CN106205612A - Information processing method and system towards intelligent robot - Google Patents
Information processing method and system towards intelligent robot Download PDFInfo
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- CN106205612A CN106205612A CN201610537815.2A CN201610537815A CN106205612A CN 106205612 A CN106205612 A CN 106205612A CN 201610537815 A CN201610537815 A CN 201610537815A CN 106205612 A CN106205612 A CN 106205612A
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L2015/223—Execution procedure of a spoken command
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L2015/225—Feedback of the input speech
Abstract
The invention discloses a kind of information processing method towards intelligent robot and system, method include obtain user input voice messaging go forward side by side lang justice resolve;Semantic analysis result is carried out intention assessment;When intention assessment result is the intention that instruction game is opened, intention assessment result is carried out biological function explore, the game logic corresponding to determine intention assessment result;According to game logic, generate corresponding performance data and perform the multi-modal output of correspondence;When the intention that intention assessment result is instruction game over, stop the game interaction carrying out with user.Present invention, avoiding owing to user forgets to cannot be carried out the situation of game interactive for starting the instruction of game, also make intelligent robot that the topic of chat conversations is had the strongest control ability, game interaction is realized by set logic and rule, improve the interest of man-machine interaction, extend the range of application of intelligent robot, and then be effectively increased the use viscosity of user.
Description
Technical field
The present invention relates to intelligent robot technology field, particularly relate to a kind of towards intelligent machine human information processing side
Method, further relates to a kind of information processing system towards intelligent robot.
Background technology
Along with the development of science and technology, the introducing of information technology, computer technology and artificial intelligence technology, machine
Industrial circle is the most progressively walked out in the research of people, gradually extend to the necks such as medical treatment, health care, family, amusement and service occupation
Territory.People for the requirement of robot also conform to the principle of simplicity the multiple mechanical action of substance be promoted to have the most intelligent, autonomy and with
The intelligent robot that other intelligent bodies are mutual.
Existing human computer conversation's process generally only relates to traditional question and answer mode dialog procedure, and dialogue is interesting low.It addition, intelligence
Energy robot is limited in one's ability to the handle control of " topic " in chat conversations, and the range of application of intelligent robot is narrow.Therefore, it is substantially reduced
The user use viscosity to existing intelligent robot.
Summary of the invention
The technical problem to be solved is: existing human computer conversation's process interest is low, and intelligent robot
Limited in one's ability to the handle control of " topic " in chat conversations, thus greatly reduce user and the use of existing intelligent robot is glued
Degree.
In order to solve above-mentioned technical problem, the invention provides a kind of information processing method towards intelligent robot and be
System.
According to an aspect of the invention, it is provided a kind of information processing method towards intelligent robot, comprising:
Obtain user input voice messaging go forward side by side lang justice resolve;
Semantic analysis result is carried out intention assessment;
When intention assessment result is the intention that instruction game is opened, described intention assessment result is carried out biological function explore,
The game logic corresponding to determine described intention assessment result;
According to described game logic, generate corresponding performance data and perform the multi-modal output of correspondence;
When the intention that described intention assessment result is instruction game over, the game stopping carrying out with described user is handed over
Mutually.
Preferably, according to described game logic, generate corresponding performance data and perform the multi-modal output of correspondence, bag
Include:
According to described game logic, generate the performance data of game relevant issues and export;
Receive user's answer for described problem;
The correct option of described answer with described problem is mated;
Perform the multi-modal output that matching result is corresponding.
Preferably, perform the multi-modal output that matching result is corresponding, including:
When described matching result indicates described answer correct, output is used for guiding described user to carry out next round game and hands over
Mutual multi-modal interaction data.
Preferably, perform the multi-modal output that matching result is corresponding, including:
When described matching result indicates described erroneous answers, output is used for guiding described user for current problem again
The multi-modal interaction data answered;Or,
Generate for providing the performance data of described correct option and performing the multi-modal output of correspondence, and output is used for drawing
Lead user and carry out the multi-modal interaction data of next round game interaction.
Preferably, the above-mentioned information processing method towards intelligent robot also includes:
Before stopping described game interaction, the multi-modal mutual number that output closes to an end for pointing out described user to play
According to.
