CN110120170A - A kind of educational robot with mood setting - Google Patents
A kind of educational robot with mood setting Download PDFInfo
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- CN110120170A CN110120170A CN201910319482.XA CN201910319482A CN110120170A CN 110120170 A CN110120170 A CN 110120170A CN 201910319482 A CN201910319482 A CN 201910319482A CN 110120170 A CN110120170 A CN 110120170A
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- 230000036651 mood Effects 0.000 title claims abstract description 14
- 238000012549 training Methods 0.000 claims abstract description 8
- 230000006399 behavior Effects 0.000 claims description 6
- 230000003993 interaction Effects 0.000 claims description 4
- 230000000295 complement effect Effects 0.000 claims description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
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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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B19/00—Teaching not covered by other main groups of this subclass
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- Human Resources & Organizations (AREA)
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- Electrically Operated Instructional Devices (AREA)
Abstract
The invention discloses a kind of educational robots with mood setting, including Profiling module to establish files on each of customers for obtaining the basic data and expansion data of user；Personality module, for setting the personality data of educational robot；Module is obtained, for obtaining the study habit, learning interest and learning ability of user；Training module guides user to complete study for formulating corresponding study plan and mode of learning according to the study habit, learning interest and learning ability of user according to the personality data of educational robot.The present invention sets the personality data of educational robot, can formulate corresponding study plan and mode of learning according to the study habit, learning interest and learning ability of user, guide user to complete study according to the personality data of educational robot.
Description
Technical field
The present invention relates to a kind of educational robots with mood setting.
Background technique
With the continuous development of science and technology, the introducing of information technology, computer technology and artificial intelligence technology, machine
Industrial circle is gradually walked out in the research of people, gradually extends to the neck such as medical treatment, health care, family, amusement and service industry
Domain.Requirement of the people for robot also conform to the principle of simplicity single duplicate mechanical action be promoted to, independence intelligent with height and with
The intelligent robot of other intelligent bodies interaction.And existing educational robot is set without mood mostly.
Summary of the invention
The present invention proposes a kind of educational robot with mood setting, sets the personality data of educational robot, can
To formulate corresponding study plan and mode of learning according to the study habit, learning interest and learning ability of user, according to education
The personality data guidance user of robot completes study.
The technical scheme of the present invention is realized as follows:
A kind of educational robot with mood setting, including
Profiling module establishes files on each of customers for obtaining the basic data and expansion data of user；
Personality module, for setting the personality data of educational robot；
Module is obtained, for obtaining the study habit, learning interest and learning ability of user；
Training module, for formulating corresponding study plan according to the study habit, learning interest and learning ability of user
And mode of learning, guide user to complete study according to the personality data of educational robot.
Preferably, the personality module, the personality data for setting educational robot specifically include setting educational machine
The personality of people is including but not limited to mild, severe, naughty, active；
The training module guides user to complete study, specifically includes according to religion according to the personality data of educational robot
The personality data for educating robot guide user to complete study in a manner of the voice for meeting personality data or animation or game.
Preferably, the personality module is also used to improve educational robot according to the interaction of user and educational robot
Personality data.
Preferably, the personality module is also used to obtain the personality data of user, the personality data to user it is similar or with
The personality data of educational robot are improved in the direction of the personality data complement of user.
Preferably, the acquisition module, the study habit for obtaining user, which is specifically included, completes study habit by user
Questionnaire, which obtains data or observed within a certain period of time by educational robot, obtains corresponding data, and establishes the study habit of user
Model；
The learning interest for obtaining user, which is specifically included, completes learning interest questionnaire acquisition data by user or by educational machine
People observes the behavior of user and the feedback information after study obtains data, establishes the learning interest model of user；
The learning ability for obtaining user, which is specifically included, completes learning ability questionnaire acquisition data by user or by educational machine
People observes the behavior of user and the feedback information after study obtains data, establishes the learning ability model of user.
