JP2009181476A - Situation estimation device and situation estimation program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a situation estimation device, for estimating a user's situation with high accuracy, and to provide a situation estimation program. <P>SOLUTION: In the situation estimation device, a model definition part 13 defines a situation transition model. A position information acquisition part 14 acquires current position information of a mobile communication terminal 100. A time information acquisition part 15 acquires time information showing a current time. A situation estimation part 16 estimates the user's current situation based on the situation transition model, the acquires position information and time information, and the user's situation before transition. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a situation estimation apparatus and a situation estimation program that estimate a situation representing a user's state.

2. Description of the Related Art Conventionally, various services are provided to a user based on the position and time at which the user is present. For example, Patent Document 1 discloses that based on the position of the user terminal acquired from the base station and the current time, the user is near his home in the evening, near his work place in the morning or noon, or in the evening or at night. Predict the situation of the user such as getting on the bus and moving to the vicinity of the house, and according to the prediction result, "Is this your home?" The station is Kyodai Station near the house. Please get off to the right. ”A system that displays a message such as“ on the user terminal ”is disclosed.
JP 2006-65870 A

However, when predicting a user situation based only on the current position and time of the user as in Patent Document 1, the prediction accuracy is limited. Therefore, the message displayed based on the prediction result with low accuracy must be in the form of a question, and the user cannot be healed by displaying an appropriate message.
The present invention has been made to solve the above-described problems of the prior art, and provides a situation estimation apparatus and a situation estimation program that can estimate a user's situation with high accuracy.

  In order to solve the above-mentioned problem, the invention according to claim 1 of the present invention is a situation estimation apparatus for estimating a situation representing a user's state, wherein the life cycle information representing a user's daily life cycle and the above-described life cycle information Model definition means for storing a situation transition model that defines the order of transition of the user's situations depending on position information representing the location of the user, position information acquisition means for acquiring the current position information, and current time Time information acquisition means for acquiring time information representing the position information acquired by the situation transition model, the position information acquisition means, the time information acquired by the time information acquisition means, and the situation before the user transition A situation that estimates the current situation of the user based on Providing situation estimation device characterized by comprising a tio emission estimating means.

  According to the present invention, the model defining means defines a situation transition in which a transition sequence of the user's situation depending on life cycle information representing a user's daily life cycle and position information representing a place where the user is present is defined. A model is stored, and the situation estimation means is based on the situation transition model, the position information acquired by the position information acquisition means, the time information acquired by the time information acquisition means, and the situation before the user transition. Therefore, in order to estimate the current situation of the user, compared to the case where the situation of the user is estimated based on the position and time as in the past, the situation estimation with higher accuracy considering the order of the situation transition is performed. Can be done.

The invention according to claim 2 is the situation estimation device according to claim 1, wherein the model defining means includes: a wake-up time, a bedtime, a start time, and an end time input by the user. The life cycle information is defined based on user set time information including information representing at least one.
According to the present invention, it is possible to define a situation transition model according to each user's life cycle, and it is possible to estimate the user's situation with high accuracy.

The invention according to claim 3 is the situation estimation device according to claim 1 or 2, further comprising area defining means for defining an area where the user stays according to the purpose in association with position information, The model defining means defines the position information in the situation transition model using the area.
According to the present invention, since the model defining means defines the position information in the situation transition model using the area, it is possible to estimate the user situation based on the area where the user stays according to the purpose. The situation estimation accuracy can be improved.

According to a fourth aspect of the present invention, in the situation estimation apparatus according to the third aspect, the area defining means is a home area that is a first place of residence of the user and a second place of residence of the user. At least one area of a temporary home area, a work area that is a first work place of the user, and a temporary work area that is a second work place of the user is defined.
According to the present invention, the situation estimation unit can determine whether the user is in a living place or a working place from the position information acquired by the position information acquisition unit, and improves situation estimation accuracy. be able to.

The invention described in claim 5 is the situation estimation device according to any one of claims 1 to 4, further comprising a user history log storage unit that stores a user history log representing a history of user behavior, The model defining means corrects the life cycle information based on a user history log stored in the user history log storage means.
According to the present invention, since the model definition unit corrects the life cycle information based on the user history log, it is possible to define a situation transition model based on accurate life cycle information, and to estimate the situation accuracy. Can be improved.

According to a sixth aspect of the present invention, in the situation estimation apparatus according to the fifth aspect, the model defining means may determine a bedtime period in which the number of times estimated as the past bedtime of the user is relatively high. When it is determined that a first predetermined trigger that can be estimated as a bedtime has occurred in the bedtime based on the user history log, the time when the first predetermined trigger has occurred is determined as the user. And the life cycle information is corrected using an average value of the estimated time and the past bedtime of the user.
According to the present invention, the model defining unit estimates the time when the first predetermined trigger occurs when the first predetermined trigger occurs during the bedtime as the latest bedtime of the user. Since the life cycle information is corrected using an average value of the estimated time when the user has gone to bed in the past, the user situation can be estimated with high accuracy based on the accurate user life cycle information. .

