JP5260066B2 - 自動リーディングシステムおよび方法 - Google Patents
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Description
図1は、第1実施例に係る自動リーディングシステム100の機能図である。自動リーディングシステム100は、クライアント装置104およびサーバ装置106を含む。ユーザ102は、クライアント装置104にアクセスすることができる。例えば、ユーザ102は形式的プログラムにおいては、学生(子供または成人)であっても良く、その人は、彼または彼女のリーディング技能を正式な指示なく向上させることに興味がある人で、または単にリーディング経験を改善するための技術を使用することに興味があるだけである人である。
クライアント装置104は、ディスプレイ110および音声検出器112を含むことができる。クライアント装置104は、図1で示す単一の装置であってもよい。あるいは、ディスプレイ110および音声検出器112は、別々の装置であってもよい。クライアント装置102は、好ましくはメモリを含む。クライアント装置104は、図1において、単純な矩形の箱として表しているが、クライアント装置104が1から次の実施例において、取ることのできる、異なる形式の種類を強調することを示す。
サーバ装置106は、ソフトウェア、ハードウェアおよび/またはファームウェアの組合せを含むコンピュータによって、動作するシステムであってもよい。
音声認識システム202は、テキストを読んでいるユーザ102の音声を表す信号を受信できる。音声認識システム202は、ソフトウェアで実装されることができる。あるいは、音声認識システム202はソフトウェア、ハードウェアおよび/またはファームウェアの組合せであってもよい。例えば、音声認識システム202は、マイクロソフトにより所有されて、ケンブリッジ大学技術部のウェブページ(http:Hhtk.eng.cam.ac.uk)から、自由なダウンロードに使えるHTKソフト製品であってもよい。音声認識システム202は、評価装置204に音声の言語内容の推定を提供できる。
評価装置204は、ソフトウェアで実装されることができる。あるいは、評価装置204は、ソフトウェア、ハードウェアおよび/またはファームウェアの組合せであってもよい。評価装置204は、例えば音声認識システム202により提供される言語推定を評価する項目反応理論(Item Response Theory)などの統計分析を使用できる。項目反応理論に関する詳細は、Linda Crocker、James Algina、Harcourt Brace Jovanovich College Publishersによって、書かれた「Introduction to Classical and Modem Test Theory」(1986)第15章、Benjamin D. Wright and Mark H. Stoneによる「Best Test Design、 Rasch Measurement,」Mesaプレス、シカゴ、イリノイ(1979)に記載されており、ともにその内容は本願明細書に引用したものとする。
推薦装置206は、ソフトウェアで実行される。あるいは、推薦装置206は、ソフトウェア、ハードウェアおよび/またはファームウェアの組合せであってもよい。
図3は、他の実施例に係る自動リーディングシステム300の機能図である。自動リーディングシステム300は、そして、図1に示した自動リーディングシステム100のクライアント装置104およびサーバ装置106のネットワークインタフェース以外の機能の全てを、実質的に含むユーザ装置304を含む。
図4は、自動リーディングシステムを使用する方法400を例示している簡単なフロー図である。方法400はユーザがすでに自動リーディングシステムにアクセスし、システムはユーザのリーディング技術プロフィールを評価する準備が整っていると仮定する。
推薦装置206は、ユーザがリーディングしている電子ブックのレベルプロフィールを調整できる。この調整は、簡単にリーディングするユーザ102のための本のレベルプロフィールを増やすか、または、ユーザ102がテキストで苦労している本のレベルプロフィールを減少させることのいずれかである。調整は、項目スコアに基づいて作成されても良い。調整は、一つ以上のリーディング技術要因に基づいて作成されても良い。しかし、全ての実施例が、この機能を提供できるというわけでない。例えば、ユーザ102が電話で本から読む場合、自動リーディングシステム100はユーザ102が読んでいる本のバージョンを変えることができない。
推薦装置206は、ユーザ102に読むべき本の推薦を提供する。自動リーディングシステム100により評価されるように、推薦はユーザのリーディング技術プロフィールに基づいてもよい。推薦は、また、システム100に対して読むために、ユーザ102によって、選ばれる本の種類に基づいてもよい。
自動リーディングシステム100は、ユーザ102、教師、プロであるか他の評価する人にフィードバックを提供できる。ユーザが、自動リーディングシステム100のユーザデータベース210に接続している間、サーバ装置106は集められるデータを格納できる。ユーザの履歴データを使用して、フィードバックはユーザ102の進度報告を含んでも良い。進度報告は、リーディング技術要因に基づくフィードバックを含んでも良い。ユーザ102は、彼または彼女のリーディング技術プロフィールが時間とともにどのように改善されたかについてわかることができる。このフィードバックは、ユーザ102が彼か彼女の同僚に対してどのようにランクするかに関する情報を含んでも良い。フィードバックは、周期的なベース(例えば月に一度)に提供されても良い。
自動リーディングシステム100は、ユーザデータベース210のデータを集めて、マーケティング・アプリケーションに役立てても良い。例えば、自動リーディングシステム100はユーザ102が本の中でどんな種類の本選んでシステム100に読むのかについて、情報を集めることができる。ユーザが自動リーディングシステム100に入力するときに、システムはユーザ102に一連の質問を要求しても良い。例えば、問題はユーザ102が本を楽しんで読んだか否か、ということであってもよい。
Claims (12)
- 電子ブックをユーザに適合させる自動リーディングシステムであって、
電子ブックの所定バージョンを読んでいるユーザから提供された音声の言語内容の推定を機械認識可能フォーマットで提供する音声認識システムと、
前記音声の言語内容の前記推定を項目スコアに変換する評価装置と、
推薦装置であって、前記推薦装置に接続された本データベースにアクセスする推薦装置と
を含み、
前記項目スコアは項目反応理論を使用して算出され、かつ、前記推定と正しい応答との比較に基づき、
