state estimation model for estimating a state related to a terminal where the activity is executed or a user of the terminal, which includes an acquisition unit that acquires activity history information indicating an execution history of the activity in a specified period of time and including time-series activity logs, an extraction unit that extracts co-occurrence relationship information indicating a co-occurrence relationship of activities in a specified period of time based on the activity history information, a generation unit that aggregates activity feature quantities indicating a feature of each activity based on the co-occurrence relationship information and generates an activity history feature quantity indicating a feature of the activity history information, and an output unit that outputs the activity history feature quantity as a feature quantity to be input to the state estimation model.

Abstract: A stress estimation system which estimates stress of a user includes a walking speed acquisition unit configured to acquire walking speed information indicating walking speeds of a user in each of the morning and the afternoon at a preset place, an estimation unit configured to calculate a comparison value between the walking speeds in each of the morning and the afternoon indicated by the acquired walking speed information, and to estimate stress of the user based on the calculated comparison value, and an output unit configured to output information in accordance with the estimated stress of the user.

Abstract: An object is to provide an information processing device capable of reducing power consumption for acquiring sensor values and preventing a loss of an important sensor value. A power saving model server (100) is an information processing device for controlling a plurality of sensors (acceleration sensor 201, etc.) that respectively detect a plurality of terminal states. The power saving model server (100) includes a sensor control unit (104) that stops an operation related to one or a plurality of sensors among the plurality of sensors on the basis of the plurality of terminal states.

Abstract: A server includes a first statistic processor configured to calculate, for each of different types of screens displayed on a display; a first statistic value of display time of a screen of each type display on the display, to generate first statistic values corresponding to the different types of screens; a first determiner configured to determine, for each type of the screens, whether a user is concentrating on a screen of each type, based on, from among the first statistic values, a first statistic value calculated for the screen of each type; and a generator configured to generate a list including screen identification information for identifying, from among the different types of screens, a type of screen for which a corresponding determination result from the first determiner is affirmative.

Abstract: An object is to provide an information processing device capable of reasonably presenting grounds of an estimation result using a state estimation model.

Abstract: An information processing apparatus includes a log acquirer, a first estimation model, a finder and a hint display controller. The log acquirer acquires a log at occurrence of a predetermined event. The log includes one or both of a user's input operation history and an application history. The first estimation model calculates, based on the input log, a first evaluation value for each of a plurality of hint items that are obtained by separating a plurality of hints into categories. Each of the plurality of hints is prepared as a usage hint for the user. The first evaluation value represents likelihood of each of the plurality of hint items is a hint item that includes a hint sought by the user. The finder finds, from among the plurality of hint items, one or more hint items, in each of which the first evaluation value is a first predetermined value or greater.

Abstract: An information processing apparatus includes a log acquirer, a first estimation model, a finder and a hint display controller. The log acquirer acquires a log at occurrence of a predetermined event. The log includes one or both of a user's input operation history and an application history. The first estimation model calculates, based on the input log, a first evaluation value for each of a plurality of hint items that are obtained by separating a plurality of hints into categories. Each of the plurality of hints is prepared as a usage hint for the user. The first evaluation value represents likelihood of each of the plurality of hint items is a hint item that includes a hint sought by the user. The finder finds, from among the plurality of hint items, one or more hint items, in each of which the first evaluation value is a first predetermined value or greater.

Abstract: A prediction interpretation apparatus, comprising: a data storage unit configured to store data of a plurality of users; a model storage unit configured to store a prediction model learned from data of the whole of the plurality of users; a vicinity user search unit configured to extract vicinity users for the target user from the data storage unit; a linear regression model learning unit configured to learn a linear regression model approximated to the prediction model for the vicinity users; and an interpretation result output unit configured to output an interpretation result of prediction for the target user based on a partial regression coefficient of the linear regression model, wherein the vicinity user search unit extracts the vicinity user by narrowing vicinity user candidates extracted based on distance between users based on a prediction direction of the target user by the prediction model.

Abstract: An application usage estimation device includes: a rule DB serving as a rule holding unit configured to hold an application usage estimation rule for estimating, based on location information, whether a specific application is used; and an application usage estimation unit configured to acquire the location information from a user terminal and to estimate, based on the application usage estimation rule held in the rule DB, whether the specific application is used in the user terminal.

Abstract: A determination device 1 includes: a history storage unit 101 configured to accumulate and store use history information in which application identification information, position information indicating a position of a user, and user identification information are correlated with each other; a use region UU number totaling unit 105 configured to total a UU number for each of a plurality of regions on the basis of the use history information for a specific application; a use region number totaling unit 106 configured to total the number of regions on the basis of the use history information for the specific application; a score calculating unit 107 configured to calculate a regionality score for each of the plurality of regions on the basis of the UU number and the number of regions for the specific application; and a determination unit 108 configured to determine whether there is regionality for the specific application on the basis of the regionality score.

Abstract: A content evaluation device includes a usage trend storage unit that stores, for each user, trend information indicating a usage trend in each time period and for each content type, a score calculation unit that calculates a recommendation score for each content, a classification unit that clusters a group of users having similar trend information on the basis of the trend information of each user, a derivation unit that derives overall trend information from the trend information of affiliated users belonging to the clustered group of users, a score adjustment unit that adjusts the recommendation score of each content in reflection of the overall trend information in a target time period to a recommendation score for each content, and a determination unit that determines content to recommend to the target user in the target time period on the basis of the adjusted recommendation score of each content.

Abstract: An aloneness estimation device estimating whether a user acts alone includes an operation state information acquisition unit configured to acquire operation state information indicating the user's operation state of a terminal per position, a criteria setting unit configured to set criteria for use in estimation in accordance with a position related to the acquired operation state information, an estimation unit configured to estimate whether the user acts alone from the operation state information acquired by the operation state information acquisition unit based on the set criteria, and an output unit configured to output information in accordance with estimation.

Abstract: A stress estimation system which estimates stress of a user includes a walking speed acquisition unit configured to acquire walking speed information indicating walking speeds of a user in each of the morning and the afternoon at a preset place, an estimation unit configured to calculate a comparison value between the walking speeds in each of the morning and the afternoon indicated by the acquired walking speed information, and to estimate stress of the user based on the calculated comparison value, and an output unit configured to output information in accordance with the estimated stress of the user.

Abstract: An aloneness estimation device estimating whether a user acts alone includes an operation state information acquisition unit configured to acquire operation state information indicating the user's operation state of a terminal per position, a criteria setting unit configured to set criteria for use in estimation in accordance with a position related to the acquired operation state information, an estimation unit configured to estimate whether the user acts alone from the operation state information acquired by the operation state information acquisition unit based on the set criteria, and an output unit configured to output information in accordance with estimation.

Abstract: An application usage estimation device includes: a rule DB serving as a rule holding unit configured to hold an application usage estimation rule for estimating, based on location information, whether a specific application is used; and an application usage estimation unit configured to acquire the location information from a user terminal and to estimate, based on the application usage estimation rule held in the rule DB, whether the specific application is used in the user terminal.