WO2018216271A1 - 情報処理装置、情報処理方法、およびプログラム - Google Patents
情報処理装置、情報処理方法、およびプログラム Download PDFInfo
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- WO2018216271A1 WO2018216271A1 PCT/JP2018/005322 JP2018005322W WO2018216271A1 WO 2018216271 A1 WO2018216271 A1 WO 2018216271A1 JP 2018005322 W JP2018005322 W JP 2018005322W WO 2018216271 A1 WO2018216271 A1 WO 2018216271A1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
- G06F16/9032—Query formulation
- G06F16/90332—Natural language query formulation or dialogue systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
- G06F16/9035—Filtering based on additional data, e.g. user or group profiles
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
- G06F16/9038—Presentation of query results
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
Definitions
- the present disclosure relates to an information processing apparatus, an information processing method, and a program.
- Patent Document 1 information that may explicitly indicate the user's preference is explicitly indicated as the user's preference information used for recommendation. It is disclosed that it is used after being converted to.
- control for controlling to present recommended information of recommended items having a determiner in the vicinity among recommended items of information recommended to a group to which one or more users existing in the identified vicinity belong An information processing apparatus including a unit is proposed.
- the processor presents recommended information of recommended items having a determiner in the vicinity of recommended items of information recommended to a group to which one or more users existing in the identified vicinity belong.
- An information processing method including controlling is proposed.
- FIG. 1 is a diagram illustrating an overview of an information processing system according to an embodiment of the present disclosure.
- the information processing system according to the present embodiment includes a terminal device 1 that can present information by voice and a server 2.
- the terminal device 1 and the server 2 are connected via the network 3.
- the terminal device 1 has an agent function for realizing a voice conversation with a user. Specifically, it has a voice input unit 12 (see FIG. 2) and a voice output unit 14 (see FIG. 2), and can collect user utterances and output agent voices. For example, the terminal device 1 can access the weather information service via the network 3 when the user asks about tomorrow's weather, obtain tomorrow's weather information, and present the voice information.
- the terminal device 1 may further include one or more cameras 13 and a light emitting unit 15 as shown in FIG.
- the present embodiment has a client-server system configuration as shown in FIG. 1.
- the present disclosure is not limited to this, and all processing may be performed on the client side. Processing may be distributed using an apparatus.
- the convenience of the recommendation system is further improved by controlling the presentation content and the timing of information presentation according to the “combination of group members” and the “presence / absence of the decision maker”. It is possible to increase the decision rate.
- FIG. 2 is a block diagram illustrating an example of the configuration of the terminal device 1 according to the present embodiment.
- the terminal device 1 (an example of an information processing device) includes a control unit 10, a communication unit 11, a voice input unit 12, a camera 13, a voice output unit 14, a light emitting unit 15, a projection unit 16, and a storage. Part 17.
- the control unit 10 functions as an arithmetic processing device and a control device, and controls the overall operation in the terminal device 1 according to various programs.
- the control unit 10 is realized by an electronic circuit such as a CPU (Central Processing Unit) or a microprocessor, for example.
- the control unit 10 may include a ROM (Read Only Memory) that stores programs to be used, calculation parameters, and the like, and a RAM (Random Access Memory) that temporarily stores parameters that change as appropriate.
- control unit 10 transmits a voice signal (for example, a user's speech) output from the voice input unit 12 or a captured image (for example, a user's face image) captured by the camera 13 to a communication unit. 11 to send control to the server 2.
- a voice signal for example, a user's speech
- a captured image for example, a user's face image
- the format of the data to be transmitted is not particularly limited, and the original data may be transmitted, or may be appropriately processed and transmitted. Examples of processing are assumed to be compression, extraction of feature values, change to another format, and the like.
- the voice input unit 12 collects user voice and surrounding environmental sounds, and outputs a voice signal to the control unit 10.
- the voice input unit 12 is realized by a microphone, an amplifier, and the like.
- the voice input unit 12 may be realized by a microphone array including a plurality of microphones.