前記正しい応答は、前記電子ブックの前記バージョンの正しい読み方を示す標本スピーカによって提供され、
前記本データベースは、前記ユーザが読んでいる前記電子ブックの複数のバージョンを含み、
前記電子ブックの各バージョンは、前記本データベース内の異なるレベルプロフィールに対応し、
前記推薦装置は前記項目スコアを使用して、前記ユーザが前記電子ブックを読んでいる間に前記電子ブックの前記バージョンを、異なるレベルプロフィールに変更し、
前記ユーザが読んでいる前記電子ブックのバージョンを追跡することができる自動リーディングシステム。 - 前記推薦装置は前記項目スコアを使用して、前記ユーザが読むべき電子ブックの読み方を前記ユーザに推薦する、請求項1に記載のシステム。
- 前記推薦装置はさらにユーザデータベースにアクセスし、前記本データベース及び前記ユーザデータベースからの情報に基づいて、前記ユーザが読んでいる前記電子ブックの前記バージョンを変更する、請求項1に記載のシステム。
- 前記推薦装置は、マーケティングデータを提供する、請求項1に記載のシステム。
- ディスプレイ及び音声検出器を含むクライアント装置と、
前記クライアント装置に通信チャンネルを介して接続されるサーバ装置と
を含み、
前記サーバ装置は前記クライアント装置と接続された場合に、前記ディスプレイに表示された電子ブックの所定バージョンを読んでいるユーザから前記音声検出器を介して音声を検出し、
前記サーバ装置は前記音声を評価し、
前記サーバ装置は、
(i)前記ユーザが前記電子ブックを読んでいる間に前記電子ブックを、前記サーバ装置がアクセスする記憶装置に格納された異なるバージョンに変更することと、
(ii)前記ユーザのリーディングスキルに基づいて、かつ、前記電子ブックのバージョンに基づいて読むべき本を推薦することと
の少なくとも1つを行うことによって前記評価された音声に対して応答し、
前記ユーザが読んでいる前記電子ブックのバージョンを追跡することができる自動リーディングシステム。 - 前記ディスプレイは、無線携帯端末装置、パーソナル携帯情報機器、モニタ、パソコン、デジタルデータリーダー、電子ブック、及び文書からなるグループから選択される装置である、請求項5に記載のシステム。
- 前記音声検出器は、電話、携帯電話、マイクロホン、及び音声変換器からなるグループから選択される装置である、請求項5に記載のシステム。
- 前記クライアント装置は、ネットワークを使用して前記サーバ装置と通信する、請求項5に記載のシステム。
- 前記ネットワークは、公衆電話交換ネットワークである、請求項8に記載のシステム。
- 前記ネットワークは、パケット交換ネットワークである、請求項8に記載のシステム。
- 前記サーバ装置は、前記ユーザにフィードバックを提供する、請求項5に記載のシステム。
- 前記サーバ装置は、マーケティングデータを提供する、請求項5に記載のシステム。
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US10/068,457 US6953343B2 (en) | 2002-02-06 | 2002-02-06 | Automatic reading system and methods |
US10/068,457 | 2002-02-06 |
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JP2003566824A Division JP2005517213A (ja) | 2002-02-06 | 2003-01-21 | 自動リーディングシステムおよび方法 |
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JP2008242437A JP2008242437A (ja) | 2008-10-09 |
JP2008242437A5 JP2008242437A5 (ja) | 2011-09-01 |
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JP2012160380A Expired - Lifetime JP5548737B2 (ja) | 2002-02-06 | 2012-07-19 | 自動リーディングシステムおよび方法 |
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US (1) | US6953343B2 (ja) |
EP (1) | EP1481384A2 (ja) |
JP (3) | JP2005517213A (ja) |
KR (1) | KR100699638B1 (ja) |
CN (1) | CN1639756B (ja) |
AU (1) | AU2003210577A1 (ja) |
CA (1) | CA2474840C (ja) |
GB (1) | GB2401236B (ja) |
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KR100699638B1 (ko) | 2007-03-23 |
CN1639756A (zh) | 2005-07-13 |
US20030152894A1 (en) | 2003-08-14 |
AU2003210577A8 (en) | 2003-09-02 |
WO2003067550A2 (en) | 2003-08-14 |
AU2003210577A1 (en) | 2003-09-02 |
JP5548737B2 (ja) | 2014-07-16 |
EP1481384A2 (en) | 2004-12-01 |
GB2401236B (en) | 2006-06-14 |
CN1639756B (zh) | 2010-09-22 |
CA2474840A1 (en) | 2003-08-14 |
JP2008242437A (ja) | 2008-10-09 |
JP2012238013A (ja) | 2012-12-06 |
WO2003067550A3 (en) | 2003-12-31 |
US6953343B2 (en) | 2005-10-11 |
JP2005517213A (ja) | 2005-06-09 |
CA2474840C (en) | 2008-03-25 |
GB0419737D0 (en) | 2004-10-06 |
GB2401236A (en) | 2004-11-03 |
KR20040102003A (ko) | 2004-12-03 |
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