According to another aspect of the present invention, it is provided that a kind of information processing system towards intelligent robot, comprising:
Voice messaging acquisition module, is set to obtain the voice messaging of user's input;
Semantic meaning analysis module, is set to described voice messaging carries out semantic parsing;
Intention assessment module, is set to semantic analysis result is carried out intention assessment;
Biological function explore module, is set to, when intention assessment result is the intention that instruction game is opened, know described intention
Other result carries out biological function explore, the game logic corresponding to determine described intention assessment result;
Output module, is set to, according to described game logic, generate corresponding performance data and perform the multi-modal of correspondence
Output;
Stopping modular, is set to, when the intention that described intention assessment result is instruction game over, stop and described use
The game interaction that family is carried out.
Preferably, described output module, including:
Performance data signal generating unit, is set to, according to described game logic, generate the performance data of game relevant issues;
First output unit, is set to export described performance data;
Receive unit, be set to the answer receiving user for described problem;
Matching unit, is set to mate the correct option of described answer with described problem;
Second output unit, is arranged to carry out the multi-modal output that matching result is corresponding.
Preferably, described second output unit is specifically configured to:
When described matching result indicates described answer correct, output is used for guiding described user to carry out next round game and hands over
Mutual multi-modal interaction data.
Preferably, described second output unit is specifically configured to:
When described matching result indicates described erroneous answers, output is used for guiding described user for current problem again
The multi-modal interaction data answered;Or
Generate for providing the performance data of described correct option and performing the multi-modal output of correspondence, and output is used for drawing
Lead user and carry out the multi-modal interaction data of next round game interaction.
Preferably, the above-mentioned information processing system towards intelligent robot also includes reminding module, is set to: described
Before stopping modular stops described game interaction, the multi-modal mutual number that output closes to an end for pointing out described user to play
According to.
Compared with prior art, the one or more embodiments in such scheme can have the advantage that or useful effect
Really:
The application information processing method towards intelligent robot described in the present embodiment, opens according to user view or knot
Bundle game interaction, it is to avoid owing to user forgets to cannot be carried out the situation of game interactive for starting the instruction of game.It addition,
The present invention, by set rule and logic realization game interaction, makes intelligent robot have the strongest to the topic of chat conversations
Control ability, improve the interest of man-machine interaction, extend the range of application of intelligent robot, and then be effectively increased user
Use viscosity.
Other features and advantages of the present invention will illustrate in the following description, and partly become from description
It is clear that or understand by implementing the present invention.The purpose of the present invention and other advantages can be by wanting in description, right
The structure asking specifically noted in book and accompanying drawing realizes and obtains.
Accompanying drawing explanation
Accompanying drawing is for providing a further understanding of the present invention, and constitutes a part for description, with the reality of the present invention
Execute example to be provided commonly for explaining the present invention, be not intended that limitation of the present invention.In the accompanying drawings:
Fig. 1 shows the embodiment of the present invention a kind of schematic flow sheet towards the information processing method of intelligent robot;
Fig. 2 shows and generates corresponding performance data according to game logic in the embodiment of the present invention and perform corresponding many
The schematic flow sheet of the method for mode output;
Fig. 3 shows the flow process signal of the method performing multi-modal output corresponding to matching result in the embodiment of the present invention
Figure;
Fig. 4 shows the embodiment of the present invention another kind of schematic flow sheet towards the information processing method of intelligent robot;
Fig. 5 shows the embodiment of the present invention a kind of structural representation towards the information processing system of intelligent robot;
Fig. 6 illustrates the structural representation of output module in the embodiment of the present invention;
Fig. 7 shows the structural representation of the second output unit in the embodiment of the present invention;
Fig. 8 shows the structural representation of the second output subelement in the embodiment of the present invention;And
Fig. 9 shows the embodiment of the present invention another kind of structural representation towards the information processing system of intelligent robot.
Detailed description of the invention
Describe embodiments of the present invention in detail below with reference to drawings and Examples, whereby how the present invention is applied
Technological means solves technical problem, and the process that realizes reaching technique effect can fully understand and implement according to this.Need explanation
As long as not constituting conflict, each embodiment in the present invention and each feature in each embodiment can be combined with each other,
The technical scheme formed is all within protection scope of the present invention.
Existing human computer conversation's process generally only relates to traditional question and answer mode dialog procedure, and dialogue is interesting low.It addition, intelligence
Energy robot is limited in one's ability to the handle control of " topic " in chat conversations, and the range of application of intelligent robot is narrow.It can be seen that it is existing
In technology, robot greatly reduces user's use viscosity to existing intelligent robot with the question and answer mode dialogue mode of user.
