JP2015069309A - Information terminal device and scheduling method and program therefore - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information terminal device and a scheduling method and program therefor which are capable of planning a schedule for a repeatable event, proposing and recommending it as an execution candidate date, and further making reservation automatically.SOLUTION: In an electronic calendar unit 1, a calendar UI provides a calendar function and a user interface function for accepting the input, deletion, editing, etc., of a schedule to the calendar function by a user operation. History information and reservation information for each of events to be scheduled are accumulated in an event DB unit. An execution day and time of each event is registered in event history information as a record-of-performance value about the event. An event interval totalizing unit 2 totalizes the history information pertaining to the execution day and time for each event and estimates event interval distribution. An event occurrence condition totalizing unit 3 estimates event occurrence distribution for each of various explanatory variables such as a day of the week and a months day.

Description

  The present invention relates to an information terminal device and a scheduling method and program thereof, and in particular, proposes a schedule for an event that is repeatable but weak in periodicity and has a relatively high degree of freedom in the implementation period, and is proposed as an implementation candidate date. The present invention also relates to an information terminal device capable of making a recommendation and automatic reservation, and a scheduling method and program thereof.

  The information processing capabilities of mobile terminals such as smartphones and tablet terminals have improved, and users can be supported in various scenes of their lives. It is also possible to manage an individual schedule by a calendar stored on a mobile terminal or a network. Events can be registered in the electronic calendar by specifying the date, time or time. Furthermore, location and remarks can be registered, alarm settings and repeated settings can be made as incidental information of events.

  In Patent Document 1, in order to schedule a meeting in which a plurality of people participate from a plurality of bases, a common vacant time is extracted from a plurality of prospective participants and a calendar of the meeting room, and the meeting holding time and the meeting room are extracted. A system for automatically determining is disclosed.

  Japanese Patent Application Laid-Open No. 2004-228561 has a method for easily registering a new event by displaying a calendar of a plurality of regions in parallel with a time of a certain region as a reference in order to perform scheduling such as a meeting by connecting a plurality of regions having a time difference. It is disclosed.

  In Patent Document 3, an evaluation function is prepared for each event that is registered in the calendar and for which a user requests a remind notification, and the notification period and time / location / object are arguments for each event, and evaluation is performed within the notification period. A method for determining the timing of remind notification by threshold processing for function output is disclosed.

  Non-Patent Document 1 discloses a method for recommending an application of a mobile terminal according to the time, position, and application used immediately before.

  In Non-Patent Document 2, in order to spend traveling time such as commuting to and from multimedia content effectively, the user's context is recognized based on information from the acceleration sensor and GPS, and the distance to the timetable and destination A method for predicting the duration of a context from the schedule and scheduling the playback order of multimedia contents suitable for the predicted situation is disclosed.

JP 2012-174194 JP 2008-187388 JP 2008-290163 A

Mitsuhiro Matsumoto, Ryozo Kiyohara, Masayuki Numao, Satoshi Kurihara “Proposal of Application Recommendation Method Using User Operation Patterns on Mobile Phones” DICOMO 2009, (2009/7) Tomohiro Nishikawa, Idai Mashita, Takeshi Ogawa, Kiyoshi Kiyokawa, Haruo Takemura "Dynamic playback control of multimedia contents based on context recognition and schedule prediction in mobile environment" IEICE Transactions Vol.J94-D No.1 pp.147-158, (2011/1)

  Technologies for electronic calendars include a method that automatically schedules events involving multiple people, a method that makes scheduling easier by hand, a method that reminds you when an event approaches, and an application or content that suits the situation A method of recommending the above has been proposed.

  However, a method for proposing scheduling itself to a user has not been proposed so far. It is difficult for the user to propose the first or second event from the system. However, it is considered that repetitive events that are repeatedly scheduled can be estimated with a certain degree of accuracy. For example, haircut, going to hospital, shopping, lessons, training. These events are not completely fixed, but are often scheduled at a reference interval. Scheduling constraints are often limited to weekdays, weekends, or specific days of the week.

  The object of the present invention is to solve the problems of the prior art, to create a schedule of events that have repetitiveness but low periodicity and a relatively high degree of freedom in the implementation period, and propose, recommend, and even automatically as implementation candidate dates It is an object of the present invention to provide an information terminal device that can be reserved and a scheduling method and program thereof.