According to a seventh aspect of the present invention, in the situation estimation device according to the sixth aspect, when the model defining means determines that the first predetermined trigger has occurred outside the bedtime, the user is notified. It is characterized by inquiring the latest bedtime.
According to the present invention, when the first predetermined trigger occurs outside the bedtime, it is unlikely that the time when the first predetermined trigger occurs is the user's bedtime. By inquiring the user about the actual bedtime, the user's bedtime can be accurately grasped.

According to an eighth aspect of the present invention, in the situation estimation device according to any one of the fifth to seventh aspects, the model defining means is a time in which the number of times estimated as the user's previous wake-up time is relatively high. When a wake-up time zone, which is a belt, is calculated, and it is determined that a second predetermined trigger that can be estimated as a wake-up time has occurred in the wake-up time zone based on the user history log, the second predetermined trigger And the life cycle information is corrected using an average value of the estimated wake-up time and the past wake-up time of the user.
According to the present invention, when the model defining means determines that the second predetermined trigger has occurred in the wake-up time zone, the model defining means determines the time at which the second predetermined trigger has occurred as the latest wake-up time of the user. And the life cycle information is corrected by using the average time estimated as the user's previous wake-up time, so that the user situation is estimated with high accuracy based on the accurate user life cycle information. be able to.

According to a ninth aspect of the present invention, in the situation estimation device according to the eighth aspect, when the model defining means determines that the second predetermined trigger has occurred outside the wake-up time zone, It is characterized by inquiring the latest wake-up time.
According to the present invention, when the second predetermined trigger occurs outside the wake-up time zone, the time at which the second predetermined trigger occurs is unlikely to be the user's bedtime. By inquiring the actual wake-up time from the user, the user's wake-up time can be accurately grasped.

According to a tenth aspect of the present invention, in the situation estimation device according to any one of the first to ninth aspects, the situation estimation means estimates a plurality of situations and based on an answer to a question to the user. One is specified from the plurality of situations.
According to the present invention, since the situation estimation means identifies one of the plurality of situations based on an answer to the question to the user, the situation of the user can be accurately estimated.

The invention described in claim 11 is the situation estimation device according to any one of claims 3 to 10, wherein the area defining means is configured to allow the user to stay in an undefined area for a predetermined time or more. The undefined area is defined based on an answer to the question to the user.
According to the present invention, the area defining means can define an undefined area based on an answer to a question to the user, and estimates a user situation with high accuracy based on the defined area. Can do.

The invention described in claim 12 is the situation estimation device according to any one of claims 1 to 11, which is presented to the user based on the current situation of the user estimated by the situation estimation means. It is further characterized by further comprising a line deciding means for deciding the line for the line.
According to the present invention, since the speech determination means determines speech based on the current situation of the user estimated with high accuracy, it can present an appropriate speech to the user, as if watching the user. It is possible to provide the user with an impression that there is a person, and provide healing.

  The invention according to claim 13 defines the transition order of the situation representing the state of the user depending on the life cycle information representing the daily life cycle of the user and the position information representing the place where the user is located. Model definition means for storing the situation transition model, position information acquisition means for acquiring the current position information, time information acquisition means for acquiring time information representing the current time, the situation transition model, and the position information Based on the position information acquired by the acquisition means, the time information acquired by the time information acquisition means, and the situation before the transition of the user, to function as a situation estimation means for estimating the current situation of the user A situation estimation program is provided.

  According to the present invention, the model defining means defines a situation transition in which a transition sequence of the user's situation depending on life cycle information representing a user's daily life cycle and position information representing a place where the user is present is defined. A model is stored, and the situation estimation means is based on the situation transition model, the position information acquired by the position information acquisition means, the time information acquired by the time information acquisition means, and the situation before the user transition. Therefore, in order to estimate the current situation of the user, compared to the case where the situation of the user is estimated based on the position and time as in the past, the situation estimation with higher accuracy considering the order of the situation transition is performed. Can be done.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the drawings referred to in the following description, the same parts as those in the other drawings are denoted by the same reference numerals.
(overall structure)
FIG. 1 is a diagram showing an overall configuration of an agent system according to an embodiment of the present invention. As shown in the figure, the agent system is based on a foldable mobile communication terminal 100 carried by a user, a server 200 that manages an application program for downloading to the mobile communication terminal 100, and a GPS (Global Positioning System). And a position positioning device 300 that measures the position of the mobile communication terminal 100.