For solving above-mentioned technical problem, embodiments provide a kind of information processing method towards intelligent robot.
Embodiment one
Fig. 1 shows the embodiment of the present invention a kind of schematic flow sheet towards the information processing method of intelligent robot.As
Shown in Fig. 1, the embodiment of the present invention, towards the information processing method of intelligent robot, mainly includes that step 101 is to step 106.
In a step 101, the voice messaging of user's input is obtained.
In a step 102, the voice messaging to user's input carries out semantic parsing.
In step 103, semantic analysis result is carried out intention assessment.
Specifically, first system obtains the voice of user's input, then the voice got is carried out speech recognition, obtains
The text corresponding with this voice.Here, the technological means that those skilled in the art can be used usually to use realizes for upper
State detection and the process of voice messaging, the most do not carry out these technological means launching explanation.
Then, the voice messaging of system of users input carries out semantic parsing and intention assessment, extracts in voice messaging
Key message, in order to the intention of user known by intelligent robot.Generally utilize the semanteme that those skilled in the art usually use
Analytic method and intension recognizing method, carry out semantic parsing and intention assessment, thus obtain the intention of user voice messaging.
At step 104, it is judged which kind of intention is intention assessment result belong to, and judging that intention assessment result is for instruction
During the intention that game is opened, intention assessment result is carried out biological function explore, the game logic corresponding to determine intention assessment result.
In step 105, according to game logic, generate corresponding performance data and perform the multi-modal output of correspondence.
Specifically, after obtaining intention assessment result, system judges which kind of intention assessment result belongs to and be intended to.Judging
This intention assessment result be for indicate game open intention (startup be intended to mean when need open or enter certain game or
A kind of specific expression during special scenes or information) time, system carries out biological function explore to intention assessment result, to obtain and to be somebody's turn to do
The game logic that intention assessment result is corresponding.Then generate the performance data corresponding with this game logic, and export and be somebody's turn to do
The multi-modal output that performance data is corresponding.
Here, intention assessment result carries out biological function explore may is that intention assessment result is carried out participle, algorithm
Join, to decide whether to enable game (mainly starting the judgement of intention), judge whether to process in game logic and judge
Various situations (user answers the most correctly, whether user thinks Exit Game etc.) in game.
The logic output that performance data refers to according to biological function explore carrys out the corresponding data of assembled package, to form output knot
Really.Such as, biological function explore user wants the answer knowing in game, it is determined that corresponding game logic, can be according to this game
Logic carrys out data splitting result.
In step 106, when the intention that intention assessment result is instruction game over, the game carried out with user is stopped
Alternately.
Specifically, when judging that intention assessment result is the intention for indicating game over, intelligent robot stops
Game interaction is carried out with user.
As a example by " who is crying " plays, the present embodiment is described below.
First, user input voice information: who is crying.Intelligent robot carries out semantic parsing and intention to this voice messaging
Identify, determine that user is desired with the game (intention that instruction game is opened) of " who is crying ".Then intelligent robot is to this meaning
Figure recognition result carries out biological function explore to obtain game logic, based on these game logic systematic function data, and assemble output with
The multi-modal output that this performance data is corresponding." I plays crying of one section of animal to intelligent robot output voice messaging below
Sound, child guesses it is which kind of animal is crying, has listened " and play sound effect (tiger .mp3).
Then, intelligent robot carries out game interaction according to the answer of user with user.
If during game interaction, user input voice information " is not played ", then this voice is believed by intelligent robot
Breath carries out semantic parsing and intention assessment, determines that user wishes to exit game (intention of instruction game over).Now, intelligent machine
Device people terminates the game interaction carried out with user.
It should be noted that when game logic exports without result, the most finally output result can come from other of system
Business module.Such as, user's expectation and intelligent robot carry out the game of " guessing riddles ", but owing to intelligent robot does not has
The functional module of " guessing riddles ", intelligent robot cannot determine game logic, and then intelligent robot will utilize other business mould
Block output result.Such as intelligent robot output voice " parent, you are the most much also plays the game of this naivety, changes ".