- the camera 13 photoelectrically converts imaging light obtained by a lens system including an imaging lens, a diaphragm, a zoom lens, and a focus lens, a drive system that causes the lens system to perform a focus operation and a zoom operation, and the lens system.
- a solid-state image pickup device array for generating an image pickup signal.
- the solid-state imaging device array may be realized by, for example, a CCD (Charge Coupled Device) sensor array or a CMOS (Complementary Metal Oxide Semiconductor) sensor array.
- the storage unit 17 is realized by a ROM (Read Only Memory) that stores a program used for the processing of the control unit 10, an operation parameter, and the like, and a RAM (Random Access Memory) that temporarily stores a parameter that changes as appropriate.
- ROM Read Only Memory
- RAM Random Access Memory
- the structure of the terminal device 1 is not limited to the example shown in FIG. 2, For example, you may further have various sensors, such as a human sensor, a biosensor, an acceleration sensor, a gyro sensor, or a position sensor.
- the terminal device 1 may be provided with operation input units such as a power switch and a volume adjustment operation unit.
- the terminal device 1 may further be provided with an operation interface such as a touch sensor, a pressure sensor, or a proximity sensor.
- the terminal device 1 may further include a display unit and display an image that is an example of the presentation information received from the server 2.
- the configuration of the terminal device 1 may be provided in the external device.
- the voice input unit 12 or the camera 13 may be provided in a peripheral external device, or speech sound or a captured image received from a peripheral external device may be further used.
- the control unit 20 functions as an arithmetic processing device and a control device, and controls the overall operation in the server 2 according to various programs.
- the control unit 20 is realized by an electronic circuit such as a CPU (Central Processing Unit) and a microprocessor, for example.
- the control unit 20 may include a ROM (Read Only Memory) that stores programs to be used, calculation parameters, and the like, and a RAM (Random Access Memory) that temporarily stores parameters that change as appropriate.
- control unit 20 also functions as a voice recognition unit 201, a user identification unit 202, a recommended content determination unit 203, an information presentation control unit 204, and a feedback acquisition unit 205.
- the user identification unit 202 identifies users who are around the terminal device 1. Specifically, for example, a voice print analysis may be performed on an audio signal (user's uttered voice) transmitted from the terminal device 1 to identify the user (speaker identification), or the periphery captured by the terminal device 1 The user may be specified by performing face recognition of a person shown in the image. User voice print information and face information may be stored in the storage unit 22.
- the recommended content determination unit 203 has a function of determining the content of information recommended to the user (recommendation information).
- the recommended content determination unit 203 considers who is in the vicinity of the terminal device 1 and the members of the group that includes the user, and the recommended content for a plurality of users (the group that includes the user). Can be determined.
- the recommendation information may be extracted from the storage unit 22 or may be acquired from another server via the network 3. A more specific recommendation content determination method will be described later with reference to FIGS. Although it has been described here that the recommended content for a plurality of users (that is, groups) is determined, the present embodiment is not limited to this, and the recommended content for individual users can naturally be determined. At this time, the recommended content determination unit 203 can appropriately determine the recommended content based on personal preference information and the like.
- the information presentation control unit 204 performs control to transmit the recommendation information to the terminal device 1 via the communication unit 21 so as to present the recommendation information determined by the recommendation content determination unit 203 to the user.
- the present embodiment mainly describes presentation of recommended content, the present embodiment is not limited to this, and the control unit 20 can also generate a response voice to the user's utterance.
- the response sentence may be generated according to a response sentence generation rule set in advance, or may be generated using a response sentence generation model constructed by machine learning.
- the information presentation control unit 204 can control the generated response voice to be transmitted to the terminal device 1 via the communication unit 21.
- the feedback acquisition unit 205 acquires feedback (decision, approval, disagreement, etc.) by the user with respect to the recommendation information proposed to the user, and stores the feedback content in the storage unit 22.
- the communication unit 21 is connected to the network 3 by wire or wirelessly, and transmits / receives data to / from each terminal device 1 via the network 3.
