JP2006244028A - Information exhibition device and information exhibition program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To exhibit optimum information to a user. <P>SOLUTION: This information exhibition device exhibiting information corresponding to a keyword inputted from the user has: an analogy means extracting an analogy word from a previously stored analogy word group on the basis of the keyword; a taste information generation means adding weighting to the keyword and the analogy word obtained by the analogy means to generate taste information; and an information selection means extracting information from a previously stored information metadata group on the basis of the taste information obtained by the taste information generation means, and selecting the information exhibited to the user from the extracted information on the basis of the weighting. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to an information presentation apparatus and an information presentation program, and more particularly to an information presentation apparatus and an information presentation program for presenting optimal information to a user.

  Conventionally, there is a technique for presenting content (information) represented by a program or the like in accordance with user preference information. In such a technique, first, a questionnaire or the like is performed on the user, and the result is used as user preference information, referring to program data such as an electronic program guide, and a program corresponding to the preference information is selected and presented to the user. ing.

  Here, the specific contents of the above-mentioned questionnaire include various contents such as age, sex, hobbies, favorite program genres, disliked program genres, and information of interest. When the user wants to obtain desired information, the user needs to answer these questions in detail.

  Also, on the side of presenting content such as programs, the target information is extracted by comparing the preference information with a pre-registered program database, and the content is grouped using the attributes of the program content. There is a technique for recommending content for each group (for example, see Patent Document 1).

In Patent Document 1, by grouping contents, it is possible to recommend related contents from the use frequency for each group in the grouping item generated based on the item representing the attribute of the content.
JP 2004-206679 A

  However, as described above, in order to present information such as a program desired by the user, first, the user needs to input a lot of data in order to generate detailed preference information. This places a burden on the user.

  In addition, the user may change his / her preference by viewing (presenting) information such as a program. However, conventionally, it has been impossible to accurately grasp the change in the preference and quickly update the program presentation order in accordance with the change.

  The present invention has been made in view of the above-described problems, and an object thereof is to provide an information presentation apparatus and an information presentation program for presenting optimal information to a user.

  In order to solve the above problems, the present invention employs means for solving the problems having the following characteristics.

  According to the first aspect of the present invention, in the information presentation device for presenting information corresponding to a keyword input from a user, analogy means for extracting an analogy word based on the keyword from a presumed analogy word group; , Preference information generation means for generating preference information by weighting the keyword and the analogy word obtained by the analogy means, and preference information obtained by the preference information generation means from a previously stored information metadata group And information selection means for selecting information to be presented to the user based on the weighting from the extracted information.

  According to the first aspect of the invention, it is possible to present optimal information to the user. Also, the analogy word is extracted from one keyword input by the user, and the preference information is expanded using the keyword and the analogy word, so that the user does not need to input detailed information and presents information corresponding to the preference. be able to.

  The invention described in claim 2 is characterized by comprising physical information detecting means for detecting physical information during presentation of a user who is presenting the information.

  According to the second aspect of the present invention, the user's reaction to the presented information can be quickly and accurately acquired based on the physical information. Thereby, a change in the user's preference for the presented information can be acquired.

  According to a third aspect of the present invention, there is provided dialog detecting means for detecting dialog information performed on information being presented by a user who is presenting the information.

  According to the third aspect of the present invention, the user's reaction to the presented information can be acquired quickly and with high accuracy by the dialogue information. Thereby, a change in the user's preference for the presented information can be acquired.

  According to a fourth aspect of the present invention, there is provided a change detecting means for detecting change information obtained by changing the information being presented by the user presenting the information.

  According to the fourth aspect of the present invention, the user's reaction to the presented information can be acquired quickly and with high accuracy by the change information. Thereby, a change in the user's preference for the presented information can be acquired.

  In the invention described in claim 5, the preference information generation unit is already based on the preference information and action information including any one of the body information, the dialogue information, and the change information. The weighting of the added keyword and the analogy word is updated.

  According to the fifth aspect of the present invention, it is possible to update the weighting of the preference information from the behavior information and generate the preference information optimal for the user. Thereby, the accuracy of preference information can be improved.

  According to a sixth aspect of the present invention, the information selection unit sets a weight for each data item included in the information metadata in advance, the weight value for each data item, the keyword, and the analogy. A score for each piece of extracted information is calculated based on the weighting value added to the word.

  According to the sixth aspect of the present invention, it is possible to select information that is more suitable for the user's preference and present it to the user.

  According to a seventh aspect of the present invention, the information selecting means extracts information and selects information to be presented each time new information metadata is added to a previously stored information metadata group. Features.

