WO2015195734A1 - Commande en langage naturel de dispositif passerelle - Google Patents

Commande en langage naturel de dispositif passerelle Download PDF

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Publication number
WO2015195734A1
WO2015195734A1 PCT/US2015/036127 US2015036127W WO2015195734A1 WO 2015195734 A1 WO2015195734 A1 WO 2015195734A1 US 2015036127 W US2015036127 W US 2015036127W WO 2015195734 A1 WO2015195734 A1 WO 2015195734A1
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WO
WIPO (PCT)
Prior art keywords
gateway device
web browser
artificial intelligence
configuration
browser clients
Prior art date
Application number
PCT/US2015/036127
Other languages
English (en)
Inventor
Brian Duane Clevenger
Thomas P. NEWBERRY
Original Assignee
Thomson Licensing
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Thomson Licensing filed Critical Thomson Licensing
Publication of WO2015195734A1 publication Critical patent/WO2015195734A1/fr

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/40—Processing or translation of natural language
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/14—Session management
    • H04L67/146—Markers for unambiguous identification of a particular session, e.g. session cookie or URL-encoding
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/56—Provisioning of proxy services
    • H04L67/561—Adding application-functional data or data for application control, e.g. adding metadata
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/56—Provisioning of proxy services
    • H04L67/565—Conversion or adaptation of application format or content
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
    • H04L67/63—Routing a service request depending on the request content or context