- the communication unit 21 is connected to the network 3 by, for example, a wired / wireless LAN (Local Area Network) or Wi-Fi (Wireless Fidelity, registered trademark).
- the storage unit 22 is realized by a ROM that stores programs and calculation parameters used for the processing of the control unit 20, and a RAM that temporarily stores parameters that change as appropriate.
- the storage unit 22 according to the present embodiment stores user information, group information, recommendation information (content), feedback details, response sentence generation rules, and the like.
- the configuration of the server 2 according to the present embodiment has been specifically described above.
- the configuration of the server 2 is not limited to the example shown in FIG.
- at least a part of the configuration of the server 2 may be provided in an external device, or at least a part of each function of the control unit 20 is used for the terminal device 1 or an information processing terminal (so-called “communication distance” relatively close to the terminal device 1).
- You may provide in an edge server etc.).
- by appropriately distributing the components of the terminal device 1 it is possible to improve real-time performance, reduce processing load, and ensure security.
- FIG. 4 is a flowchart showing information presentation processing according to the first embodiment.
- the server 2 analyzes the captured image transmitted from the terminal device 1 to detect that there is a person around the terminal device 1 (step S103), and all users located in the vicinity. Is identified (step S106). Specifically, the user identification unit 202 analyzes the face of the person shown in the captured image and identifies the user.
- the recommended content determination unit 203 of the server 2 determines the priority of the recommended item for the combination of users existing in the vicinity (step S109). Specifically, the recommended content determination unit 203 refers to group information stored in the storage unit 22 based on a combination of users existing in the vicinity, and determines a group to which one or more users existing in the vicinity belong. The priority of each recommended item corresponding to the combination (of the presence person) in the group is acquired. The priority of each recommended item according to the (existence) combination in the group can be set in advance.
- FIG. 5 shows an example of the priority of each recommended item according to the (existence) combination in the group.
- the priority of information recommendation of “excursions” is the highest, followed by “recipe”, “music”, and “shopping”.
- the priority of the recommendation information can also be dynamically changed as appropriate by the server 2 based on the change of the determiner, the conversation history, the determination history, and the like. For example, when the mother and the child talk about music well, the server 2 increases the priority of “music” in the combination of the mother and the child.
- the content of the recommendation corresponding to each recommendation item may be updated as appropriate.
- the server 2 may periodically acquire one or more recommended contents related to “music” (every week, this week's top 10 sales etc.) and update it.
- a numerical value indicating “decision-likeness” may be indicated by a point, and 10 or more points may be regarded as a determiner of the item (see the highlighted portion shown in FIG. 6).
- the numerical value indicating the “decision-likeness” can be increased or decreased based on who is the actual determiner of the recommended content acquired by the feedback acquisition unit 205 of the server 2. A specific example of the decision action will be described later.
- the information presentation control unit 204 of the server 2 controls to notify the recommended content to the peripheral users (step S115). Specifically, the information presentation control unit 204 receives recommended information that is a recommended item having a high priority determined according to the combination of the users at the location and has a determiner of the recommended item. And control to present to the user.
- the feedback acquisition unit 205 stores the feedback content in the storage unit 22 for each user (step S121). Specifically, the feedback acquisition unit 205 stores, for example, who uttered (answered) what and who reacted. The feedback acquisition unit 205 can also acquire user preference information based on feedback content.
- the feedback acquisition unit 205 stores, for example, who uttered (answered) what and who reacted.
- the feedback acquisition unit 205 can also acquire user preference information based on feedback content.
- an example will be given of a case where it is determined that there is “preference” and a case where it is determined that there is “no preference”.
- the feedback acquisition unit 205 updates the determiner for the presented recommended item (step S127). Specifically, the feedback acquisition unit 205 performs control so as to increase the numerical value of “determinedness” for the recommended item associated with the current determiner by a predetermined point. Note that the recommended content for the decision action may be appropriately executed on the terminal device 1 side or may be appropriately executed on the server 2 side.