The beneficial effects of the present invention are: the personality data of educational robot are set, can be practised according to the study of user
Used, learning interest and learning ability formulate corresponding study plan and mode of learning, are drawn according to the personality data of educational robot
It leads user and completes study.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is a kind of functional block diagram of educational robot one embodiment with mood setting of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
As shown in Figure 1, the invention proposes a kind of educational robots with mood setting, including
Profiling module establishes files on each of customers for obtaining the basic data and expansion data of user；The basic data of user
Refer to the information material of user itself, expansion data refers to the information material that toots group is contacted with user；
Personality module, for setting the personality data of educational robot；
Module is obtained, for obtaining the study habit, learning interest and learning ability of user；
Training module, for formulating corresponding study plan according to the study habit, learning interest and learning ability of user
And mode of learning, guide user to complete study according to the personality data of educational robot.
Preferably, personality module, the personality data for setting educational robot specifically include setting educational robot
Personality is including but not limited to mild, severe, naughty, active；
Training module guides user to complete study, specifically includes according to intelligent education machine according to the personality data of educational robot
The personality data of device people guide user to complete study in a manner of the voice for meeting personality data or animation or game.
Specifically, guiding user to complete study according to the personality data of educational robot, for example, if educational robot
Personality be it is mild, then educational robot reads aloud learning Content with mild female voice, if user is correctly completed learning Content, with
Mild female voice compliment urges user to complete or encourage user if not completing with mild tone.
Preferably, personality module is also used to improve the personality of educational robot according to the interaction of user and educational robot
Data.Specifically, in user during being interacted with educational robot, counting user for educational robot personality it is satisfied or
Discontented big data, is calculated user for the tendency of educational robot personality, by the personality data of educational robot towards
The tendency of user is revised.
Preferably, personality module is also used to obtain the personality data of user, and the personality data to user are similar or and user
The direction of personality data complement improve the personality data of educational robot.
Preferably, module is obtained, the study habit for obtaining user, which is specifically included, completes study habit questionnaire by user
It obtains data or is observed within a certain period of time by educational robot and obtain corresponding data, and establish the study habit mould of user
Type；
The learning interest for obtaining user, which is specifically included, completes learning interest questionnaire acquisition data by user or by educational machine
People observes the behavior of user and the feedback information after study obtains data, establishes the learning interest model of user；
The learning ability for obtaining user, which is specifically included, completes learning ability questionnaire acquisition data by user or by educational machine
People observes the behavior of user and the feedback information after study obtains data, establishes the learning ability model of user.
In the specific implementation process, module is obtained in the study habit, learning interest and learning ability for obtaining user, is sentenced
It is disconnected whether to trigger expansion data, if so, training module be used for according to the study habit, learning interest, learning ability of user with
And expand information crowd (such as parent classmate of user etc.) to the influence factor of user formulate corresponding study plan and
Mode of learning.
The beneficial effects of the present invention are: the personality data of educational robot are set, can be practised according to the study of user
Used, learning interest and learning ability formulate corresponding study plan and mode of learning, are drawn according to the personality data of educational robot
It leads user and completes study.
The above is merely preferred embodiments of the present invention, be not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (5)
1. a kind of educational robot with mood setting, which is characterized in that including
Profiling module establishes files on each of customers for obtaining the basic data and expansion data of user；
Personality module, for setting the personality data of educational robot；
Module is obtained, for obtaining the study habit, learning interest and learning ability of user；
Training module, for formulating corresponding study plan and according to the study habit, learning interest and learning ability of user
Habit mode guides user to complete study according to the personality data of educational robot.
2. the educational robot according to claim 1 with mood setting, which is characterized in that the personality module is used
In the personality that the personality data of setting educational robot specifically include setting educational robot include but is not limited to it is mild, severe,
It is naughty, active；
The training module guides user to complete study, specifically includes according to intelligent education machine according to the personality data of educational robot
The personality data of device people guide user to complete study in a manner of the voice for meeting personality data or animation or game.