The application information processing method towards intelligent robot described in the present embodiment, opens according to user view or knot
Bundle game interaction, it is to avoid owing to user forgets to cannot be carried out the situation of game interactive for starting the instruction of game.It addition,
The present invention, by set rule and logic realization game interaction, makes intelligent robot have the strongest to the topic of chat conversations
Control ability, improve the interest of man-machine interaction, extend the range of application of intelligent robot, and then be effectively increased user
Use viscosity.
Embodiment two
Method involved by step 105, on the basis of embodiment one, is done optimization further by the present embodiment.
Fig. 2 shows and generates corresponding performance data according to game logic in the embodiment of the present invention and perform corresponding many
The schematic flow sheet of the method for mode output.As in figure 2 it is shown, the embodiment of the present invention generates corresponding merit according to game logic
Energy data the method performing corresponding multi-modal output, mainly include that step 201 is to step 205.
In step 201, according to game logic, generate the performance data of game relevant issues and export.
In step 202., user's answer for problem is received.
In step 203, mate answering with the correct option of problem.
In step 204, the multi-modal output that matching result is corresponding is performed.
Specifically, intelligent robot generates and the functional of relevant issues of playing according to the game logic that step 104 determines
Data also export.Such as user is desired with the intention of the game of " who is crying ", intelligent robot output voice messaging " below I
Playing the cry of one section of animal, child guesses it is which kind of animal is crying, and has listened " and play sound effect (tiger .mp3).
For this toy problem, user answers Tiger.Intelligent robot receives the answer Tiger of user, and this answer is asked with this
The correct option Tiger of topic mates, and performs corresponding multi-modal output according to matching result.
Present embodiments provide a kind of game interaction method for certain game logic, the game interaction mistake of its class peopleization
Journey further increases the use viscosity of user, improves the intelligent robot competitiveness of product in market.
Embodiment three
Step 204 is done optimization further on the basis of embodiment two by the present embodiment.
Fig. 3 shows the flow process signal of the method performing multi-modal output corresponding to matching result in the embodiment of the present invention
Figure.As it is shown on figure 3, the method that the embodiment of the present invention performs multi-modal output corresponding to matching result, mainly include step 301 to
Step 303.
In step 301, it is judged that whether user mates with the correct option of this problem for the answer of problem.
In step 302, when the answer judging user is mated with correct option, i.e. just answering in matching result instruction
Time really, output carries out the multi-modal interaction data of next round game interaction for guiding user.
In step 303, when the answer judging user is not mated with correct option, i.e. answer in matching result instruction
During mistake, select the one in following two processing mode.The first processing mode: output is used for guiding user for currently asking
The multi-modal interaction data that topic is answered again.The second processing mode: generate for providing the performance data of correct option and holding
The multi-modal output that row is corresponding, and export for guiding user to carry out the multi-modal interaction data of next round game interaction.
Specifically, when judging that user answers correct, intelligent robot guides user to carry out next round game interaction.?
When judging user's erroneous answers, intelligent robot can directly provide a user with correct option, under then guiding user to carry out
One takes turns game interaction, it is also possible to guide user again to answer.
For example, for the game of above-mentioned " who is crying ", when the answer of user is Tiger (answering correct), intelligence
Robot determines that user answers correctly, and output voice " you are the most clever ", to praise user to answer correctly, then exports voice " we
Guess the next one " to guide user to carry out next round game interaction.
When the answer of user is " lion " (erroneous answers), intelligent robot determines user's erroneous answers, exports voice
" guess wrong " to indicate user's erroneous answers, and export voice and " guess the most again once " to guide user again to answer.Or, at this
In the case of Zhong, intelligent robot directly exports voice " correct option is tiger " to inform the correct option of user's current problem,
Then voice " we guess the next one " is exported to guide user to carry out next round game interaction.
Illustrating, for the game of " Chinese idiom building sequence ", (be connected into language at least includes in a upper Chinese idiom i.e. below again
Word), when user input voice " Chinese idiom building sequence " or " my Chinese idiom building sequence to be played " or " Chinese idiom building sequence game ", intelligent machine
People starts the game interactive of " Chinese idiom building sequence ", enters Chinese idiom building sequence pattern, and user starts to carry out Chinese idiom answer with intelligent robot.