- the recommended content determination unit 203 checks whether there is a determiner of the next highest priority recommended item when there is no determiner of the highest recommended item according to a combination of users in the vicinity. You may do it.
- the presentation process according to the present embodiment may be performed when the amount of recommended information is large (that is, when there is a large amount of recommended information, priority is given to recommendation information that has a determiner and increases the decision rate). It is possible to present it manually).
- recommendation information for individuals may be presented.
- one user can belong to multiple groups.
- FIG. 7 is a flowchart showing information presentation processing according to the present embodiment.
- the server 2 analyzes the captured image transmitted from the terminal device 1 to detect that there is a person around the terminal device 1 (step S ⁇ b> 203), and all users located in the vicinity. Is identified (step S206).
- the user identification unit 202 analyzes the face of the person shown in the captured image and identifies the user.
- the recommended content determination unit 203 of the server 2 determines the priority of the recommended item for the combination of users existing in the vicinity (step S209).
- the information presentation control unit 204 of the server 2 controls to notify the recommended content to the peripheral users (step S212). Only the recommendation information of the recommendation item with the highest priority may be notified, or the recommendation information of the upper predetermined number of recommendation items may be notified.
- the feedback acquisition unit 205 stores the feedback content for each user in the storage unit 22 (step S218).
- the feedback acquisition unit 205 determines whether or not there is a determination action by the determiner for the recommended content (presented content) (step S221).
- the “decision person” is considered to be a user who has a high “determining person” in the recommended recommendation item. Also, decision actions other than those who decide are not accepted.
- step S224 when there is an action for determining the recommended content by the determiner (step S221 / Yes), the feedback acquisition unit 205 updates the determiner for the presented recommended item (step S224).
- the recommended content determination unit 203 determines whether or not the determiner of the recommended information is around. A determination is made (step S230).
- the server 2 performs a process of leaving a history as undecided recommended information.
- step S230 when the determiner of recommended information is in the vicinity (step S230 / Yes), the information presentation control unit 204 notifies the determiner of the recommended information and the feedback of the other person (step S233). As a result, the determiner can quickly determine the decision with reference to the reactions of other users.
- FIG. 8 shows an example of a dialogue sequence between the user and the terminal device 1 in the present embodiment.
- the terminal device 1 when there is a user “Yuri” who is a determiner of an undecided recommended item “recipe”, for example, the terminal device 1 has other users (for example, children “Yuta-kun” and “Ayaka” ("Chan”) recommended information ("I recommended curry for dinner !), and feedback ("Both of them said this dry curry was good”) The contents are notified (for example, a dry curry image 160 is projected as shown in FIG. 8).
- the terminal device 1 presents the contents of the recipe in accordance with the instruction of the user “Mr. Yuri” (for example, the recipe image 161 is projected as shown in FIG. 8), and the determination is made such as “put it in the shopping list”.
- execution processing such as putting the ingredients presented in the recipe into the shopping list is performed.
- the opportunity for recommendation information to be presented in the absence of a determiner is reduced, so it is possible to avoid repeatedly recommending “contents that cannot be determined but cannot be determined”. Become.
- the user who has received the recommendation since the opportunity for the recommendation information to be presented in the absence of the determiner is reduced, the user who has received the recommendation once remembers when the determiner is present again and tells the determiner, Eliminates the hassle of taking out recommended content that you have saved and explaining it to the decision-maker.
- An information processing system comprising a control unit that controls to present recommendation information of recommended items having a determiner in the vicinity of recommended items of information recommended to a group to which one or more users existing in the vicinity belong apparatus.
- the information processing apparatus according to (1) wherein the control unit performs control so as not to present recommendation information of recommended items for which a determiner does not exist in the vicinity.
- the control unit performs control so as to store feedback from a nearby user to the recommended information when the recommended information of the recommended item corresponding to the determiner is presented in a state where the determiner is not present in the vicinity.