  According to the seventh aspect of the present invention, the presentation information is updated each time new information is accumulated, so that new information can be presented to the user quickly without wasting time.

  The invention described in claim 8 is characterized in that the physical information detecting means detects at least one piece of information as physical information among the user's eye direction, pupil size, blood pressure, pulse, and heart rate. Features.

  According to the eighth aspect of the present invention, the body information can be acquired with high accuracy by a simple method.

  The invention described in claim 9 is characterized in that the dialogue detection means detects at least one piece of information as dialogue information among the dialogue time, the number of dialogues, and the dialogue contents for the dialogue target.

  According to the ninth aspect of the present invention, the dialogue information can be acquired with high accuracy.

  According to a tenth aspect of the present invention, the change detecting means detects, as change information, a viewing degree obtained from a preset information presentation time and a time until the user changes the information. It is characterized by.

  According to the tenth aspect of the present invention, information changes can be easily acquired.

  According to an eleventh aspect of the present invention, in an information presentation program for causing a computer to execute a process of presenting information corresponding to a keyword input by a user, based on the keyword from an analogized word group stored in advance. Analogue processing for extracting analogy words, preference information generation processing for generating preference information by adding weights to the analogy words obtained by the keyword and the analogy processing, and the preference from the pre-stored information metadata group Information is extracted based on the preference information obtained by the information generation process, and further, an information selection process for selecting information to be presented to the user based on the weighting from the extracted information is executed by the computer.

  According to the eleventh aspect of the present invention, it is possible to present optimal information to the user. Also, the analogy word is extracted from one keyword input by the user, and the preference information is expanded using the keyword and the analogy word, so that the user does not need to input detailed information and presents information corresponding to the preference. be able to. In addition, the information presentation process can be easily realized by installing the execution program in the computer.

  According to the present invention, it is possible to present optimal information to a user.

<Outline of the present invention>
In the present invention, preference information is expanded using an analogy dictionary or the like stored in advance in addition to the keyword input by the user, instead of using only the keyword input by the user as preference information. Also, the preference information is updated using the behavior information of the user who is presenting information for each preference information. Thereby, the preference information can select the content according to a user's preference by the action that a user views information.

  DESCRIPTION OF EMBODIMENTS Hereinafter, an embodiment in which an information presentation apparatus and an information presentation program according to the present invention having the above-described features are suitably implemented will be described in detail with reference to the drawings. In addition, although embodiment shown below shows the example which shows a program as an example of the information (content) shown to a user, in this invention, it does not restrict | limit about the information shown, for example, image information, audio | voice It may be content such as information, documents, and games.

<First Embodiment>
FIG. 1 is a diagram illustrating a configuration example of an information presentation apparatus according to the first embodiment. 1 includes a user input unit 11, an analogy unit 12, an analogy dictionary database 13, a preference information generation unit 14, a preference information database 15, a program selection unit 16, a program database 17, The program presenting means 18, the body information detecting means 19, the dialogue detecting means 20, and the program change detecting means 21 are configured.

  The user input means 11 inputs information (keywords) from the user about what the user is interested in, what he likes, keywords of the program he / she wants to watch when the user views content such as a program. The keyword may be a word, or may be a plurality of words or sentences. Further, the user input unit 11 outputs the input information to the analogy unit 12.

  Based on the keyword input by the user input means 11, the analogizing means 12 refers to the analogical dictionary database 13 in which analogical word groups are stored in advance, and extracts analogical words preliminarily estimated corresponding to the keywords. . The extracted information is used as preference information together with the keyword. Thereby, since preference information is expanded using a keyword and an analogy word, the user does not need to input detailed information and information corresponding to the preference can be presented. The analogy means 12 outputs the extracted word to the preference information generation means 14.

  The preference information generation unit 14 weights the words estimated by the analogy estimation unit 12. Moreover, the preference information generation means 14 inputs action information obtained from at least one of the body information detection means 19, the dialogue detection means 20, and the program change detection means 21, and sets the word corresponding to the input information. On the other hand, the weight is updated. The weighting described above is performed every time a keyword is input by the user, every predetermined time interval, a predetermined time, or a program unit being presented.

  In this way, the preference information generation unit 14 can accurately grasp the change in preference from the user's reaction (behavior information) obtained by the body information detection unit 19, the dialogue detection unit 20, and the program change detection unit 21. Moreover, the preference information generation means 14 can update the weight of preference information with action information to generate preference information that is optimal for the user, and can improve the accuracy of preference information. Details of a specific weighting addition method will be described later.

  The preference information generation unit 14 outputs the preference information with the weight added to the preference information database 15. The preference information database 15 will be described later.