  In order to achieve the above object, the present invention is characterized in that an information terminal device for scheduling a repetitive event has the following configuration.

  (1) Interval aggregation means for obtaining an interval distribution based on event history information, occurrence condition aggregation means for setting an event occurrence probability distribution for each predetermined explanatory variable, and the next time based on the interval distribution and occurrence probability distribution Scheduling means for scheduling events.

  (2) The occurrence condition aggregation means sets an occurrence probability distribution with day of week as an explanatory variable based on event history information.

  (3) The occurrence condition analysis means sets the occurrence probability distribution with the age day as the explanatory variable based on the history information of the event.

  (4) The occurrence condition analysis means sets the occurrence probability distribution with business days related to the event as explanatory variables.

  (5) The occurrence condition aggregation means sets the occurrence probability distribution with the idle time of the user's schedule as an explanatory variable.

  (6) The scheduling means outputs the scheduling result to the user and / or reserves the next and subsequent events based on the scheduling result.

  According to the present invention, the following effects are achieved.

  (1) Although it is repetitive, the periodicity of the event is weak and the degree of freedom of the execution cycle is relatively high. Proposals, recommendations and automatic reservations can be made.

  (2) If an occurrence probability distribution with the day of the week as an explanatory variable is set, it becomes possible to appropriately schedule events whose occurrence probability depends on the day of the week.

  (3) If an occurrence probability distribution with the age day as an explanatory variable is set, it becomes possible to appropriately schedule an event whose occurrence probability depends on the age day.

  (4) If an occurrence probability distribution with business days related to events as explanatory variables is set, a schedule can be reserved on days other than closed days such as stores where events cannot be scheduled.

  (5) If an occurrence probability distribution with the schedule free time as an explanatory variable is set, an event whose occurrence probability depends on the schedule free time can be appropriately scheduled.

It is the functional block diagram which showed the structure of the information terminal device with which this invention is applied. It is the flowchart which showed operation | movement of one Embodiment of this invention. It is the figure which showed an example of event interval distribution. FIG. 6 is a diagram showing an example of an event occurrence probability distribution G1 (d). FIG. 6 is a diagram showing an example of an event occurrence probability distribution G2 (d). It is the figure which showed an example of event occurrence probability distribution G3 (d). It is the figure which showed an example of the occurrence probability distribution which uses a congestion degree as an explanatory variable. It is the figure which showed an example of the occurrence probability distribution which makes moon age a explanatory variable.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. FIG. 1 is a functional block diagram showing the configuration of an embodiment of an information terminal device to which the present invention is applied. Here, the configuration unnecessary for the description of the present invention is omitted.

  The information terminal device of the present invention may be configured by mounting an application (program) for realizing each function on a general-purpose computer (server, smartphone, PDA), or a part of the application may be implemented as hardware or ROM. It may be configured as a specialized machine or a single machine.

  In the electronic calendar unit 1, the calendar UI provides a calendar function and a user interface function that accepts input, deletion, editing, and the like of a schedule by a user operation to the calendar function. In the event DB section, history information and reservation information are accumulated for each schedule target event.

  In the event history information, the implementation date and time is registered as the actual value of each event, and the implementation location and the implementation time (time restricted by the event) may be registered as accompanying information. In the reservation information, the scheduled execution date and time of the event automatically reserved by this system or manually reserved by the user operation is registered, and the scheduled execution location and scheduled execution time may be registered as accompanying information. is there.

  For each event, the event interval totaling unit 2 totals history information related to the implementation date and estimates the event interval distribution. The event occurrence condition totaling unit 3 estimates an event occurrence probability distribution for each of various explanatory variables such as day of the week and age.

  FIG. 3 is a diagram showing an example of the event interval distribution estimated by the event interval totaling unit 2, where the horizontal axis represents the event interval and the vertical axis represents the occurrence probability. In this embodiment, a normal distribution is assumed to smooth the event interval distribution, and an average value and a standard deviation are calculated from the history information to obtain a probability distribution.

  For example, if the history of event “A” has been registered K times in the past and the kth date is xk, the interval giving the probability p that the next [K + 1] th event will be reserved and registered for date x Distribution F (x−xK) is given by the following equation (1).