(Hardware configuration of mobile communication terminal)
FIG. 2 is a block diagram illustrating a hardware configuration of the mobile communication terminal 100. As shown in the figure, the mobile communication terminal 100 displays a CPU 101 that controls the whole, a storage device 102 that stores software such as programs and data, a communication interface 103 for performing wireless communication, and various screens. A display device 104, an input device 105 that outputs an input signal corresponding to an operation such as pressing a key or opening / closing a terminal, a sound output device 106 that outputs a sound such as a sound or a sound effect, and a user's voice are input. A voice input device 107 such as a microphone, an internal clock 108 for measuring the date and time, and a GPS receiver 109 for receiving GPS signals from the position positioning device 300 are provided.

The storage device 102 includes a ROM 121, a RAM 122, and a nonvolatile memory 123. The ROM 121 stores an operating system, software for executing an application program compliant with the Java (registered trademark) specification, and the like. The RAM 122 temporarily stores various programs and data.
The nonvolatile memory 123 is provided with an application storage area 123a and a scratch pad 123b. The application storage area 123a stores application programs downloaded from the server 200. Not only downloading but also the application program can be stored in the application storage area 123a from the time of manufacture of the mobile communication terminal 100. The scratch pad 123b stores data downloaded from the server 200 and data created by starting an application program or executing an application program. In the present embodiment, the scratch pad 123b stores calendar data for determining the day of the week, sound data for output from the sound output device 106, image data for display on the display device 104, and the like. The mobile communication terminal 100 may include an external storage device other than the scratch pad 123b as a memory for storing data.

(Functional configuration of mobile communication terminal)
Next, the functional configuration of the mobile communication terminal 100 will be described with reference to FIG. Note that the functional configuration shown in the figure is that the CPU 101 of the mobile communication terminal 100 executes processing according to a program stored in the ROM 121, the application storage area 123a, or the like, or the storage area such as the RAM 122, the scratch pad 123b, etc. Realized.

(Area definition part)
The area definition unit 11 defines an area where the user stays according to the purpose in association with the position information. In this embodiment, the area includes a home area (hereinafter referred to as “HA”), a temporary home area (hereinafter referred to as “temporary HA”), a work area (hereinafter referred to as “WA”), a temporary work area (hereinafter referred to as “temporary”). WA ”,“ favorite area ”, and“ specific area ”. Here, “HA” is a main place of residence of a user such as a home or a home. “Temporary HA” is a place where a user rarely goes to bed on a trip, business trip or the like, such as a friend's house or a hotel. “WA” is a user's main work place. “Temporary WA” is a place where a user rarely works for business, meetings, etc., such as a customer or event venue. The “favorite area” is an area set as a favorite place of the user. The “specific area” is an area set in order for the content provider to provide a service to the user in the area.

The area definition unit 11 defines an area name based on an input by the user from the input device 105. The area definition unit 11 stores the input area name in the scratch pad 123b in association with the position information of the mobile communication terminal 100.
In addition, the area definition unit 11 notifies the user of a question when the user stays in an undefined area for a predetermined time (for example, 1 hour) or more, and based on the answer to the question, the undefined area Define In addition, as a method of notifying a user of a question, a method of displaying the question content in characters on the display device 104 or a method of outputting the question content from the sound output device 106 by voice can be considered. In addition, as a method for a user to answer a question, a method of inputting answer contents from the input device 105 such as a key or a method of inputting voice from the voice input device 107 can be considered.

(User history log storage)
The user history log storage unit 12 stores a user history log representing a history of user behavior in the scratch pad 123b. FIG. 4 shows an example of the data structure of the user history log. As shown in the figure, the user history log includes date and time, weekday / holiday classification, location information, area type, situation, estimated wake-up time / estimated bedtime, displayed dialogue ID, answer to question, and terminal open / close Terminal operation logs such as time and key operation time are included. These user history logs include, for example, when an image including words is displayed on the display device 104, when a user answers a question, when positioning by GPS is performed, and when the user performs an operation of the mobile communication terminal 100. It is remembered when you go.

(Model definition part)
The model definition unit 13 defines a situation transition model and stores the defined situation transition model in the scratch pad 123b. Here, the “situation transition model” is a model that defines the transition order of the user's situation depending on the life cycle information representing the daily life cycle of the user and the position information representing the place where the user is present.
In addition, “life cycle information” refers to information representing a daily life cycle that is different for each user, such as the user's wake-up time, bedtime, start time, end time, wake-up time, and bedtime. The model definition unit 13 includes user-set time information indicating times such as wake-up time, bedtime, start time, and end time input by the user, and “wake-up time zone”, “sleep time”, and “wake-up time”. Life cycle information is defined by associating life cycle classification items such as “sleeping time”, “starting time”, and “working time”.