  The program selection means 16 extracts a program from the program database 17 based on the preference information stored in the preference information database 15. Further, the program selection means 16 calculates a score for each extracted program and selects a program to be presented to the user. Furthermore, the program selection means 16 determines the order of programs to be presented to the user. Note that the program selection unit 16 may set not only the presentation order but also processing such that the program information is highlighted on the screen when presented.

  Here, the program selection by the program selection means 16 is performed using program metadata (information metadata) describing program feature information added to each program. Since program metadata and program material data corresponding to the metadata are stored in the program database 17, the program selection means 16 refers to the program database 17 and based on the preference information and the program metadata. Perform program extraction.

  Note that the program feature information described above includes, for example, the program title, subtitle, program language, production date and time, producer, content at the beginning of the program (description), overall outline description, and the like.

  In calculating the score in the program selection means 16, a weight is set in advance for each data item included in the information metadata, and the weight value for each data item and the keyword stored in the preference information database 15 are set. And the score for every extracted information is calculated based on the weighting value added to the preference information which consists of analogy words. Details of the score calculation method will be described later.

  The program selection means 16 outputs various information for presenting the program to be presented, such as the program to be presented and the order in which the programs are presented, to the program presentation means 18.

  The program presentation means 18 presents a program to the user based on various information such as the presentation order obtained by the program selection means 16. Here, an example of program presentation will be described. For example, the program presentation unit 18 first acquires a program script, material data, and an automatic program production engine necessary for generating each program stored in the program database 17 by the program selection unit 16. Moreover, the program presentation means 18 inputs a program script and material data using the above-mentioned automatic program production engine etc., for example, produces | generates the TVML (TV program Marking Language) script etc. of a program.

  Here, TVML is an object-based description language for producing a television program. In TVML, video and audio of a TV program are described separately as materials and scripts. When a program script is described, software that runs on a personal computer or the like reads it and immediately views it as a TV program. It is something that can be done.

  Next, the program presentation means 18 can reproduce the program for the user by inputting the generated TVML script to the TVML player.

  The body information detecting means 19 detects body information such as pulse information, heart rate, blood pressure, etc., information such as the user's line-of-sight information and pupil size during viewing of the user's program. For example, the body information detection means 19 detects the user's line-of-sight position and the size of the pupil while watching a program, and uses these pieces of information as behavior information while watching the user's program, such as a predetermined time interval and program switching. The degree of interest (change in preference) of the user is detected at each time point.

  The body information detection means 19 constitutes an imaging device capable of photographing the user's eyes when acquiring pupil information, constitutes a pulse meter when measuring a pulse, and measures blood pressure when measuring blood pressure. A total is constructed. That is, a detection device corresponding to the measured body information is configured. Moreover, the body information detection means 19 may be comprised by 2 or more apparatuses from the above, for example, and may be made to detect several body information.

  The physical information detection means 19 outputs the detected physical information and the like to the preference information generation means 14 as user behavior information. The preference information generation means 14 updates the user preference information based on the physical information obtained by the physical information detection means 19 as described above.

  Further, the dialogue detection means 20 detects dialogue information between the program such as the number of questions and the like input to the program while the user is viewing the program.

  For example, an example of dialog detection will be described. For example, in a TV4U (TV for You) system that automatically creates and provides a TV program that suits the user's preference using computer graphics and speech synthesis, a program performer at an arbitrary timing while the user is watching the program It is possible to interrupt the program by talking to the CG character (agent). Then, it is possible to interact with the program performers and obtain more desired information.

  The dialogue detection means 20 detects the number of interruptions described above and the word input by the user. Further, the dialogue detection unit 20 outputs the interrupt count and the word input by the user to the preference information generation unit 14.

  The preference information generation means 14 updates the preference information based on these information at each time point such as a predetermined time interval or program change. For example, when the number of interruptions is equal to or greater than a predetermined threshold, it can be considered that the user is interested in the viewed program, and can be regarded as interested in the input word. The preference information generation means 14 can further improve the accuracy of preference information that is reflected in the weighting of preference information based on these results.

  Moreover, the program change detection means 21 detects the change of the program by the instruction from the user. For example, when a user who is watching a program switches to another program at an arbitrary timing, change information about the program is detected. The program change detection unit 21 outputs the acquired program change information to the preference information generation unit 14.

  As described above, the preference information generation unit 14 updates the weighting of the preference information based on such information at each time point such as a predetermined time interval or program switching.

  The program change detection unit 21 outputs switching information for the user to switch programs to the program presentation unit 18. The program presentation means 18 presents the next program based on the switching information.

  As described above, the information presenting apparatus 10 can sequentially select and provide the optimum program from the program group stored in the storage device or the like based on the preference information and behavior information of the viewer (user).