Definitions

  • This non-provisional application is related to the non-provisional application
  • the present principles relate generally to gateway devices and, more
  • GUI graphical user interface
  • Natural language processing systems that simulate artificial intelligence (Al) have been around for a long time.
  • One of the earliest examples was ELIZA developed at MIT.
  • ELIZA developed at MIT.
  • these early systems only tried to mimic human interaction without actually trying to understand what the user was saying.
  • An early example of a natural language processing system is Clippy by Microsoft®, but it simply used keywords from user's questions to search pre-defined help and wizard content rather than trying to provide interactive responses.
  • a gateway device includes a web server for serving one or more web browser clients connected to the gateway device including receiving user commands.
  • the gateway device further includes an artificial intelligence engine for processing the received user commands using natural language processing.
  • the gateway device also includes a configuration and status interface for performing at least one of diagnostic operations, configuration operations, and status operations, on the gateway device responsive to instructions from the artificial intelligence engine.
  • the gateway device additionally includes a session context storage device for storing session context information associated with respective unique session identifiers corresponding to respective sessions between the web server and the one or more web browser clients, and providing the session context information to the artificial intelligence engine.
  • a method for interfacing with a gateway device includes serving one or more web browser clients connected to the gateway device including receiving user commands from the one or more web browser clients.
  • the method further includes processing the received user commands using natural language processing, by an artificial intelligence engine embedded in the gateway device.
  • the method also includes performing at least one of diagnostic operations, configuration operations, and status operations, on the gateway device responsive to instructions from the artificial intelligence engine.
  • the method additionally includes storing, in a session context storage device of the gateway device, session context information associated with respective unique session identifiers corresponding to respective sessions between the web server and the one or more web browser clients, and providing the session context information to the artificial intelligence engine.
  • FIG. 1 shows a hardware block diagram of an exemplary gateway device 100 to which the present principles can be applied, in accordance with an embodiment of the present principles
  • FIG. 2 shows a block diagram of an exemplary system 200 for implementing a natural language control in a gateway device, in accordance with an embodiment of the present principles
  • FIG. 3 shows an exemplary graphical user interface (GUI) 300 for a natural language processing interface in a gateway device, in accordance with an embodiment of the present principles
  • FIGs. 4 and 5 show a flow diagram of a method 400 for controlling a gateway device using natural language, in accordance with an embodiment of the present principles.
  • the present principles are directed to natural language control of a gateway device.
  • the gateway device can be located in a home, a business, or some other facility or entity. While primarily directed to making the interaction between the gateway device and a non-technical user become much easier and efficient, the benefits of the present principles also lend themselves to a technical user in terms of ease of use, speed, and other benefits readily identified by one of ordinary skill in the art, given the teachings of the present principles provided herein.
  • the present principles advantageously provide a chat window in a graphical user interface (GUI) that allows a user to ask questions or issue commands using natural language as if speaking with a person.
  • GUI graphical user interface
  • FIG. 1 shows a hardware block diagram of an exemplary gateway device 100 to which the present principles can be applied, in accordance with an embodiment of the present principles.
  • the present principles are not limited to the gateway device 100 shown and described in FIG. 1 and, thus, other gateway devices 100 having, e.g., different configuration and/or different elements, can also be used in accordance with the teachings of the present principles.
  • Gateway device 100 an input signal is provided to RF input 101 .
  • RF input 101 connects to tuner 102.
  • Tuner 102 connects to central processor unit 104.
  • Central processor unit 104 connects to phone D/A interface 106, transceiver 108, transceiver 109, Ethernet interface 1 10, system memory 1 12, and user control 1 14.
  • Transceiver 108 further connects to antenna 120.
  • Transceiver 109 further connects to antenna 121 . It is important to note that several components and interconnections necessary for complete operation of gateway device 100 are not shown in the interest of conciseness, as the components not shown are well known to those skilled in the art.
  • Gateway device 100 may be capable of operating as an interface to a cable or DSL
  • communication network and further may be capable of providing an interface to one or more devices connected through either a wired and wireless network.
  • a signal such as a cable or DSL signal on the WAN, is interfaced to tuner 102 through RF input 101 .
  • Tuner 102 performs RF modulation functions on a signal provided to the WAN and demodulation functions on a signal received from the WAN.
  • the RF modulation and demodulation functions are the same as those commonly used in communication systems, such as cable or DSL systems.
  • Central processor unit 104 accepts the demodulated cable or DSL signals and digitally processes the signal from tuner 102 to provide voice signals and data for the interfaces in gateway 100. Similarly, central processor unit 104 also processes and directs any voice signals and data received from any of the interfaces in gateway 100 for delivery to tuner 102 and transmission to the WAN.
  • System memory 1 12 supports the processing and IP functions in central processor unit 104 and also serves as storage for program and data information.
  • Processed and/or stored digital data from central processor unit 104 is available for transfer to and from Ethernet interface 1 10.
  • Ethernet interface may support a typical Registered Jack type RJ-45 physical interface connector or other standard interface connector and allow connection to an external local computer.