Further, the “situation” represents a situation or state where the user is placed. In the present embodiment, situations can be mainly classified into point situations (PS), line situations (LS), and special situations (SS).
The “point situation (PS)” is a situation that is estimated based on the life cycle information of the user and the area where the user is located, and is the starting point of the action. Point situations include getting up, starting work, starting work, ending work, returning home, going to bed, going out, and the like. A point situation automatically transitions to the associated line situation.

A “line situation (LS)” is a situation that connects two point situations, and there are during preparation, going to work, working, overtime, going home, going home, sleeping, going out, and the like.
A “special situation (SS)” is a situation that is neither a point situation nor a line situation, and in this embodiment, there is a situation called “being lost”. This is a situation when the current user situation is unknown, such as at the first activation or before the first acquisition of position information.

FIG. 5 shows an example of the situation transition model. In the figure, situations such as “sleeping”, “going out”, “getting up”, “medium condition” indicate life cycle information such as “before bedtime”, “before worktime”, and “HA”, The state of transition according to areas such as “WA” and “EX” is conceptually shown. Note that “EX” in the figure refers to an undefined area (except area) other than the defined area.
FIG. 6 shows an example when the situation transition model shown in FIG. 5 is expressed in a table format. In the table shown in the figure, the situation before the user transition, the area (HA, provisional HA, WA, provisional WA, EX), life cycle information (wake-up time zone, start time, work time, etc.), current Is associated with the situation.

  Further, in the columns (a) and (b) shown in FIG. 6, a situation transition order independent of position information (position-independent situation transition model) is defined. Specifically, in the column (a), the transition order of situations when the time during which user position information cannot be acquired is less than a certain time (for example, 2 hours) is defined. When the time during which the user's position information cannot be acquired is less than a predetermined time, the column (a) is referred to, and the current situation is determined depending only on the situation before the transition. On the other hand, in the column (b), the transition order of situations when the time during which the user's position information cannot be acquired continues for a certain time or more is defined. When the time during which the user's position information cannot be acquired continues for a certain time or longer, the column (b) is referred to, and the user's current situation is always estimated to be “lost” indicating that the situation is unknown. Note that the case where the position information cannot be acquired may be a case where the mobile communication terminal 100 cannot communicate with the position positioning device 300 because the mobile communication terminal 100 exists outside the service area. Further, the time during which the user position information cannot be acquired can be calculated by referring to the user history log, for example. In the columns (a) and (b) shown in FIG. 6, the situation transition order that does not depend on the life cycle information in addition to the position information is defined, but depends on the life cycle information and does not depend only on the position information. A situation transition order may be defined.

  FIG. 7 shows a general situation transition pattern on weekdays, and FIG. 8 shows a general situation transition pattern on holidays. As shown in these figures, since the situation transition pattern generally differs between weekdays and holidays, the model definition unit 13 defines two types of situation transition models for weekdays and holidays, Are stored in association with each other.

(Correction of life cycle information)
The life cycle information is defined based on user set time information input by the user. The life cycle represented by the life cycle information may be different from the actual life cycle due to a change in the life cycle of the user. For this reason, the model definition unit 13 has a function of correcting life cycle information based on the user history log stored in the user history log storage unit 12. Specifically, for example, the model definition unit 13 uses the average value of the past estimated bedtime of the user and the average value of the estimated previous wake-up time, and the bedtime, wake-up time, and bedtime included in the life cycle information. Correct the belt, wake-up time, etc.

The average value μs and the standard deviation σ of the estimated bedtime are calculated by the following equations.
Average value μs = Σxi / N (N: total number of past estimated bedtime data, xi: data value)
Standard deviation σ = (Σ (xi−μs) ² / (N−1)) ^1/2
Similarly, the average value μw and the standard deviation σ of the estimated wake-up time are calculated by the following equations.
Average value μw = Σxi / N (N: total number of past estimated wake-up times, xi: data value)
Standard deviation σ = (Σ (xi−μw) ² / (N−1)) ^1/2
The model definition unit 13 estimates the latest bedtime and wake-up time at a predetermined timing every day, and records the estimated bedtime and estimated wake-up time as a user history log. FIG. 9 is a graph showing the number of times that each time was estimated as a bedtime / wake-up time in the past.

  Here, a method for estimating the latest bedtime will be described in detail. The model definition unit 13 refers to the user history log at a predetermined timing every day. For example, in the HA or temporary HA, the time when the operation such as the key operation and the opening / closing operation of the mobile communication terminal 100 last occurred (hereinafter referred to as “the first number”). 1) is used to estimate the latest bedtime. The model definition unit 13 estimates the bedtime by dividing the calculation logic into three types as shown in FIG. 9 according to the time zone when the first predetermined trigger occurs.