<Example of output by analogy means 12>
Next, an output example of the analogizing means 12 will be described with reference to the drawings. FIG. 2 is a diagram illustrating an example of word output in the analogy means. In the example illustrated in FIG. 2, an example in which the word “wine” is input by the user input unit 11 is illustrated. The analogy means 12 extracts an analogy word set for “wine” with reference to the analogy dictionary database 13. In the analogy dictionary database 13, analogical word groups corresponding to words are set in advance. As shown in FIG. 2, examples of analogy from “wine” include “red wine”, “white wine”, “grape”, The word “Winery” is extracted.

  The analogy means 12 expands “I like wine” obtained from the information input by the user, and outputs this information as user preference information as “User likes wine, red wine, white wine, grapes, winery” To do. The preference information is accumulated in the preference information database 15 with weights added.

<Program selection means 16>
Next, an example of program selection in the program selection means 16 will be described. For each word included in the user's preference information, a corresponding program is searched and extracted from program metadata stored in advance in the program database 17. FIG. 3 is a diagram illustrating an example of program metadata.

  The metadata shown in FIG. 3 includes the program title (<title>), subtitle (<subtitle>), the location of the material data corresponding to the metadata (<link>), the contents of the beginning of the program, etc. (<Description>), creator (<creator>), production date (<date>), language used in the program (<language>), and the like.

  The program selection means 16 extracts a program by comparing the word in the metadata described above with the user's preference information (word) stored in the preference information database 15. FIG. 3 shows program metadata obtained by searching the program database 17 using “wine” as the preference information as a search key (search word).

  The metadata shown in FIG. 3 indicates metadata in the TV4U system. However, in the present invention, the type and order of items (tags) are not particularly limited, and are stored as material data. Other metadata may be used.

  Next, the program selection means 16 calculates a score for each extracted program based on the weighting value set for each item included in the program metadata and the weighting value for the preference information. Moreover, the program selection means 16 determines a program presentation order (presentation order) so that a user may be presented from a thing with many scores, for example. Here, a specific score calculation method will be described with reference to the drawings.

  FIG. 4 is a diagram illustrating a program score calculation example. First, as shown in FIGS. 4A and 4B, weights are set in advance for the appearance position of the preference information in the user preference information and metadata, and are stored in the preference information database 15 and the like.

  For example, as shown in FIG. 4A, the score is set such that three points are obtained for the word directly input by the user regarding the preference information and one point is provided for the analogy word obtained from the analogy dictionary database 13. As shown in FIG. 4B, when the preference information (search word) in the metadata appears in the title (<Title>), the title is a word representing the program, so four points are set, and the subtitle If it appears on the screen, 3 points are set, and if it appears in other cases, 1 point is set.

  Here, if the weighting of FIG. 4A is applied to the preference information shown in FIG. 2 described above, three points of “wine”, “red wine”, “white wine”, “ Grapes "and" Winery "are each one point.

  Next, a score for each program is calculated from the words included in the metadata extracted from the program database 17 based on the setting values (weighting values) shown in FIGS. 4B and 4C. For example, when FIGS. 4B and 4C are applied to the metadata shown in FIG. 3, a score as shown in FIG. 4D is calculated.

  More specifically, as a result of the search, “Winery” is hit in the title, so the score of “Winery” included in the title data is 4. “Winery” is one point because it is an output from the analogy dictionary database 13. Here, the two scores are multiplied to obtain “4 points × 1 point = 4 points”.

  Similarly, since “Winery” is hit in the metadata summarization section (description), the score of “Winery” included in the summarization section (others) is one point. Also, as described above, “Winery” is one point because it is an output from the analogy dictionary database 13. Here, the two scores are multiplied to give “1 point × 1 point = 1 point”.

  Therefore, the total score of the program corresponding to the metadata shown in FIG. 3, that is, the user's preference score for this program is 5. In this way, for all program metadata extracted from the program database 17, the score for each program is calculated in units of user preference information.

  Further, the program selection means 16 selects a program to be presented to the user based on the calculated score result for each program, and further determines a presentation order and generates a program presentation order and the like.

  Here, FIG. 5 is a diagram showing a setting example of the score result for the extracted program and the order of the presentation order. In FIG. 5, as an example, scores of programs A to H extracted from the program database are calculated as shown in FIG. 4, and a presentation order is set based on the scores.

  In this way, all programs stored in the program database 17 are searched using the user's preference information as a key, and the extracted programs become programs to be presented to the user (candidate programs). The score is calculated based on the metadata, and the presence / absence of the presentation target program and the presentation order are set. The example shown in FIG. 5 shows an example in which five programs are presented from the highest score of each program.