- the control unit controls to present the recommended recommendation information and feedback for the stored recommendation information when a decision maker corresponding to the recommendation information is identified in the vicinity when there is unrecommended recommended recommendation information.
- the information processing apparatus according to (3).
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Abstract
Description
1.本開示の一実施形態による情報処理システムの概要
2.構成
2-1.端末装置の構成
2-2.サーバの構成
3.各実施例
3-1.第1の実施例
3-2.第2の実施例
4.まとめ
図1は、本開示の一実施形態による情報処理システムの概要について説明する図である。図1に示すように、本実施形態による情報処理システムは、音声により情報提示を行い得る端末装置1と、サーバ2とを含む。端末装置1およびサーバ2はネットワーク3を介して接続される。
<2-1.端末装置1の構成>
図2は、本実施形態による端末装置1の構成の一例を示すブロック図である。図2に示すように、端末装置1(情報処理装置の一例)は、制御部10、通信部11、音声入力部12、カメラ13、音声出力部14、発光部15、投影部16、および記憶部17を有する。
通信部11は、有線または無線によりネットワーク3と接続し、ネットワーク上のサーバ2とデータの送受信を行う。通信部11は、例えば有線/無線LAN(Local Area Network)、またはWi-Fi(登録商標)、携帯通信網(LTE(Long Term Evolution)、3G(第3世代の移動体通信方式))等によりネットワーク3と通信接続する。
音声入力部12は、ユーザ音声や周辺の環境音を収音し、音声信号を制御部10に出力する。具体的には、音声入力部12は、マイクロホンおよびアンプ等により実現される。また、音声入力部12は、複数のマイクロホンから成るマイクアレイにより実現されてもよい。
カメラ13は、撮像レンズ、絞り、ズームレンズ、およびフォーカスレンズ等により構成されるレンズ系、レンズ系に対してフォーカス動作やズーム動作を行わせる駆動系、レンズ系で得られる撮像光を光電変換して撮像信号を生成する固体撮像素子アレイ等を有する。固体撮像素子アレイは、例えばCCD(Charge Coupled Device)センサアレイや、CMOS(Complementary Metal Oxide Semiconductor)センサアレイにより実現されてもよい。
音声出力部14は、音声信号を再生するスピーカと、スピーカに対するアンプ回路を有する。
発光部15は、LED(Light Emitting Diode)等により光を発生させる構造を有する。発光部15は、制御部10の制御に従って、点灯、消灯、点滅等を行い得る。また、発光部15は、点灯時の光の色や輝度も調整可能である。発光部15の点灯状態により、例えば端末装置1がスタンバイ中であることや、電源がOFFになっていることを周囲に知らせることができる。
投影部16は、画像を壁や天井、スクリーン等に投影する機能を有する。
記憶部17は、制御部10の処理に用いられるプログラムや演算パラメータ等を記憶するROM(Read Only Memory)、および適宜変化するパラメータ等を一時記憶するRAM(Random Access Memory)により実現される。
図3は、本実施形態によるサーバ2の構成の一例を示すブロック図である。図3に示すように、サーバ2(情報処理装置の一例)は、制御部20、通信部21、および記憶部22を有する。
制御部20は、演算処理装置および制御装置として機能し、各種プログラムに従ってサーバ2内の動作全般を制御する。制御部20は、例えばCPU(Central Processing Unit)、マイクロプロセッサ等の電子回路によって実現される。また、制御部20は、使用するプログラムや演算パラメータ等を記憶するROM(Read Only Memory)、及び適宜変化するパラメータ等を一時記憶するRAM(Random Access Memory)を含んでいてもよい。