Intelligent robot output voice " enters Chinese idiom building sequence pattern, indulge in pleasure and forget home and duty ", and user answers " pondering on the past and future ", and intelligent robot connects
Answer " trouble and worry ", if next user answers correctly, then continue, otherwise, intelligent robot is directly said standby
Start next round Chinese idiom building sequence after selecting answer or guide user again to answer.
Illustrate again, for the game of " guessing riddles ", as user input voice " guessing riddles " or " object for appreciation guessing riddles " or " I
Want to play guessing riddles game " time, intelligent robot starts the game interactive of " guessing riddles ", enters guessing riddles pattern, the most all of
Interactive voice content, all under this scene of game, is illustrated alternately.Intelligent machine robot output voice " beginning guessing riddles, one
Point one is horizontal, stares at for two one, makes a call to a word ", if user answers out correct option " six ", then continue next riddle, if used
Mistake is answered at family, then intelligent robot can inform user's correct option, and provides next riddle.So circulation, until obtaining user
Game over be intended to (such as, user says " not playing " or " exiting ") time till.
Application the present embodiment, answers correct and the situation of user's erroneous answers for user, and intelligent robot can be made
Class person's development, further increases the use viscosity of user, improves the intelligent robot competitiveness of product in market.
Embodiment four
The present embodiment is in above-described embodiment one to embodiment three on the basis of any embodiment, to stopping game interaction
Method does optimization further.
Fig. 4 shows the embodiment of the present invention another kind of schematic flow sheet towards the information processing method of intelligent robot.
As shown in Figure 4, the embodiment of the present invention increases step towards the information processing method of intelligent robot on the basis of embodiment one
107。
In step 107, when judging the intention that intention assessment result is instruction game over, output is used for pointing out use
The multi-modal interaction data that family game closes to an end.Then perform step 106, stop the game interaction carrying out with user.
In the present embodiment, after user wishes to terminate current game interaction, first output is used for pointing out the game will
The multi-modal interaction data terminated, stops game interaction the most again.It can be seen that application the present embodiment, can be prevented effectively from not
Remind user that game closes to an end the lofty sense caused, can also clearly inform that user's intelligent robot will exit trip simultaneously
Play scene, further increases the experience of user.
Embodiment five
Corresponding to above-described embodiment one to embodiment four, embodiments provide a kind of letter towards intelligent robot
Breath processing system.
Fig. 5 shows the embodiment of the present invention a kind of structural representation towards the information processing system of intelligent robot.As
Shown in Fig. 5, the embodiment of the present invention, towards the information processing system of intelligent robot, mainly includes that the voice messaging being sequentially connected with obtains
Delivery block 401, semantic meaning analysis module 402, intention assessment module 403, biological function explore module 404 and output module 405, Yi Jiyu
The stopping modular 406 that intention assessment module 403 is connected.
Specifically, voice messaging acquisition module 401, it is set to obtain the voice messaging of user's input.
Semantic meaning analysis module 402, is set to voice messaging carries out semantic parsing.
Intention assessment module 403, is set to semantic analysis result is carried out intention assessment.
Biological function explore module 404, is set to when intention assessment result is the intention that instruction game is opened, to intention assessment
Result carries out biological function explore, the game logic corresponding to determine intention assessment result.
Output module 405, is set to, according to game logic, generate corresponding performance data and perform the multi-modal defeated of correspondence
Go out.
Stopping modular 406, is set to, when the intention that intention assessment result is instruction game over, stop carrying out with user
Game interaction.
The application information processing method towards intelligent robot described in the present embodiment, opens according to user view or knot
Bundle game interaction, it is to avoid owing to user forgets to cannot be carried out the situation of game interactive for starting the instruction of game.It addition,
The present invention, by set rule and logic realization game interaction, makes intelligent robot have the strongest to the topic of chat conversations
Control ability, improve the interest of man-machine interaction, extend the range of application of intelligent robot, and then be effectively increased user
Use viscosity.
Embodiment six
The structure of output module 405, on the basis of embodiment five, is further optimized by the present embodiment.
Fig. 6 illustrates the structural representation of output module 405 in the embodiment of the present invention.As shown in Figure 6, the present embodiment exports
Module 405 mainly includes performance data signal generating unit the 501, first output unit 502, receives unit 503, matching unit 504 and
Second output unit 505.
Specifically, performance data signal generating unit 501, it is set to, according to game logic, generate the function of game relevant issues
Data.
First output unit 502, is set to export performance data.
Receive unit 503, be set to the answer receiving user for problem.