  The setting of the presentation order and the number of presentations described above is not limited to this. For example, when calculating scores, the number of preference information words included in the same metadata is counted as shown in FIG. 5, and for example, when there are programs with the same score, there are many words. Processing such as giving priority to the included program can be performed. If there are programs with the same score, they may be presented based on a preset condition such as presentation from the newest program order of the production date. Alternatively, the programs may be presented in order from the program having the largest number of hit words.

  The program selection unit 16 outputs information for presenting the program such as a program presentation order to the program presentation unit 18 as described above. The program presentation means 18 obtains a program script, material data, etc. from the information obtained from the program selection means 16 to produce a program and present it to the user. Here, a production example of a program in the program presentation means 18 will be described with reference to the drawings.

  FIG. 6 is a diagram showing an example of program production in the present invention. FIG. 6 shows an outline of program generation in the TV4U system. As described above, the TV4U system uses TVML as a dedicated script language. In addition to TVML, an expression format such as an XML (extensible Markup Language) format can also be used.

  In FIG. 6, an XML format program script and material data of a program described in metadata are input to the automatic program production engine 31, and a program generation script described in a TVML script is generated. Next, the generated script is input to the TVML player 32.

  The TVML player 32 reads a program script described in TVML, and outputs the video and audio of the program to the monitor 33 in real time. That is, a program is presented to the user based on the above-described program presentation order. Here, for example, the TVML player 32 generates a studio shot in real-time CG, and a CG character appearing in the CG studio set speaks by outputting the speech described in the TVML script as synthesized speech. It is possible to display the place to perform or to display the place to perform. In addition, it is also possible to output video playback, BGM playback, title display using images, and the like.

  As described above, the user can expand and set the user preference information only by inputting a small number of keywords according to the above-described contents. Thereby, the burden (labor) which a user inputs detailed information can be reduced, and an optimal program can be presented to the user.

  Next, the updating of the weighting of preference information based on the behavior information obtained by viewing the user's program will be described with reference to the drawings.

<Generation of Action Information in Body Information Detecting Unit 19>
First, a method for generating behavior information in the body information detection unit 19 will be described with reference to the drawings. As an example, the body information detecting means 19 detects the position of the user and the size of the pupil while viewing the user's program as body information. Using these pieces of information as user behavior information, the degree of interest (change in preference) of the user at each time point is measured, and the user preference information is updated based on this result. For example, whether or not the user is interested in a certain program is evaluated from the relative time (program viewing degree) that the user is watching the program output screen such as a monitor and the change in the pupil size (program interest degree) of the user.

  Here, the above-mentioned content is demonstrated using figures. FIG. 7 is a diagram illustrating an example of the relationship between the program viewing level and the program interest level. In FIG. 7, the viewing degree of a standard program is defined as 0.7. The audience rating indicates the relative time that the user is actually watching during the entire program. For example, if there is a program having a program length (reproduction time) of 15 minutes for a certain program, the scale is how long the program screen was viewed during the 15 minutes.

  That is, in this example, when a program is viewed for 12 minutes out of 15 minutes, the program viewing degree is 12/15 = 0.8 as shown in FIG. Note that the degree of viewing when watching a program without taking a look at one time is 1.0.

  Next, the size of the pupil is acquired. FIG. 8 is a diagram illustrating a measurement example of the program interest level based on the pupil size. As shown in FIG. 8 (a), how much the pupil is opened (enlarged) or closed (reduced) during viewing of the program is determined based on the user's normal pupil size measured in advance. Measure to a degree. FIG. 8B is an example of a measurement result based on the above-described standard.

  Here, the size (area) of the pupil in a normal state is 1. For example, the size of the pupil is measured by measurement (for example, in units of 10 seconds) at predetermined time intervals, and the sum of the magnitudes of trends at each time point is divided by the number of measurements. Thereby, the average in the whole program can be calculated.

  These pieces of information can be output to the preference information generating means 14 and the preference information weighted can be updated to accumulate the preference information with the new weight added in the preference information database 15. Thereby, the preference information once created and accumulated is sequentially updated as the user views the program. For this reason, the accuracy of preference information can be improved.

  Further, as described above, since the data stored in the preference information database 15 is also updated with respect to the generation of the program presentation order in the program selection means 16, the optimum program can be quickly presented to the user.

  Further, for example, by combining the contents changed by the program change detecting means 21, it is possible to present a program that the user wants to view more. Specifically, when the user switches to another program at an arbitrary timing by operating the remote controller or the like, for example, a program with a program length of 15 minutes is changed to another program 10 minutes after the user starts watching the program. In the case of switching, it is possible to acquire more accurate action information by setting the program length as a measurement target to 10 minutes instead of 15 minutes.