  Logic1: A bedtime estimation logic when a first predetermined trigger occurs in a time zone before (μs−σ). Since there are few history logs of estimated bedtime in this time zone, the model definition unit 13 inquires the user about the latest bedtime of the user when a wake-up situation occurs in order to increase the certainty of estimation of the bedtime. . If there is an answer, the time of the answer is estimated as the bedtime. When there is no answer or when a wake-up situation has not occurred, the bedtime set by the user-set time information is estimated as the latest bedtime.

  Logic 2: Bedtime estimation logic when a first predetermined trigger occurs in the bedtime (μs ± σ time zone) including the average value of the estimated bedtime of the user. However, when the number of data of the estimated bedtime is 10 or less, 1 hour before and after the bedtime set by the user setting time information is set as the bedtime. When the first predetermined trigger occurs during this bedtime, that time is set as the bedtime.

  Logic3: Bedtime estimation logic when the first predetermined trigger occurs in the time zone after (μs + σ). Since there are few history logs of the estimated bedtime in this time zone, the model definition unit 13 inquires of the user about the latest bedtime when the wake-up situation occurs in order to increase the certainty of the estimation of the bedtime. If there is an answer, the time of the answer is estimated as the bedtime. When there is no answer, or when a wake-up situation has not occurred, the bedtime set by the user-set time information is estimated as the bedtime.

  Next, a method for estimating the wake-up time will be described in detail. The model definition unit 13 refers to the user history log at a predetermined timing every day. For example, the time when the operation of the mobile communication terminal 100 was first performed after going to bed in HA or temporary HA or the time when the user moved out of the HA (hereinafter referred to as “HA”) , “The time when the second predetermined trigger occurs”) is used to estimate the latest wake-up time. The model definition unit 13 estimates the wake-up time by dividing the logic into three types as shown in FIG. 9 according to the time zone when the second predetermined trigger occurs.

  Logic3: Wake-up time estimation logic when a second predetermined trigger occurs in a time zone before (μw−σ). Since there are few history logs of the estimated wake-up time in this time zone, in order to increase the certainty of the estimation of the bedtime, the user is inquired of the latest wake-up time at the timing when the wake-up situation occurs, for example. If there is an answer, the time of the answer is estimated as the wake-up time. When there is no answer, or when no wake-up situation has occurred, the wake-up time set by the user is estimated as the wake-up time.

Logic 4: Wake-up time estimation logic when a second predetermined trigger occurs in the wake-up time zone (μw ± σ time zone) including the average value of the user wake-up time. However, when the number of data of the estimated wake-up time is 10 or less, the wake-up time zone is set to 1 hour before and after the wake-up time set by the user set time information. When the second predetermined trigger occurs in this wake-up time zone, the time is estimated as the wake-up time.
Logic 5: Wake-up time estimation logic when a second predetermined trigger occurs in a time zone after (μw + σ). On weekdays, the time when the second predetermined opportunity occurs is set as the wake-up time. On holidays, when the second predetermined opportunity occurs, the user is inquired about the wake-up time.

(Location information acquisition unit)
The location information acquisition unit 14 acquires location information of the mobile communication terminal 100 carried by the user as the location information of the user. In the present embodiment, the position information acquisition unit 14 is based on the GPS signal received from the position positioning device 300 by the GPS receiver 109 mounted on the mobile communication terminal 100 at predetermined intervals. Calculate location information. The predetermined period for receiving the GPS signal varies depending on the area where the user is staying. For example, when the user stays at the HA, the cycle is 30 minutes, and when the user stays at the WA, the cycle is 15 minutes. In addition, the acquisition method of position information is not limited to GPS, for example, the position information of the base station where mobile communication terminal 100 is located may be regarded as the position information of the user.

(Time information acquisition unit)
The time information acquisition unit 15 acquires time information representing the current time from the internal clock 108 provided in the mobile communication terminal 100. Note that the time information acquisition method is not limited to this, and for example, the time information can be acquired from an external server device.
(Situation estimation unit)
The situation estimation unit 16 includes a situation transition model defined by the model definition unit 13, position information acquired by the position information acquisition unit 14, time information acquired by the time information acquisition unit 15, and before the user transition. Estimate the user's current situation based on the situation.

  Specifically, the situation estimation unit 16 determines which classification item (wake-up time zone, start-up time) of the user's life cycle is the current time represented by the time information acquired by the time information acquisition unit 15 based on the life cycle information. Time, working time, etc.). The situation estimation unit 16 determines an area corresponding to the position information acquired by the position information acquisition unit 14. When a plurality of areas corresponding to the position information are determined, for example, the priority order is set in advance in the order of HA> WA> favorite area> temporary HA> temporary WA> specific area. Identify one high area.