Matching unit 504, is set to mate answering with the correct option of problem.
Second output unit 505, is arranged to carry out the multi-modal output that matching result is corresponding.
Present embodiments provide a kind of game interaction mode for certain game logic, the game interaction mistake of its class peopleization
Journey further increases the use viscosity of user, improves the intelligent robot competitiveness of product in market.
Embodiment seven
The structure of the second output unit 505, on the basis of embodiment six, is further optimized by the present embodiment.
Fig. 7 shows the structural representation of the second output unit in the embodiment of the present invention.As it is shown in fig. 7, the present invention implements
In example, the second output unit 505 mainly includes judgment sub-unit 601 and the first output being all connected with judgment sub-unit 601
Unit 602 and the second output subelement 603.
Specifically, it is judged that subelement 601, it is set to judge that the answer of the user correct option whether with problem matches.
First output subelement 602, is set to judge answer and the correct option phase of user in judgment sub-unit 601
Timing, i.e. when matching result instruction is answered correct, output carries out the multi-modal friendship of next round game interaction for guiding user
Data mutually.
Second output unit 603 is specifically configured to: when judgment sub-unit 601 judges the answer of user with correct option not
During coupling, the multi-modal interaction data that output is answered for current problem again for guiding user.
It addition, Fig. 8 shows the structural representation of the second output subelement 603 in the embodiment of the present invention.As shown in Figure 8,
Second output subelement 603 includes that the performance data being sequentially connected with generates subelement the 701, the 3rd and exports subelement 702 and the 4th
Output subelement 703.
Specifically, performance data generates subelement 701, is set to generate for the performance data providing correct option.
3rd output subelement 702, is set to the performance data to being generated and exports.
4th output subelement 703, is set to output for guiding user to carry out the multi-modal friendship of next round game interaction
Data mutually.
Application the present embodiment, answers correct and the situation of user's erroneous answers for user, and intelligent robot can be made
Class person's development, further increases the use viscosity of user, improves the intelligent robot competitiveness of product in market.
Embodiment eight
The present embodiment is in above-described embodiment five to embodiment seven on the basis of any one embodiment, it is provided that towards intelligence
The another kind of structure of the information processing system of energy machine.
Fig. 9 shows the embodiment of the present invention another kind of structural representation towards the information processing system of intelligent robot.
As it is shown in figure 9, on the basis of embodiment five, the embodiment of the present invention also includes carrying towards the information processing system of intelligent robot
Show module 407.Wherein, it is intended that identification module 403 is connected with stopping modular 406 by reminding module 407.At the present embodiment
In, reminding module 407 is set to: before stopping modular 406 stops game interaction, and output is used for pointing out user to play and will tie
The multi-modal interaction data of bundle.
In the present embodiment, after user wishes to terminate current game interaction, first output is used for pointing out the game will
The multi-modal interaction data terminated, stops game interaction the most again.It can be seen that application the present embodiment, can be prevented effectively from not
Remind user that game closes to an end the lofty sense caused, can also clearly inform that user's intelligent robot will exit trip simultaneously
Play scene, further increases the experience of user.
The concrete refinement of the operation it should be noted that in embodiment five to embodiment eight in modules and unit, can
See above in conjunction with the Fig. 1 to Fig. 4 explanation to the inventive method (referring specifically to embodiment one to embodiment four), the most detailed at this
Carefully repeat.
Those skilled in the art should be understood that each module of the above-mentioned present invention or each step can be with general calculating
Device realizes, and they can concentrate on single calculating device, or is distributed in the network that multiple calculating device is formed
On, alternatively, they can realize with calculating the executable program code of device, it is thus possible to be stored in storage
Device is performed by calculating device, or they are fabricated to respectively each integrated circuit modules, or by many in them
Individual module or step are fabricated to single integrated circuit module and realize.So, the present invention be not restricted to any specific hardware and
Software combines.
While it is disclosed that embodiment as above, but described content is only to facilitate understand the present invention and adopt
Embodiment, be not limited to the present invention.Technical staff in any the technical field of the invention, without departing from this
On the premise of spirit and scope disclosed in invention, in form and any amendment and change can be made in details implement,
But protection scope of the present invention, still must be defined in the range of standard with appending claims.