  • Processed and/or stored digital data from central processor unit 104 is also available for digital to analog conversion in interface 106.
  • Interface 106 allows connection to an analog telephone handset. Typically, this physical connection is provided via an RJ-1 1 standard interface, but other interface standards may be used.
  • Processed and/or stored digital data from central processor unit 104 is additionally available for exchange with transceiver 108 and transceiver 109.
  • Transceiver 208 and transceiver 109 can both support multiple operations and networked devices simultaneously.
  • Central processor unit 104 is also operative to receive and process user input signals provided via a user control interface 1 14, which may include a display and/or a user input device such as a hand-held remote control and/or other type of user input device.
  • devices employing multiple antennas and in some cases multiple transceivers or transmit/receive circuits may operate in a number of transmit and receive modes.
  • one mode only one antenna (and one transceiver circuit) is used for both transmission and reception, known as single input single output (SISO) mode.
  • SISO single input single output
  • a second mode only one antenna is used for transmission and more than one antenna (using one or more transceiver circuits) may be used for reception, known as multiple input single output (MISO) mode.
  • MISO multiple input single output
  • more than one antenna using one or more transceiver circuits
  • SIMO single input multiple output
  • more than one antenna (using one or more transceiver circuits) may be used for transmission and reception, known as multiple input multiple output (MIMO) mode.
  • MIMO multiple input multiple output
  • gateway device 100 also referred to herein as "gateway” in short
  • GUI hypertext transfer protocol
  • Al engine running on the CPU 104 to interpret requests from the user and generate appropriate responses.
  • server and Al engine can be implemented as standalone components or be part of other components shown in FIG. 1 .
  • the server and Al engine are further described with respect to system 200 of FIG. 2.
  • the gateway device can be gateway 100 shown and described with respect to FIG. 1 , or some other gateway device. For the sake of illustration, the following description will make reference to the gateway 100 of FIG. 1 .
  • the system can be a stand-alone system within a gateway device, or can be integrated into one or more existing elements of a gateway device.
  • the system 200 include an embedded web server (hereinafter “web server” in short) 210, an artificial intelligence (Al) engine 220, a configuration and status interface 230, and a session context storage device 240.
  • web server an embedded web server
  • Al artificial intelligence
  • the web server 210 can serve a plurality of web browser clients 290A-C.
  • the web server 210 assigns each of the web browser clients 290A-C a unique session identifier at the start of a session.
  • the web browser clients 290A-C return this session identifier in each HTTP transaction. This allows the gateway 100 to identify each concurrent session and independently manage state information for each session.
  • this command is sent to web server 210 which in turn sends the command to the Al engine 220 for processing.
  • the Al engine 220 makes the appropriate configuration changes using the configuration and status interface 230, formulates an appropriate response to the user, and sends this response to the web server 210 which in turn sends the response to the user's web browser.
  • the artificial intelligence engine 220 performs an evaluation of received user comments and responsive thereto provides configuration and/or status information to the web server 210 for forwarding to a corresponding one of the one or more web browser clients 290A-C and/or changes a configuration of the gateway device 100 and/or runs a diagnostic routine.
  • the configuration and status interface 230 assists (the artificial intelligence engine 220) in the processing of the at least some of the received user commands by interfacing with other elements of the gateway device 100 that configure the gateway device 100 and/or maintain a status of the gateway device 100 and/or perform diagnostics on the gateway device 100.
  • the Al engine 220 will need to store and retrieve state information about previous interactions to process requests.
  • the gateway may ask for confirmation by asking "Are you sure you want to disable wireless security?"
  • the user's response to this question may be "yes".
  • “yes” is an ambiguous command without knowing the context.
  • some interactions may require the Al engine 220 to store or retrieve context information associated with the user's session ID in the session context storage device 240.
  • session cookies may be used to keep track of sessions.
  • the web browser clients 290A-C can be any of, but are not limited to, a mobile telephone, a mobile computer, a desktop computer, a tablet, a personal digital assistant, a media player.
  • Each of the web browser clients 290A-C is capable of implementing a web browser and is further capable of connecting to the gateway device using wireless technology (e.g., Bluetooth, an 802.1 1 protocol, etc.) or wired technology (Ethernet, universal serial bus (USB), firewire, and so forth).
  • the gateway device 100 can be any of, but is not limited to, a set top box, a modem, a router, a network switch, a voice over Internet Protocol (VoIP) telephone adapter, a wireless access point, and so forth.
  • VoIP voice over Internet Protocol
  • one or more of the elements of system 200 can be standalone elements and/or incorporated into other elements.
  • the storage device 240 can be a standalone storage device or incorporated into system memory 1 12.
  • FIG. 3 shows an exemplary graphical user interface (GUI) 300 for a natural language processing interface in a gateway device, in accordance with an embodiment of the present principles.
  • the gateway device can be gateway 100 shown and described with respect to FIG. 1 , or some other gateway device. For the sake of illustration, the following description will make reference to the gateway 100 of FIG. 1 .
  • a help button When a user clicks a help button, the user is presented with a chat dialog and prompted with a fixed response such as "How can I help?" The user can then enter questions or commands in a text box 310 using natural language that the gateway 100 will respond to by providing information, changing the configuration, or running diagnostics.
  • FIGs. 4 and 5 show a flow diagram of an exemplary method 400 for controlling a gateway device using natural language, in accordance with an embodiment of the present principles.