  When the event “A” is registered only several times, a value of 1 / m of a constant of the average value is given as a temporary standard deviation.

  In the event occurrence condition collection unit 3, the first tabulation unit 3a estimates an event occurrence probability distribution G1 (d) having the day of week d as an explanatory variable based on the event history information. FIG. 4 is a diagram showing an example of the occurrence probability distribution G1 (d), which is obtained by counting the implementation date of the event for each day of the week based on the event history information.

  For example, when the function d = w (x) that gives the day of the week x of the date x is defined, the occurrence probability distribution G1 (d) is given by the following equation (2). Note that Σ ... represents the number of days in which the day of the week registered in the past is d.

  The second tabulation unit 3b estimates an event occurrence probability distribution G2 (d) having business days such as a store providing the event as an explanatory variable. FIG. 5 is a diagram showing an example of the occurrence probability distribution G2 (d), where the occurrence probability is zero on a regular holiday (in this case, Tuesday) and the occurrence probability distribution with the same probability on other days of the week. It is given by equation (3).

  The business days of facilities and services can be acquired via the information acquisition unit 5 from a typical pattern on a homepage on the Internet, for example. In addition, if there is a reservation table published on the homepage, electronic data can be obtained from it.

  The third tabulation unit 3c sets the occurrence probability distribution G3 (x) in which the occurrence probability increases in principle as the days having more vacancy in the schedule, based on the schedule availability of the users around the next event candidate date. The availability of the schedule is determined based on the reservation status of other events, for example, as the day with the shorter total time length (restraint time length) spent on other events is the day with more vacancy in the schedule.

  FIG. 6 is a diagram showing an example of the occurrence probability distribution G3 (x). Such an occurrence probability distribution G3 (x) is, for example, a day free time of the date candidate date x being l (x). Then, it is expressed by the following equation (4). Here, the range in which the sum is obtained by Σ is a fixed period including the peak of the interval distribution.

  If the event location can be managed as an accompanying attribute in the event DB, the physical location of the target event location (actual value) and the other event locations (actual values) reserved each day The occurrence probability p may be corrected to be increased as the distance becomes shorter, and the occurrence probability p may be corrected to be decreased as the distance becomes longer. In this way, scheduling that is difficult to realize due to restrictions on travel time is eliminated, while scheduling with short travel time is prioritized, so that time can be effectively used.

  The schedule proposing unit 4 applies the interval distribution set by the event interval totaling unit 2 and the occurrence probability distribution set by each totaling unit of the event occurrence condition totaling unit 3 to the expression (5) described later to apply next time. Subsequent events are scheduled and proposed to the electronic calendar unit 1.

  The electronic calendar unit 1 proposes and recommends the scheduled event date to the terminal user as the implementation candidate date. Then, the event date is reserved in the event DB in response to the reservation operation by the user who confirmed the proposal content or automatically regardless of the response operation.

  Next, the operation of the embodiment of the present invention will be described with reference to the flowchart of FIG. Here, a case where the event to be scheduled is “haircut at a beauty salon” will be described as an example.

  If it is determined in step S1 that the registered haircut date has arrived, or if it is detected that the user ends the haircut and the haircut date is manually registered in the calendar UI as history information, in step S2 The repeatability of the event is determined. In this embodiment, repeatability is determined on the basis of the number of haircut history registrations. If a plurality of history information is not registered in the event DB, it is determined that a schedule reservation is unnecessary, and the process ends.

  On the other hand, if a plurality of history information is registered, it is recognized as an event to be scheduled, and the process proceeds to step S3. In the event interval totaling unit 2, the event interval distribution (see FIG. 3) is estimated.

  In step S4, the first counting unit 3a of the event occurrence condition counting unit 3 counts the haircut day for each day of the week based on the haircut history information, and the event occurrence probability distribution G1 (d) having the day of the week as an explanatory variable is obtained. For example, it is estimated as shown in FIG.

  In step S5, in the second occurrence condition unit 3b of the event occurrence condition totaling unit 3, an event occurrence probability distribution G2 (d) having the business day of the beauty salon as an explanatory variable is estimated as shown in FIG. 5, for example. .

