JP2019032857A5

JP2019032857A5 - Support system

Info

Publication number: JP2019032857A5
Application number: JP2018175586A
Authority: JP
Filing date: 2018-09-20
Publication date: 2019-07-04
Anticipated expiration: 2034-08-27

Description

本発明は、ユーザが自己向上のために繰り返し行うプラクティスを人工知能を利用して支援する支援システムに関する。 The present invention relates to a support system that uses artificial intelligence to support practices that users repeatedly perform to improve themselves .

本発明は、かかる実情に鑑み考え出されたものであり、その目的は、機械学習の結果の一般的なモデルを用いたサービスがユーザにマッチしない場合が生じる不都合を解決することである。 The present invention has been devised in view of such circumstances, and its object is to service using the generic model results of the machine learning to solve the inconvenience that may not match the user occurs.

本発明は、ユーザが自己向上のために繰り返し行うプラクティス（例えば、暗記学習、筋トレ等）を人工知能を利用して支援する支援システム（例えば、図９と図１０等）であって、
前記プラクティスを行う複数のユーザのデータを収集するデータ収集手段（例えば、Ｓ１８２、Ｓ２１１等）と、
前記データ収集手段により収集された複数ユーザ分のデータに基づいて機械学習（例えば、強化学習、回帰等）を行うことにより生成された一般的モデル（例えば、暗記学習モデルTi=T₀・i、筋トレモデルFi=F₀+(i-1)/a等）を記憶する記憶手段（例えば、人工知能ＤＢ１７等）と、
前記記憶手段に記憶された一般的モデルと前記データ収集手段により収集されたユーザ１人分の個別データとに基づいて、当該個別ユーザにパーソナライズ化されたパーソナライズデータを生成し、当該個別ユーザが繰り返しプラクティスを行う際の実行すべきプラクティス内容を特定するパーソナライズ化手段（例えば、Ｓ１９１とＳ２０４、Ｓ２２３とＳ２２８等）と、
前記個別ユーザが前記特定されたプラクティス内容を行うためのサービス（例えば、最も効率的な復習計画に基づいた学習事項の提供、最も効率的な筋トレ計画に基づいた筋トレメニューの提供等）を提供するサービス提供手段（例えば、Ｓ２０６、Ｓ２２９等）と、を備え、
前記一般的モデルは、前記繰り返し行うプラクティスを効率化するために生成された複数のユーザに当てはまるモデル（例えば、図１５の暗記学習モデルTi=T ₀ ・i、筋トレモデルFi=F ₀ +（i-1)/a等）であり、
前記パーソナライズデータは、前記個別ユーザが前記繰り返し行うプラクティスを効率化するために生成された当該個別ユーザ専用のデータである（例えば、Ｓ２０４、Ｓ２２８等）。 The present invention allows a user practices repeated for self improvement (e.g., rote learning, muscle training, etc.) The assistance system for the using artificial intelligence support (e.g., FIGS. 9 and 10, etc.),
Data collection means (for example, S182, S211, etc.) for collecting data of a plurality of users who perform the practice;
A general model (for example, memorizing learning model Ti = T ₀ · i, generated by performing machine learning (for example, reinforcement learning, regression, etc.) based on data for a plurality of users collected by the data collection means Storage means (for example, artificial intelligence DB 17 etc.) for storing the muscle training model Fi = F ₀ + (i-1) / a etc. , and
Based on the individual data of the user 1 persons collected by the data collecting means and the general model stored in the storage means, generates a personalized data personalized to the individual user, the individual user repeatedly Personalizing means (for example, S191 and S204, S223 and S228, etc.) for specifying the content of the practice to be performed when performing the practice ;
Services for the individual user to perform the contents of the specified practice (eg, provision of learning items based on the most efficient review plan, provision of a muscle training menu based on the most efficient muscle training plan, etc.) Service providing means (eg, S206, S229, etc.) to be provided;
The general model is a model that applies to a plurality of users generated to streamline the repetitive practice (for example, the memorization learning model Ti = T ₀ · i, muscle training model Fi = F ₀ + ( FIG. 15 ) i-1) / a etc),
The personalization data is data dedicated to the individual user, which is generated to streamline the practice that the individual user performs repeatedly (for example, S204, S228, etc.).

このような構成によれば、機械学習の結果の一般的モデルを用いたサービスがユーザにマッチしない場合が生じる不都合を解決することができる。 According to such a configuration, it is possible to solve the inconvenience that the service using the general model of the result of machine learning does not match the user.

好ましくは、前記データ収集手段は、前記複数のユーザ（例えば、図９の各ユーザ７０等）から直接送られてくる当該各ユーザのデータを収集する。 Preferably, the data collection means collects data of each of the users directly sent from the plurality of users (for example, each user 70 of FIG. 9, etc.).

好ましくは、前記データ収集手段は、前記プラクティスをユーザに提供する専門業者（例えば、図９の専門業者７１等）から送られてくる複数のユーザのデータを収集する。 Preferably, the data collection means collects data of a plurality of users sent from a specialized vendor (for example, the specialized vendor 71 in FIG. 9 or the like) that provides the user with the practice.

Claims

A support system that uses artificial intelligence to support practices that users repeatedly perform to improve themselves,
Data collection means for collecting data of a plurality of users who perform the practice;
Storage means for storing a general model generated by performing machine learning based on data for a plurality of users collected by the data collection means;
Based on the individual data of the user 1 persons collected by the data collecting means and the general model stored in the storage means, generates a personalized data personalized to the individual user, the individual user repeatedly Personalization means to identify the content of the practice to be performed when doing the practice, and
Service providing means for providing a service for the individual user to perform the specified content of the practice ;
The general model is a model that applies to a plurality of users generated to streamline the recurring practice,
The support system , wherein the personalization data is data dedicated to the individual user, which is generated to streamline the repeated practice of the individual user .

The support system according to claim 1, wherein the data collection means collects data of each of the users directly sent from the plurality of users .

The support system according to claim 1 , wherein said data collection means collects data of a plurality of users sent from specialists who provide said practices to the users .