  Moreover, the program change detection means 21 outputs the change information by switching another program to the preference information generation means 14, and whether the program that has been viewed up to now is of interest to the user based on the measurement result. The weight of the preference information is updated according to the determination result.

  Here, an example of updating preference information will be described with reference to the drawings. FIG. 9 is a diagram showing an example in which the weighting of preference information before and after viewing a program is updated. FIG. 9A is an example of the score calculation result of the program shown in FIG. 4D described above.

  First, it is assumed that weighting before viewing in a certain program is 5 points as shown in FIG. Next, after viewing, the weighting of the preference information is updated based on the behavior information obtained by the physical information detection means 19 and the behavior information obtained by the program change detection means 21.

  The interest level of a normal standard program for the user is 0.7 (viewing degree) × 1.0 (pupil area) = 0.7. Here, when the program being watched is higher than this value, the weight of the word of each preference information included in the program is increased, and conversely, it is decreased when the program is low. In the example shown in FIG. 9B, the program interest degree as the action information obtained by the body information detecting means 19 is 0.6. In this case, for example, the weight of the word “Winery” included in the program is 0.86 by multiplying one point before use by the program viewing degree ratio 0.6 / 0.7 = 0.86. . Similarly, weighting is updated for other preference information included in the same program.

  The preference information generating unit 14 accumulates the preference information in the preference information database 15, whereby the program selection unit 16 updates the program selection and selection order. As described above, when the user views the program, the weight of the user's preference information shown in FIG. 4A is sequentially updated, and the program more suitable for the preference can be presented to the user.

<When a new program (information) is added>
Further, when a new program is added to the program database 17 or the like, the program selection means 16 performs a process of newly extracting a program, selecting the program, and setting the order. Is updated. Here, an example of updating the program presentation order will be described with reference to the drawings.

  FIG. 10 is a diagram illustrating an example of updating the program presentation order. As shown in FIG. 10, it is assumed that the current program presentation order is “B⇒D⇒A⇒E⇒G”. Further, it is assumed that the user is currently viewing the program D. At this time, when a new program I is added to the program database 17, the program selection means 16 extracts a program. Further, when the program I is extracted, the program selection means 16 calculates the score of the program I, and the score is 5 points. In this case, the program selection means 16 updates the program presentation order and changes so that the program I is presented after the program D currently being viewed by the user ends (B⇒D⇒I⇒A⇒E⇒G). .

  Thereby, in program selection, it is updated each time a new program is added to the storage means of the program database 17, and the program that the user wants to view can be quickly viewed without wasting time.

  In the TV4U system in the present embodiment, a program is produced asynchronously with viewing by a program production subsystem called a TV creator or the like, stored in a program storage / distribution subsystem called a TV server, and also stored in the program database 17. It is distributed through a communication network or updated by a recording medium such as a DVD. Also, the presentation information is updated when a new program is accumulated. Therefore, as shown in FIG. 10, the presentation order can be updated when the user is viewing another program.

  In the above-described embodiment, since it is assumed that metadata is configured for each program, preference information is updated for each program. For example, one program stores metadata for each corner. In the case of having a plurality, it is possible to update the weighting of the preference information for each corner. As a result, it is possible to provide a program that reflects user preference information more quickly.

  The viewing history information of the program may be accumulated in a predetermined time unit, and the detailed weighting may be changed by dividing into the corner unit even in the program. Here, the above-mentioned content is demonstrated using figures.

<Second Embodiment>
FIG. 11 is a diagram illustrating a configuration example of an information presentation device according to the second embodiment. In FIG. 11, the same reference numerals are used for constituent blocks that perform the same processing as in the first embodiment (FIG. 1) described above, and redundant description is omitted.

  The information presentation device 40 shown in FIG. 11 has a viewing history database 41 for storing a viewing history as compared with the information presentation device 10 shown in FIG. 42. The processing of the program presentation means 43 is also slightly different from that of the first embodiment.

  The program presentation unit 43 generates a TVML script, for example, based on the program presentation order obtained by the program selection unit 16 as described above. The information obtained from the program selection means 16 is not for each program but for each corner of the program.

  The program presenting means 43 presents the program to the user, and at that time, program viewing information is stored in the viewing history database 41 together with time information. This viewing history is referred to by the preference information generating means 42 and based on the user behavior information obtained for each corner of the program from the physical information detecting means 19, the dialog detecting means 20, and the program change detecting means 21 described above. The weighting of preference information is updated.

  Thereby, weighting of preference information can be updated not for each program but for each corner in one program. Thereby, it can also present first from the corner which a user wants to view. Thereby, an optimal program can be presented to the user.