3. the educational robot according to claim 1 with mood setting, which is characterized in that the personality module, also
For improving the personality data of educational robot according to the interaction of user and educational robot.
4. the educational robot according to claim 1 with mood setting, which is characterized in that the personality module, also
For obtaining the personality data of user, religion is improved in the direction of the similar or personality data complement with user of the personality data to user
Educate the personality data of robot.
5. the educational robot according to claim 1 with mood setting, which is characterized in that the acquisition module is used
It is specifically included in the study habit for obtaining user and study habit questionnaire acquisition data is completed or by educational robot one by user
Interior observation of fixing time obtains corresponding data, and establishes the study habit model of user；
The learning interest for obtaining user, which specifically includes, to be completed learning interest questionnaire acquisition data by user or is seen by educational robot
It examines the behavior of user and the feedback information after study obtains data, establish the learning interest model of user；
The learning ability for obtaining user, which specifically includes, to be completed learning ability questionnaire acquisition data by user or is seen by educational robot
It examines the behavior of user and the feedback information after study obtains data, establish the learning ability model of user.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910319482.XA CN110120170A (en) | 2019-04-19 | 2019-04-19 | A kind of educational robot with mood setting |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910319482.XA CN110120170A (en) | 2019-04-19 | 2019-04-19 | A kind of educational robot with mood setting |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113658467A (en) * | 2021-08-11 | 2021-11-16 | 岳阳天赋文化旅游有限公司 | Interactive system and method for optimizing user behavior |
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| CN106056502A (en) * | 2016-05-30 | 2016-10-26 | 宋华 | Student self education and habit developing training system and method |
| JP2017173546A (en) * | 2016-03-23 | 2017-09-28 | カシオ計算機株式会社 | Learning support device, robot, learning support system, learning support method, and program |
| CN108472811A (en) * | 2017-07-14 | 2018-08-31 | 深圳前海达闼云端智能科技有限公司 | Robot personality setting method, device and robot |
| CN108537321A (en) * | 2018-03-20 | 2018-09-14 | 北京智能管家科技有限公司 | A kind of robot teaching's method, apparatus, server and storage medium |
| CN109262627A (en) * | 2018-10-26 | 2019-01-25 | 深圳市三宝创新智能有限公司 | A kind of machine person to person exchange method and system with a variety of personality |
| CN109614955A (en) * | 2018-12-29 | 2019-04-12 | 苏州科技大学 | A kind of child growth acquired behavior bootstrap technique based on home intelligent robot |
-
2019
- 2019-04-19 CN CN201910319482.XA patent/CN110120170A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101630451A (en) * | 2009-08-26 | 2010-01-20 | 广州市陪你学教育科技有限公司 | Computer assisted instruction (CAI) expert system |
| JP2017173546A (en) * | 2016-03-23 | 2017-09-28 | カシオ計算機株式会社 | Learning support device, robot, learning support system, learning support method, and program |
| CN106056502A (en) * | 2016-05-30 | 2016-10-26 | 宋华 | Student self education and habit developing training system and method |
| CN108472811A (en) * | 2017-07-14 | 2018-08-31 | 深圳前海达闼云端智能科技有限公司 | Robot personality setting method, device and robot |
| CN108537321A (en) * | 2018-03-20 | 2018-09-14 | 北京智能管家科技有限公司 | A kind of robot teaching's method, apparatus, server and storage medium |
| CN109262627A (en) * | 2018-10-26 | 2019-01-25 | 深圳市三宝创新智能有限公司 | A kind of machine person to person exchange method and system with a variety of personality |
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| CN113658467A (en) * | 2021-08-11 | 2021-11-16 | 岳阳天赋文化旅游有限公司 | Interactive system and method for optimizing user behavior |
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Application publication date: 20190813 |