通信部21は、有線または無線によりネットワーク3と接続し、ネットワーク3を介して各端末装置1とデータの送受信を行う。通信部21は、例えば有線/無線LAN(Local Area Network)、またはWi-Fi(Wireless Fidelity、登録商標)等によりネットワーク3と通信接続する。
記憶部22は、制御部20の処理に用いられるプログラムや演算パラメータ等を記憶するROM、および適宜変化するパラメータ等を一時記憶するRAMにより実現される。例えば本実施形態による記憶部22は、ユーザ情報、グループ情報、推薦情報(コンテンツ)、フィードバック内容、応答文生成ルール等を格納する。
続いて、本実施形態による情報処理システムについて複数の実施例を用いて具体的に説明する。
まず、図4を参照して第1の実施例による情報提示処理について説明する。第1の実施例では、決定者がその場にいる時にだけ推薦を行うことで、決定率を上げることを可能とする。図4は、第1の実施例による情報提示処理を示すフローチャートである。
・端末装置1、投影画面、または表示画面を見る、見続ける行動
・端末装置1、投影画面、または表示画面に近づいてくる行動
・詳細内容を提示するように指示する行動(例えば、「1番を見せて」(ある推薦項目についての推薦情報を番号を付けて複数列挙した場合)、「今の詳しく聞かせて」等)
・別の機器で見たり聴いたりできるように指示する行動(例えば、「これをスマートフォンに送って」、「それをテレビに出して」、「キッチンのスピーカから流して」等)
・別のアプリケーションに提示内容を登録するよう指示する行動(例えば、「そのイベントをカレンダーに登録しておいて」、「このレシピの食材を買物リストに入れておいて」等)
・音楽や映像が推薦された場合に、再生するよう指示する行動。また、一旦再生させた後に停止しなかった行動(最後まで視聴した場合)
・提示内容に対してポジティブな感想を言った場合(例えば、「それいいね」、「おもしろそう」、「これ好きだな」等)
・端末装置1、投影画面、または表示画面を見ない行動
・提示や再生をやめるように指示する行動(例えば、「画面を消して」、「それはもういいよ」、「静かにして」、「止めて」等)
・提示内容に対してネガティブな感想を言った場合(例えば、「これじゃないな」、「これあんまり好きじゃないな」等)
・推薦された動画や音楽コンテンツの「再生」の指示(音声操作/GUI操作)
・推薦された行楽情報の「予約」「カレンダーへの登録」「お気に入り登録」の指示
・推薦されたレシピの「お気に入り登録」「プリント」の指示
・推薦された商品(本、食材、衣料品、日用品など)の「購入」の指示
・推薦された経路情報の「スマートフォン等のナビゲーション装置への転送」「ナビゲーションの開始」の指示
続いて、図7を参照して第2の実施例について説明する。第2の実施例では、決定者がその場にいない場合でも、推薦内容を通知し、その後決定者を発見した際に当該推薦内容と他のユーザのフィードバックを通知することで、決定者が他のユーザの意見を参照して決定判断をスムーズに行えるようにサポートすることを可能とする。
上述したように、本開示の実施形態による情報処理システムでは、複数ユーザ向けの推薦情報を決定者が居る際に提示し、決定率を上げることが可能となる。
(1)
識別された周辺に存在する1以上のユーザが所属するグループに推薦する情報の推薦項目のうち、周辺に決定者が存在する推薦項目の推薦情報を提示するよう制御する制御部を備える、情報処理装置。
(2)
前記制御部は、周辺に決定者が存在しない推薦項目の推薦情報は提示しないよう制御する、前記(1)に記載の情報処理装置。
(3)
前記制御部は、周辺に決定者が存在しない状態において当該決定者に対応する推薦項目の推薦情報を提示した場合、当該推薦情報への周辺ユーザによるフィードバックを保存するよう制御する、前記(1)に記載の情報処理装置。
(4)
前記制御部は、未決の推薦済み推薦情報がある場合、当該推薦情報に対応する決定者を周辺に識別した際、当該推薦済み推薦情報と、保存した当該推薦情報に対するフィードバックを提示するよう制御する、前記(3)に記載の情報処理装置。
(5)
前記制御部は、周辺に存在する複数のユーザの組み合わせに応じて推薦項目の優先度を決定する、前記(1)~(4)のいずれか1項に記載の情報処理装置。