  Furthermore, the situation estimation unit 16 acquires the latest situation, that is, the situation before the transition, from the user history log. Then, the situation estimation unit 16 acquires the current situation corresponding to the determined life cycle classification item, the determined area, and the acquired situation before the transition from the situation transition model, and acquires the acquired current situation. Is the current situation of the user. The estimated situation is stored in the user history log and used for the next situation estimation.

(Estimated by weekdays and holidays)
In addition, the situation estimation unit 16 estimates the current situation of the user by properly using two kinds of situation transition models depending on whether today corresponds to a weekday or a holiday for the user. For example, when the application program is started, default holiday data as shown in FIG. 10 is stored in the scratch pad 123b. The situation estimation unit 16 determines whether the user corresponds to a weekday or a holiday based on the weekday holiday data. The default holiday data can be changed by user input. In addition to using the weekday data, it may be determined for the user whether today is a weekday or a holiday based on the “weekday / holiday classification” recorded in the most recent user history log. Is possible.

(Estimation based on answers to questions)
Moreover, the situation estimation part 16 estimates a user's present situation based on the answer with respect to the question to a user.
For example, the situation estimation unit 16 estimates a plurality of situation candidates, and identifies one user situation candidate based on an answer to a question to the user.
(Replacement of weekdays based on answers to questions)
In addition, the situation estimation unit 16 determines which of the situation transition models for weekdays and holidays is to be used based on the answer to the question to the user, and uses the determined situation transition model to determine the current state of the user. Estimate the situation.
At this time, the situation estimation unit 16 includes at least one of the type of the situation transition model currently used, the position information acquired by the position information acquisition unit 15, and the time information acquired by the time information acquisition unit 15. The content of the question to the user is determined based on the one.

  Specifically, when the situation estimation unit 16 uses the holiday situation transition model and the user stays in the WA or the temporary WA for a predetermined time or longer, the situation estimation unit 16 uses the WA and the holiday situation transition model in the holiday situation transition model. Temporary WA is not defined, so the user is informed of whether he / she is working or not, and when there is an answer to the question that he / she is working, the situation transition model to be used is for holidays Switch from weekdays to weekdays. In addition, when the situation estimation unit 16 uses the weekday situation transition model and the user stays in the HA or the temporary HA for a predetermined time or more, the situation estimation unit 16 asks the user whether it is a holiday. And the situation transition model to be used is switched from for weekdays to for holidays.

  Here, a specific example of replacement of weekdays will be described with reference to FIG. When the situation before the transition is “going out” on a holiday and the user stays in the WA for a predetermined time or more, the situation estimation unit 16 notifies the user of the question “Today is work?”. If the user's answer is “work”, the situation estimation unit 16 switches the situation transition model to be used from a holiday to a weekday. Then, the user situation transitions to “working” on weekdays. On the other hand, if the user's answer is “rest” or no answer, the situation transition model to be used remains for holidays, and the user situation transits to “out of office” on holidays.

  Also, as shown in FIG. 12, when the situation before the user transition is “medium condition” on weekdays, and the user is in HA or temporary HA and the start time of the work has passed, the situation estimation unit 16 The user is informed of the question “Is work? When the user's answer to the question is “vacation”, the situation estimation unit 16 switches the situation transition model to be used from weekdays to holidays. Then, the user situation changes to “at home” on a holiday. When the user is in EX and the start time has passed and the answer to the user's question is “vacation”, the situation estimation unit 16 switches the situation transition model to be used from weekdays to holidays. . Then, the user situation transitions to “going out” on a holiday.

  As shown in FIG. 13, when the situation before the user transition is “at home” on a holiday and the user stays in the WA or the temporary WA for a predetermined time or longer, the situation estimation unit 16 "?" When the user answer is “work”, the situation estimation unit 16 switches the situation transition model to be used from a holiday to a weekday. Then, the user situation shifts to “working” on weekdays.

  In addition, when the situation estimation unit 16 uses the situation transition model for weekdays, when the user moves to the EX that is more than the first distance (for example, 500 m) from the HA or the temporary HA, It is determined that the trip has started. Further, when the situation estimation unit 16 uses the holiday situation transition model, when the user moves to the EX that is more than the second distance (for example, 300 m) from the WA or the temporary WA, It is determined that the business trip has started.

(Serif decision section)
The serif determination unit 17 determines an appropriate serif to be presented to the user by voice or an image based on the user situation estimated by the situation estimation unit 16. As a method for determining a serif, for example, the serif determination unit 17 determines a serif corresponding to an estimated user situation by referring to information that defines a correspondence relationship between a preset situation and a serif. .