  In step S6, in the third occurrence condition unit 3c of the event occurrence condition totaling unit 3, the occurrence probability distribution G3 (x) of the events on each day of the week within the target period is calculated based on the free time of the user on each day of the week. It is estimated as shown in FIG.

  In step S7, the optimal date is calculated as the next haircut date by applying the interval distribution and each occurrence probability distribution to the following equation (5). In step S8, the reservation for the optimum date is input to the calendar UI of the electronic calendar 1.

  According to the present embodiment, an event schedule having a repeatability but a weak periodicity and a relatively high degree of freedom of the execution cycle is planned while maintaining the periodicity specific to each event, and is proposed as an implementation candidate date. Recommendations and automatic reservations will be available.

  In addition, since the occurrence probability distribution with the day of the week as an explanatory variable is set, it becomes possible to appropriately schedule events whose occurrence probability depends on the day of the week. Furthermore, since the occurrence probability distribution having the business days related to the event as explanatory variables is set, the schedule can be reserved on days other than closed days such as stores where events cannot be scheduled. Furthermore, since the occurrence probability distribution having the schedule idle time as an explanatory variable is set, it is possible to appropriately schedule events whose occurrence probability depends on the schedule idle time.

  In addition, if the information regarding the congestion degree and reservation status of the store that provides the event can be acquired through the information acquisition unit 5 from a website on the network, for example, as shown in FIG. An occurrence probability distribution G4 (x) in which the occurrence probability on Friday, Saturday, and Sunday that is a congestion day is lowered and the occurrence probability on a free day is increased and the occurrence probability on Wednesday may be increased by using the degree of congestion as an explanatory variable.

  Furthermore, in the above embodiment, the scheduling of haircuts having high dependency on the event interval and day of the week has been described as an example, but the present invention is not limited to this, and the event having high dependency on the age of the month Then, as shown in FIG. 8, the occurrence probability distribution with the age as the explanatory variable may be estimated based on the history information of the event.

  DESCRIPTION OF SYMBOLS 1 ... Electronic calendar part, 2 ... Event interval total part, 3 ... Event occurrence condition total part, 4 ... Schedule proposal part

Claims (11)

An interval counting means for obtaining an interval distribution based on event history information in an information terminal device that schedules a repetitive event;
Occurrence condition aggregation means for setting an event occurrence probability distribution for each predetermined explanatory variable;
An information terminal device comprising scheduling means for scheduling an event from the next time on the basis of the interval distribution and the occurrence probability distribution.   2. The information terminal device according to claim 1, wherein the occurrence condition totaling unit sets an occurrence probability distribution with day of the week as an explanatory variable based on event history information.   2. The information terminal device according to claim 1, wherein the occurrence condition analysis unit sets an occurrence probability distribution having an age day as an explanatory variable based on event history information.   2. The information terminal device according to claim 1, wherein the occurrence condition analysis means sets an occurrence probability distribution having business days related to the event as explanatory variables.   2. The information terminal device according to claim 1, wherein the occurrence condition totaling unit sets an occurrence probability distribution having an empty time of a user's schedule as an explanatory variable.   6. The information terminal device according to claim 5, wherein the occurrence condition aggregation means sets the occurrence probability higher for a day having a shorter total time length spent for other events.   The information terminal device according to claim 5 or 6, wherein the occurrence condition aggregation means sets the occurrence probability higher as the place where the event is performed is closer to the place where the other event is performed.   8. The information terminal apparatus according to claim 1, wherein the scheduling means outputs a scheduling result to a user.   9. The information terminal device according to claim 1, wherein the scheduling means reserves an event for the next and subsequent times in the calendar based on a scheduling result. In a method for an information terminal device to identify and schedule a repetitive event,
A procedure for reading event history information from the storage unit and obtaining an interval distribution of the event,
A procedure for setting event probability distribution for each predetermined explanatory variable;
A scheduling method for an information terminal device, comprising: scheduling an event for the next and subsequent times based on the interval distribution and the occurrence probability distribution. In a program that identifies and schedules repetitive events,
A procedure for reading event history information from the storage unit and obtaining an interval distribution of the event,
A procedure for setting event probability distribution for each predetermined explanatory variable;
A scheduling program for an information terminal device that causes an information terminal device to execute a procedure for scheduling an event from the next time on the basis of the interval distribution and the occurrence probability distribution.