(6)
前記制御部は、会話履歴または決定履歴に基づいて、前記推薦項目の優先度を変更する、前記(5)に記載の情報処理装置。
(7)
前記制御部は、前記優先度に応じて提示する推薦項目を決定する、前記(5)または(6)に記載の情報処理装置。
(8)
前記制御部は、各ユーザの決定者らしさに従って決定者を判断する、前記(1)~(7)のいずれか1項に記載の情報処理装置。
(9)
前記決定者らしさは、決定履歴に従って算出されるスコアに基づいて判断される、前記(8)に記載の情報処理装置。
(10)
前記制御部は、決定者からの決定アクションに対してのみ決定処理を行うよう制御する、前記(1)~(9)のいずれか1項に記載の情報処理装置。
(11)
プロセッサが、
識別された周辺に存在する1以上のユーザが所属するグループに推薦する情報の推薦項目のうち、周辺に決定者が存在する推薦項目の推薦情報を提示するよう制御することを含む、情報処理方法。
(12)
コンピュータを、
識別された周辺に存在する1以上のユーザが所属するグループに推薦する情報の推薦項目のうち、周辺に決定者が存在する推薦項目の推薦情報を提示するよう制御する制御部として機能させるための、プログラム。
2 サーバ
3 ネットワーク
10 制御部
11 通信部
12 音声入力部
13 カメラ
14 音声出力部
15 発光部
16 投影部
17 記憶部
20 制御部
21 通信部
22 記憶部
201 音声認識部
202 ユーザ特定部
203 推薦内容決定部
204 情報提示制御部
205 フィードバック取得部
Claims (12)
- 識別された周辺に存在する1以上のユーザが所属するグループに推薦する情報の推薦項目のうち、周辺に決定者が存在する推薦項目の推薦情報を提示するよう制御する制御部を備える、情報処理装置。
- 前記制御部は、周辺に決定者が存在しない推薦項目の推薦情報は提示しないよう制御する、請求項1に記載の情報処理装置。
- 前記制御部は、周辺に決定者が存在しない状態において当該決定者に対応する推薦項目の推薦情報を提示した場合、当該推薦情報への周辺ユーザによるフィードバックを保存するよう制御する、請求項1に記載の情報処理装置。
- 前記制御部は、未決の推薦済み推薦情報がある場合、当該推薦情報に対応する決定者を周辺に識別した際、当該推薦済み推薦情報と、保存した当該推薦情報に対するフィードバックを提示するよう制御する、請求項3に記載の情報処理装置。
- 前記制御部は、周辺に存在する複数のユーザの組み合わせに応じて推薦項目の優先度を決定する、請求項1に記載の情報処理装置。
- 前記制御部は、会話履歴または決定履歴に基づいて、前記推薦項目の優先度を変更する、請求項5に記載の情報処理装置。
- 前記制御部は、前記優先度に応じて提示する推薦項目を決定する、請求項5に記載の情報処理装置。
- 前記制御部は、各ユーザの決定者らしさに従って決定者を判断する、請求項1に記載の情報処理装置。
- 前記決定者らしさは、決定履歴に従って算出されるスコアに基づいて判断される、請求項8に記載の情報処理装置。
- 前記制御部は、決定者からの決定アクションに対してのみ決定処理を行うよう制御する、請求項1に記載の情報処理装置。
- プロセッサが、
識別された周辺に存在する1以上のユーザが所属するグループに推薦する情報の推薦項目のうち、周辺に決定者が存在する推薦項目の推薦情報を提示するよう制御することを含む、情報処理方法。 - コンピュータを、
識別された周辺に存在する1以上のユーザが所属するグループに推薦する情報の推薦項目のうち、周辺に決定者が存在する推薦項目の推薦情報を提示するよう制御する制御部として機能させるための、プログラム。
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JP2019519463A JP7070563B2 (ja) | 2017-05-24 | 2018-02-15 | 情報処理装置、情報処理方法、およびプログラム |
EP18806121.2A EP3633582A1 (en) | 2017-05-24 | 2018-02-15 | Information processing device, information processing method, and program |
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