(Situation estimation program)
As described above, the program stored in the ROM 121 and the application program stored in the application storage area 123a (corresponding to “situation estimation program”) are stored in the mobile communication terminal (corresponding to “computer”) 100 to the user. A model definition unit 11 for storing a situation transition model that defines a transition order of situations representing the state of the user depending on life cycle information representing a life cycle of a day and position information representing a place where the user is present; The position information acquisition unit 14 that acquires position information, the time information acquisition unit 15 that acquires time information representing the current time, the position information and time information acquisition unit 15 acquired by the situation transition model and the position information acquisition unit 14 The time information acquired by the user and the situation before the user transition Is a program for functioning as a situation estimating unit 16 for estimating the current situation of the user based on the Shon.

(Operation)
Next, a basic flow of situation estimation processing according to the embodiment of the present invention will be described with reference to the flowchart shown in FIG.
First, the user operates the mobile communication terminal 100 to give an instruction to download an application program from the server 200. As a result, the mobile communication terminal 100 downloads the application program and accompanying data from the server 200, stores the application program in the application storage area 123a, and stores the data in the scratch pad 123b.

  Next, the user performs an operation of starting the application program. Accordingly, the mobile communication terminal 100 displays an initial setting screen on the display device 104 by executing processing according to the application program. The user inputs initial setting items interactively from the initial setting screen. Initial setting items include user name, birthday, wake-up time, bedtime, start time, work time, etc., user set time information, weekday classification by day of the week, HA, WA, favorite area, etc. There is an area name.

  The mobile communication terminal 100 performs initial setting based on the input data (step S1). Specifically, the mobile communication terminal 100 stores the input data in the scratch pad 123b. The area definition unit 11 defines an area by associating the input area name such as HA and WA with the position information when the area name is input, and stores the area in the scratch pad 123b. Moreover, the model definition part 13 defines life cycle information based on the input user setting time information. And the model definition part 13 defines the transition order of the user's situation depending on the defined life cycle information and the area, and stores it in the scratch pad 123b as the situation transition model.

The situation estimation unit 16 initializes the situation. In the present embodiment, when one or more HA and WA are input by the user, the situation is initially set to “being lost”.
Next, the position information acquisition unit 14 acquires the position information of the mobile communication terminal 100 by receiving GPS signals from the position positioning device 300 at predetermined intervals (step S2). Next, the time information acquisition unit 15 acquires time information from the internal clock 108 (step S3).

Next, the situation estimation unit 16 acquires the situation before the user transition from the latest user history log. Then, the situation estimation unit 16 is based on the situation transition model, the position information acquired by the position information acquisition unit 14, the time information acquired by the time information acquisition unit 15, and the situation before the user transition. The user's current situation is estimated (step S4).
Next, the speech determination unit 17 determines speech that matches the estimated current situation, and outputs an image on which the determined speech is displayed to the display device 104 or outputs sound from the sound output device 106. Output (step S5).

  As described above, the mobile communication terminal 100 defines a situation transition model that defines the transition order of the user's situation depending on the life cycle information that represents the daily life cycle of the user and the position information that represents the place where the user is present. The current state of the user is stored based on the situation transition model, the position information acquired by the position information acquisition unit 14, the time information acquired by the time information acquisition unit 15, and the situation before the user transition. Since the situation is estimated, it is possible to perform the situation estimation with high accuracy in consideration of the order of the situation transition as compared with the case where the user situation is estimated based on the position and the time as in the prior art.

Further, the mobile communication terminal 100 has a function of defining a life cycle and an area corresponding to each user, a function of correcting life cycle information, and a function of estimating a situation based on an answer by a question. Can be estimated with high accuracy. In addition, since the mobile communication terminal 100 presents the user with an appropriate line according to the estimated user situation, the mobile communication terminal 100 can provide the user with an impression that there is a person watching the user and provide healing. It becomes possible.
In the above-described embodiment, the mobile communication terminal 100 has been described as having each function illustrated in FIG. 3, but the present invention is not limited to this, and the server 200 has each function illustrated in FIG. 3. Alternatively, a plurality of devices may have the functions shown in FIG.

  The present invention can provide various services suitable for a user's current situation by estimating the user's current situation only by carrying the user terminal.

It is a figure which shows the whole structure of the agent system which concerns on embodiment of this invention. It is a block diagram which shows the hardware constitutions of the mobile communication terminal which concerns on the same embodiment. It is a block diagram which shows the function structure of the mobile communication terminal which concerns on the same embodiment. It is a figure showing an example of data composition of a user history log concerning the embodiment. It is a figure which shows an example of the situation transition model which concerns on the embodiment. It is a figure which shows an example at the time of expressing the situation transition model shown in FIG. 5 in a table format. It is a figure which shows an example of the transition pattern of the weekday situation which concerns on the embodiment. It is a figure which shows an example of the transition pattern of the holiday situation which concerns on the embodiment. It is an example of the graph used for estimation of bedtime and wake-up time concerning the embodiment. It is a figure which shows an example of the default weekday holiday data concerning the embodiment. It is a figure which shows the situation of the transition destination according to the user's answer with respect to the question which concerns on the embodiment, and an area. It is a figure which shows the situation of the transition destination according to the user's answer with respect to the question which concerns on the embodiment, and an area. It is a figure which shows the situation of the transition destination according to the user's answer with respect to the question which concerns on the embodiment, and an area. It is a flowchart which shows the flow of the process of the situation estimation which concerns on the embodiment.