  • the gateway device can be gateway 100 shown and described with respect to FIG. 1 , or some other gateway device.
  • method 400 is described with respect to gateway 100 of FIG. 1 .
  • the method 400 is described with respect to a single web browser client (e.g., any of web browser clients 290A-C, here 290A for example) interfacing with the gateway device 100.
  • the present principles can be implemented with respect to multiple web browser clients.
  • a user input is received from a web browser client 290A requesting initiation of a chat dialog with the gateway device 100.
  • a unique session identifier is assigned by the web server 210 to the web browser client 290A at a start of a respective session there between.
  • a chat window is opened on the web browser client 290A.
  • a user command and assigned session identifier is received from the web browser client 290A by the web server 210 responsive to the user of the web browser client 290A inputting the user command into a text input box of the chat window.
  • Step 405 the user command is forwarded from the web server 210 to the artificial intelligence engine 220 for processing using natural language processing.
  • Step 405 includes performing an evaluation of the user command using natural language processing.
  • step 407 it is determined whether the artificial intelligence engine 220 was able to process the user command. If so, the method proceeds to step 408. Otherwise the method proceeds to step 421 .
  • step 408 it is determined whether session content information is needed. If so, the method proceeds to step 409. Otherwise, the method proceeds to step 410.
  • step 409 the session context storage device 240 is queried for context information of previous sessions.
  • step 410 it is determined whether configuration or status information is needed. If so, then the method proceeds to step 41 1 . Otherwise, the method proceeds to step 412.
  • step 41 1 configuration or status information is obtained from the configuration and status interface 230.
  • the Al engine 220 processes data to formulate a response to the user as well as a list of actions to be performed by the gateway.
  • step 413 it is determined whether or not the Al engine 220 was able to formulate a response. If so, then the method proceeds to step 414. Otherwise, the method proceeds to step 421 .
  • step 414 it is determined whether or not the gateway configuration needs to be updated. If so, then the method proceeds to step 415. Otherwise, the method proceeds to step 416.
  • the configuration of the configuration and status interface 230 is updated.
  • step 416 it is determined whether or not other gateway components need to be updated and/or diagnostic routines need to be run. If so, then the method proceeds to step 417. Otherwise, the method proceeds to step 418.
  • step 417 other components of the gateway are updated and/or diagnostics are run on the gateway.
  • step 418 it is determined whether or not session context information needs to be updated. If so, then the method proceeds to step 419. Otherwise, the method proceeds to step 420.
  • session context information for the current session identifier is updated.
  • a formulated response is sent to the web browser client, and the method returns to step 404.
  • a default response is sent to the web browser client. While described with respect to a unique session identifier, as readily appreciated by one of ordinary skill in the art given the teachings of the present principles provided herein, other ways to track sessions can also be used (such as, but not limited to, session cookies, and so forth).
  • the functions of the various elements shown in the figures may be provided through the use of dedicated hardware as well as hardware capable of executing software in association with appropriate software.
  • the functions may be provided by a single dedicated processor, by a single shared processor, or by a plurality of individual processors, some of which may be shared.
  • processor or “controller” should not be construed to refer exclusively to hardware capable of executing software, and may implicitly include, without limitation, digital signal processor (“DSP”) hardware, read-only memory (“ROM”) for storing software, random access memory (“RAM”), and non-volatile storage.
  • DSP digital signal processor
  • ROM read-only memory
  • RAM random access memory
  • any switches shown in the figures are conceptual only. Their function may be carried out through the operation of program logic, through dedicated logic, through the interaction of program control and dedicated logic, or even manually, the particular technique being selectable by the implementer as more specifically understood from the context.
  • any element expressed as a means for performing a specified function is intended to encompass any way of performing that function including, for example, a) a combination of circuit elements that performs that function or b) software in any form, including, therefore, firmware, microcode or the like, combined with appropriate circuitry for executing that software to perform the function.
  • the present principles as defined by such claims reside in the fact that the
  • such phrasing is intended to encompass the selection of the first listed option (A) only, or the selection of the second listed option (B) only, or the selection of the third listed option (C) only, or the selection of the first and the second listed options (A and B) only, or the selection of the first and third listed options (A and C) only, or the selection of the second and third listed options (B and C) only, or the selection of all three options (A and B and C).
  • This may be extended, as readily apparent by one of ordinary skill in this and related arts, for as many items listed.
  • the teachings of the present principles are implemented as a combination of hardware and software.
  • the software may be implemented as an application program tangibly embodied on a program storage unit.
  • the application program may be uploaded to, and executed by, a machine comprising any suitable architecture.
  • the machine is implemented on a computer platform having hardware such as one or more central processing units (“CPU"), a random access memory (“RAM”), and input/output ("I/O") interfaces.
  • CPU central processing units
  • RAM random access memory
  • I/O input/output
  • the computer platform may also include an operating system and microinstruction code.
  • the various processes and functions described herein may be either part of the microinstruction code or part of the application program, or any combination thereof, which may be executed by a CPU.
  • various other peripheral units may be connected to the computer platform such as an additional data storage unit and a printing unit.