Claims (10)
1. the information processing method towards intelligent robot, it is characterised in that including:
Obtain user input voice messaging go forward side by side lang justice resolve;
Semantic analysis result is carried out intention assessment;
When intention assessment result is the intention that instruction game is opened, described intention assessment result is carried out biological function explore, with really
The game logic that fixed described intention assessment result is corresponding;
According to described game logic, generate corresponding performance data and perform the multi-modal output of correspondence;
When the intention that described intention assessment result is instruction game over, stop the game interaction carrying out with described user.
Method the most according to claim 1, it is characterised in that according to described game logic, generates corresponding performance data
And perform corresponding multi-modal output, including:
According to described game logic, generate the performance data of game relevant issues and export;
Receive user's answer for described problem;
The correct option of described answer with described problem is mated;
Perform the multi-modal output that matching result is corresponding.
Method the most according to claim 2, it is characterised in that perform the multi-modal output that matching result is corresponding, including:
When described matching result indicates described answer correct, output is for guiding described user to carry out next round game interaction
Multi-modal interaction data.
Method the most according to claim 2, it is characterised in that perform the multi-modal output that matching result is corresponding, including:
When described matching result indicates described erroneous answers, output is used for guiding described user again to answer for current problem
Multi-modal interaction data;Or,
Generate for providing the performance data of described correct option and performing the multi-modal output of correspondence, and output is used for guiding use
Family carries out the multi-modal interaction data of next round game interaction.
Method the most according to any one of claim 1 to 4, it is characterised in that also include:
Before stopping described game interaction, the multi-modal interaction data that output closes to an end for pointing out described user to play.
6. the information processing system towards intelligent robot, it is characterised in that including:
Voice messaging acquisition module, is set to obtain the voice messaging of user's input;
Semantic meaning analysis module, is set to described voice messaging carries out semantic parsing;
Intention assessment module, is set to semantic analysis result is carried out intention assessment;
Biological function explore module, is set to, when intention assessment result is the intention that instruction game is opened, tie described intention assessment
Fruit carries out biological function explore, the game logic corresponding to determine described intention assessment result;
Output module, is set to, according to described game logic, generate corresponding performance data and perform the multi-modal output of correspondence;
Stopping modular, is set to, when the intention that described intention assessment result is instruction game over, stop entering with described user
The game interaction of row.
System the most according to claim 6, it is characterised in that described output module, including:
Performance data signal generating unit, is set to, according to described game logic, generate the performance data of game relevant issues;
First output unit, is set to export described performance data;
Receive unit, be set to the answer receiving user for described problem;
Matching unit, is set to mate the correct option of described answer with described problem;
Second output unit, is arranged to carry out the multi-modal output that matching result is corresponding.
System the most according to claim 7, it is characterised in that described second output unit is specifically configured to:
When described matching result indicates described answer correct, output is for guiding described user to carry out next round game interaction
Multi-modal interaction data.
System the most according to claim 7, it is characterised in that described second output unit is specifically configured to:
When described matching result indicates described erroneous answers, output is used for guiding described user again to answer for current problem
Multi-modal interaction data;Or
Generate for providing the performance data of described correct option and performing the multi-modal output of correspondence, and output is used for guiding use
Family carries out the multi-modal interaction data of next round game interaction.
10. according to the system according to any one of claim 6 to 8, it is characterised in that also include reminding module, be set to:
Described stopping modular stops before described game interaction, output for point out that described user game closes to an end multi-modal alternately
Data.