Explanation of symbols

DESCRIPTION OF SYMBOLS 100 Mobile communication terminal 11 Area definition part 12 User history log storage part 13 Model definition part 14 Position information acquisition part 15 Time information acquisition part 16 Situation estimation part 17 Serif determination part 102 Storage apparatus 103 Communication interface 104 Display apparatus 105 Input apparatus 106 Sound Output device 107 Input device 108 Internal clock 109 GPS receiver 123 Non-volatile memory 123a Application storage area 123b Scratch pad 200 Server 300 Positioning device

Claims (13)

A situation estimation device for estimating a situation representing a user state,
Model definition means for storing a situation transition model that defines a transition order of the user's situations depending on life cycle information that represents a user's daily life cycle and position information that represents a place where the user is located;
Position information acquisition means for acquiring the current position information;
Time information acquisition means for acquiring time information representing the current time;
Based on the situation transition model, the position information acquired by the position information acquisition means, the time information acquired by the time information acquisition means, and the situation before the user transition, the current situation of the user is estimated. A situation estimation device comprising: a situation estimation means.   The model defining means is configured to provide the life cycle information based on user set time information including information representing at least one of a wake-up time, a bedtime, a start work time, and an end work time input by the user. The situation estimation apparatus according to claim 1, wherein: An area defining means for defining an area where the user stays according to the purpose in association with position information;
The situation estimation apparatus according to claim 1, wherein the model definition unit defines position information in the situation transition model using the area.   The area defining means includes a home area that is a first place of residence of the user, a temporary home area that is a second place of residence of the user, a work area that is a first work place of the user, The situation estimation apparatus according to claim 3, wherein at least one area of a temporary work area which is a user's second work place is defined. A user history log storage means for storing a user history log representing a history of user behavior;
The situation estimation according to any one of claims 1 to 4, wherein the model definition unit corrects the life cycle information based on a user history log stored in the user history log storage unit. apparatus.   The model defining means calculates a bedtime that is a time zone in which the number of times estimated as the user's past bedtime is relatively high, and can be estimated as a bedtime based on the user history log. When it is determined that the occurrence of the first occurrence occurred at the bedtime, the time when the first predetermined occurrence occurred is estimated as the latest bedtime of the user, and the previous bedtime of the user is estimated. The situation estimation apparatus according to claim 5, wherein the life cycle information is corrected using an average value of time.   The situation estimation apparatus according to claim 6, wherein the model defining unit inquires the user of the latest bedtime when determining that the first predetermined trigger has occurred outside the bedtime. .   The model defining means calculates a wake-up time zone that is a time zone in which the number of times estimated as the user's previous wake-up time is relatively high, and is based on the user history log, a second predetermined time that can be estimated as the wake-up time. When it is determined that the occurrence of the second occurrence occurred in the wake-up time zone, the time when the second predetermined occurrence occurred is estimated as the latest wake-up time of the user, and the previous wake-up time of the user is estimated. The situation estimation apparatus according to claim 5, wherein the life cycle information is corrected using an average value of time.   9. The situation estimation apparatus according to claim 8, wherein the model defining means inquires the user about the latest wake-up time when determining that the second predetermined trigger has occurred outside the wake-up time zone. .   The situation estimation unit estimates a plurality of situations, and identifies one of the plurality of situations based on an answer to a question to the user. The situation estimation apparatus described.   The area defining means defines the undefined area based on an answer to a question to the user when the user stays in an undefined area for a predetermined time or more. The situation estimation device according to any one of 3 to 10.   12. The system according to claim 1, further comprising: a serif determination unit that determines a serif to be presented to the user based on the current situation of the user estimated by the situation estimation unit. The situation estimation device according to claim 1. Computer
Model definition means for storing a situation transition model that defines a transition order of situations that represent the state of the user depending on life cycle information that represents a life cycle of the user and position information that represents a location where the user is present;
Position information acquisition means for acquiring the current position information;
Time information acquisition means for acquiring time information representing the current time;
Based on the situation transition model, the position information acquired by the position information acquisition means, the time information acquired by the time information acquisition means, and the situation before the user transition, the current situation of the user is estimated. A situation estimation program for functioning as a situation estimation means.

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