  The various databases (analogue dictionary database 13, preference information database 15, program database 17, viewing history database 41) used in the above-described embodiment are configured in the information presentation device. For example, it may be managed by another storage server or the like, and in that case, the corresponding data may be acquired via a communication network such as the Internet or a LAN (Local Area Network).

  In addition, the information presentation devices 10 and 40 according to the present invention can perform the information presentation processing according to the present invention using the above-described dedicated device configuration or the like, but an execution program capable of causing a computer to execute the processing in each configuration. For example, the information presentation process described above can be realized by installing the program in a general-purpose personal computer, workstation or the like.

<Hardware configuration>
Here, an example of a hardware configuration of a computer capable of executing the information presentation process according to the present invention will be described with reference to the drawings. FIG. 12 is a diagram illustrating an example of a hardware configuration capable of realizing the information presentation process according to the present invention.

  12 includes an input device 51, an output device 52, a drive device 53, an auxiliary storage device 54, a memory device 55, a CPU (Central Processing Unit) 56 for performing various controls, and a network connection device. 57 are connected to each other by a system bus B.

  The input device 51 has a pointing device such as a keyboard and a mouse operated by the user, and inputs various operation signals such as program execution and keyword input from the user. The output device 52 has a display (monitor) for displaying various windows and data necessary for operating the computer main body for performing the processing in the present invention, and the execution progress in the information presentation processing by the control program of the CPU 56. And results can be displayed.

  Here, in the present invention, the execution program installed in the computer main body is provided by, for example, a recording medium 58 such as a CD-ROM. The recording medium 58 on which the program is recorded can be set in the drive device 53, and the execution program included in the recording medium 58 is installed in the auxiliary storage device 54 from the recording medium 58 via the drive device 53.

  The auxiliary storage device 54 is a storage means such as a hard disk, and can store an execution program according to the present invention, a control program provided in a computer, the above-described various databases, and the like, and can perform input / output as necessary.

  Based on a control program such as an OS (Operating System) and an execution program read and stored by the memory device 55, the CPU 56 performs various operations and input / output of data with each hardware component, etc. Each process in the information presentation process can be realized by controlling the process. Various information necessary during the execution of the program can be acquired from the auxiliary storage device 54 and stored.

  The network connection device 57 obtains an execution program from another terminal connected to the communication network by connecting to a communication network or the like, or an execution result obtained by executing the program or an execution in the present invention The program can be provided to other terminals.

  With the hardware configuration as described above, the information presentation process described above can be realized at a low cost without requiring a special device configuration. In addition, the information presentation process can be easily realized by installing the program.

  Next, a processing procedure in the execution program will be described using a flowchart.

<Information presentation procedure>
FIG. 13 is a flowchart showing an example of information presentation processing in the present invention. In the process described later, a program presentation example is shown as an example of information, but the information presented in the present invention is not limited to this.

  In the information presentation process, it is first determined whether or not the user has input a keyword (S01). When there is a user input (YES in S01), an analogy word corresponding to the keyword input from the preliminarily accumulated analogical word group is extracted (S02). Note that the keyword input by the user and the analogy word extracted in S02 are the preference information.

  When no keyword is input from the user (NO in S01) or when the process of S02 is completed, it is determined whether or not the behavior information obtained by the user viewing the program has been acquired (S03). The behavior information is the information obtained by the above-described body information such as eye movement, pupil size, heart rate, blood pressure, program switching information, dialogue with a program agent, and the like.

  Here, when the behavior information for viewing the program is acquired (YES in S03), the weighting already added to the preference information related to the program for the obtained behavior information is updated (S04). Further, when the user is not watching the program, when there is no action information for watching the program (NO in S03), or when the process of S04 is completed, the user is based on the preference information from the previously stored program metadata group. The program is extracted (S05). In the process of S01, if there is no input from the user, the program can be extracted using a preset keyword or a new program with a production date as an extraction condition.

  For each program extracted in S05, a score for each program is calculated based on the weighting value set in S04 and the weighting value preset for each item included in the program metadata (S06). . Next, a program to be presented to the user is selected based on the extracted score for each program (S07), and the program is presented (S08).

  Here, it is determined whether or not to end the presentation of the program (S09), and when the presentation of the program is not ended (NO in S09), the process returns to S01 and continues. When the presentation of the program is terminated (YES in S09), the information presentation process is terminated. Thereby, the optimal program can be presented to the user using the preference information and the behavior information. In addition, the information presentation process can be easily realized by installing the execution program in the computer.