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106716934A (en) * | 2016-12-23 | 2017-05-24 | 深圳前海达闼云端智能科技有限公司 | Chat interaction method and apparatus, and electronic device thereof |
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Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1272800A (en) * | 1998-04-16 | 2000-11-08 | 创造者有限公司 | Interactive toy |
JP2003210833A (en) * | 2002-01-17 | 2003-07-29 | Aruze Corp | Conversation game system, conversation game method and program |
CN1518731A (en) * | 2001-06-20 | 2004-08-04 | 跳蛙企业股份有限公司 | Interactive apparatus with templates |
CN1950133A (en) * | 2004-05-10 | 2007-04-18 | 世嘉股份有限公司 | Electronic game machine, data processing method in electronic game machine, program and storage medium for the same |
CN101013571A (en) * | 2007-01-30 | 2007-08-08 | 无敌科技(西安)有限公司 | Interaction method and system for using voice order |
JP2008033198A (en) * | 2006-08-01 | 2008-02-14 | Nec System Technologies Ltd | Voice interaction system, voice interaction method, voice input device and program |
CN101801483A (en) * | 2007-09-12 | 2010-08-11 | 迪士尼企业公司 | System and method of distributed control of an interactive animatronic show |
CN103019535A (en) * | 2011-10-10 | 2013-04-03 | 微软公司 | Speech recognition for context switching |
CN103301629A (en) * | 2012-03-05 | 2013-09-18 | 环球娱乐株式会社 | Gaming machine, and control method of same |
CN203276642U (en) * | 2013-06-04 | 2013-11-06 | 史寒松 | Idiom stringing game platform |
JP2015102795A (en) * | 2013-11-27 | 2015-06-04 | シャープ株式会社 | Voice recognition terminal, server, control method for server, voice recognition system, control program for voice recognition terminal, and control program for server |
CN106055605A (en) * | 2016-05-25 | 2016-10-26 | 深圳市童伴互动文化产业发展有限公司 | Voice interaction control method and apparatus thereof |
-
2016
- 2016-07-08 CN CN201610537815.2A patent/CN106205612B/en active Active
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1272800A (en) * | 1998-04-16 | 2000-11-08 | 创造者有限公司 | Interactive toy |
CN1518731A (en) * | 2001-06-20 | 2004-08-04 | 跳蛙企业股份有限公司 | Interactive apparatus with templates |
JP2003210833A (en) * | 2002-01-17 | 2003-07-29 | Aruze Corp | Conversation game system, conversation game method and program |
CN1950133A (en) * | 2004-05-10 | 2007-04-18 | 世嘉股份有限公司 | Electronic game machine, data processing method in electronic game machine, program and storage medium for the same |
JP2008033198A (en) * | 2006-08-01 | 2008-02-14 | Nec System Technologies Ltd | Voice interaction system, voice interaction method, voice input device and program |
CN101013571A (en) * | 2007-01-30 | 2007-08-08 | 无敌科技(西安)有限公司 | Interaction method and system for using voice order |
CN101801483A (en) * | 2007-09-12 | 2010-08-11 | 迪士尼企业公司 | System and method of distributed control of an interactive animatronic show |
CN103019535A (en) * | 2011-10-10 | 2013-04-03 | 微软公司 | Speech recognition for context switching |
CN103301629A (en) * | 2012-03-05 | 2013-09-18 | 环球娱乐株式会社 | Gaming machine, and control method of same |
CN203276642U (en) * | 2013-06-04 | 2013-11-06 | 史寒松 | Idiom stringing game platform |
JP2015102795A (en) * | 2013-11-27 | 2015-06-04 | シャープ株式会社 | Voice recognition terminal, server, control method for server, voice recognition system, control program for voice recognition terminal, and control program for server |
CN106055605A (en) * | 2016-05-25 | 2016-10-26 | 深圳市童伴互动文化产业发展有限公司 | Voice interaction control method and apparatus thereof |
Cited By (28)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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CN106716934B (en) * | 2016-12-23 | 2020-08-04 | 深圳前海达闼云端智能科技有限公司 | Chat interaction method and device and electronic equipment thereof |
CN106874406A (en) * | 2017-01-18 | 2017-06-20 | 北京光年无限科技有限公司 | A kind of interactive output intent for robot |
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CN106959837A (en) * | 2017-02-20 | 2017-07-18 | 北京光年无限科技有限公司 | A kind of man-machine interaction method and device for intelligent robot |
CN106959837B (en) * | 2017-02-20 | 2020-06-26 | 北京光年无限科技有限公司 | Man-machine interaction method and device for intelligent robot |
CN106991123A (en) * | 2017-02-27 | 2017-07-28 | 北京光年无限科技有限公司 | A kind of man-machine interaction method and device towards intelligent robot |
CN106951091A (en) * | 2017-03-29 | 2017-07-14 | 联想(北京)有限公司 | Processing method and equipment |
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WO2019007247A1 (en) * | 2017-07-04 | 2019-01-10 | 阿里巴巴集团控股有限公司 | Human-machine conversation processing method and apparatus, and electronic device |
CN107817799A (en) * | 2017-11-03 | 2018-03-20 | 北京光年无限科技有限公司 | The method and system of intelligent interaction are carried out with reference to virtual maze |
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