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  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Theoretical Computer Science (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • General Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computational Linguistics (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Library & Information Science (AREA)
  • Computer And Data Communications (AREA)

Abstract

Selon un aspect, la présente invention concerne un dispositif passerelle. Le dispositif passerelle comprend un serveur Web (210) permettant de desservir un ou plusieurs clients de navigateur Web connectés au dispositif passerelle, notamment par réception d'instructions. Le dispositif passerelle comprend en outre un moteur d'intelligence artificielle (220) permettant de traiter les instructions reçues à l'aide d'un traitement de langage naturel. Le dispositif passerelle comprend également une interface de configuration et d'état (230) permettant d'exécuter au moins une fonction parmi des fonctions de diagnostic, des fonctions de configuration, et des fonctions d'état sur le dispositif passerelle en réponse à des instructions en provenance du moteur d'intelligence artificielle. Le dispositif passerelle comprend en outre un dispositif de mémoire (240) de contexte de session permettant de mémoriser des informations de contexte de session avec des identifiants de session uniques correspondant à des sessions respectives entre le serveur Web et le ou les clients de navigateur Web, et de fournir les informations de contexte de session au moteur d'intelligence artificielle.
PCT/US2015/036127 2014-06-19 2015-06-17 Commande en langage naturel de dispositif passerelle WO2015195734A1 (fr)

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US62/014,417 2014-06-19

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018125568A1 (fr) * 2016-12-27 2018-07-05 Motorola Solutions, Inc. Système et procédé pour faire varier la verbosité de réponse sur la base des propriétés de canal dans une communication de groupe à l'aide d'une intelligence artificielle
US10051442B2 (en) 2016-12-27 2018-08-14 Motorola Solutions, Inc. System and method for determining timing of response in a group communication using artificial intelligence
CN110780861A (zh) * 2019-09-10 2020-02-11 广州市金度信息科技有限公司 一种基于人工智能应用开发的方法、系统及存储介质

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US20030187650A1 (en) * 2002-04-02 2003-10-02 Worldcom. Inc. Call completion via instant communications client
US20040030750A1 (en) * 2002-04-02 2004-02-12 Worldcom, Inc. Messaging response system
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US20070192495A1 (en) * 2006-02-16 2007-08-16 Softwired Ag Gateway for wireless mobile clients

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US20030187650A1 (en) * 2002-04-02 2003-10-02 Worldcom. Inc. Call completion via instant communications client
US20040030750A1 (en) * 2002-04-02 2004-02-12 Worldcom, Inc. Messaging response system
EP1494421A1 (fr) * 2003-06-30 2005-01-05 Microsoft Corporation Equilibrage de charge de réseau avec données d'état de l'hote
US20070192495A1 (en) * 2006-02-16 2007-08-16 Softwired Ag Gateway for wireless mobile clients

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018125568A1 (fr) * 2016-12-27 2018-07-05 Motorola Solutions, Inc. Système et procédé pour faire varier la verbosité de réponse sur la base des propriétés de canal dans une communication de groupe à l'aide d'une intelligence artificielle
US10051442B2 (en) 2016-12-27 2018-08-14 Motorola Solutions, Inc. System and method for determining timing of response in a group communication using artificial intelligence
KR20190093224A (ko) * 2016-12-27 2019-08-08 모토로라 솔루션즈, 인크. 인공 지능을 이용한 그룹 통신에서의 채널 특성들에 기초한 응답의 용장성을 변경하기 위한 시스템 및 방법
AU2017386981B2 (en) * 2016-12-27 2020-09-17 Motorola Solutions, Inc. System and method for varying verbosity of response based on channel properties in a group communication using artificial intelligence
KR102205923B1 (ko) * 2016-12-27 2021-01-21 모토로라 솔루션즈, 인크. 인공 지능을 이용한 그룹 통신에서의 채널 특성들에 기초한 응답의 용장성을 변경하기 위한 시스템 및 방법
US11593668B2 (en) 2016-12-27 2023-02-28 Motorola Solutions, Inc. System and method for varying verbosity of response in a group communication using artificial intelligence
CN110780861A (zh) * 2019-09-10 2020-02-11 广州市金度信息科技有限公司 一种基于人工智能应用开发的方法、系统及存储介质

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