  As described above, according to the present invention, optimal information can be presented to the user. Specifically, since the analogy word is extracted from one keyword input by the user and the preference information is expanded using the keyword and the analogy word, the user does not need to input detailed information and information corresponding to the preference. Can be presented.

  Furthermore, since the preference information once created is updated (updated) when the user views the information, information more suitable for the user's preference can be quickly presented.

  Furthermore, since the information presentation order is updated each time a new program (information) is accumulated, time is not wasted and new information can be presented to the user quickly. From the above, it is possible to provide a variable information presentation system by applying the present invention.

  The preferred embodiments of the present invention have been described in detail above, but the present invention is not limited to such specific embodiments, and various modifications, within the scope of the gist of the present invention described in the claims, It can be changed.

It is a figure which shows the example of 1 structure of the information presentation apparatus in 1st Embodiment. It is a figure which shows the example of an output of the word in an analogy means. It is a figure which shows an example of program metadata. It is a figure which shows the example of a score calculation of a program. It is a figure which shows the example of a setting of the score result with respect to the extracted program, and the order of a presentation order. It is a figure which shows an example of the program production in this invention. It is a figure which shows an example of the relationship between a program viewing degree and a program interest degree. It is a figure which shows the example of a measurement of the program interest degree by the magnitude | size of a pupil. It is a figure which shows an example in which the weighting of the preference information before and after watching a program is updated. It is a figure which shows the example of an update of a program presentation order. It is a figure which shows the example of 1 structure of the information presentation apparatus in 2nd Embodiment. It is a figure which shows an example of the hardware constitutions which can implement | achieve the information presentation process in this invention. It is a flowchart which shows an example of the information presentation process in this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10,40 Information presentation system 11 User input means 12 Analogue means 13 Analogue dictionary database 14,42 Preference information generation means 15 Preference information database 16 Program selection means (information selection means)
DESCRIPTION OF SYMBOLS 17 Program database 18, 43 Program presentation means 19 Physical information detection means 20 Dialog detection means 21 Program change detection means 31 Automatic program production engine 32 TVML player 33 Monitor 41 Viewing history database 51 Input device 52 Output device 53 Drive device 54 Auxiliary storage device 55 Memory device 56 CPU
57 Network connection device 58 Recording medium

Claims (11)

In an information presentation device that presents information corresponding to a keyword input by a user,
Analogy means for extracting an analogy word based on the keyword from a presumed analogy word group;
Preference information generating means for generating preference information by adding weights to the keyword and the analogy word obtained by the analogy means;
Information selection for extracting information based on the preference information obtained by the preference information generation unit from the information metadata group stored in advance, and further selecting information to be presented to the user based on the weighting from the extracted information Means for presenting information.   The information presentation apparatus according to claim 1, further comprising physical information detection means for detecting physical information during presentation of a user who is presenting the information.   The information presentation device according to claim 1, further comprising dialogue detection means for detecting dialogue information performed on information being presented by a user who is presenting the information.   The information presentation according to any one of claims 1 to 3, further comprising change detection means for detecting change information obtained by changing information being presented by a user who is presenting the information. apparatus. The preference information generating means
Updating the weights of the already added keyword and the analogy word based on the preference information and action information including any one of the body information, the dialogue information, and the change information. The information presentation apparatus according to any one of claims 1 to 4, wherein the information presentation apparatus is characterized. The information selection means includes
A weight is set in advance for each data item included in the information metadata, and information extracted based on the weight value for each data item and the weight value added to the keyword and the analogy word 6. The information presentation apparatus according to claim 1, wherein a score for each is calculated. The information selection means includes
The information is extracted and the information to be presented is selected every time new information metadata is added to a previously stored information metadata group. Information presentation device. The body information detecting means includes
The information presentation apparatus according to claim 2, wherein at least one piece of information is detected as physical information among the user's eye direction, pupil size, blood pressure, pulse, and heart rate. The dialogue detection means includes
The information presentation apparatus according to claim 3, wherein at least one piece of information is detected as dialogue information among a dialogue time, a dialogue count, and a dialogue content for a dialogue target. The change detecting means includes
The information presentation apparatus according to claim 4, wherein a viewing degree obtained from a preset information presentation time and a time until the user changes the information is detected as change information. In an information presentation program for causing a computer to execute processing for presenting information corresponding to a keyword input by a user,
Analogy processing for extracting analogy words based on the keywords from analogy word groups stored in advance;
Preference information generation processing for generating preference information by adding weights to the keyword and the analogy word obtained by the analogy processing;
Information selection for extracting information based on the preference information obtained by the preference information generation process from the pre-stored information metadata group, and further selecting information to be presented to the user based on the weighting from the extracted information An information presentation program for causing a computer to execute processing.

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