CN107633473A - Service assessment indicator Validity ensuring method based on virtual reality - Google Patents
Service assessment indicator Validity ensuring method based on virtual reality Download PDFInfo
- Publication number
- CN107633473A CN107633473A CN201710708276.9A CN201710708276A CN107633473A CN 107633473 A CN107633473 A CN 107633473A CN 201710708276 A CN201710708276 A CN 201710708276A CN 107633473 A CN107633473 A CN 107633473A
- Authority
- CN
- China
- Prior art keywords
- data
- experiencer
- experience
- service
- virtual reality
- Prior art date
- Legal status (The legal status 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 status listed.)
- Granted
Links
Landscapes
- Electrically Operated Instructional Devices (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
The present invention proposes a kind of service assessment indicator Validity ensuring method based on virtual reality, including：Obtain the test data of experiencer；Data cleansing is carried out to test data, obtains the condition information of experiencer；By condition information transfer to CNCA data center；The relevant information of condition information and experiencer is analyzed, generates the experience a reference value of special services field experiencer corresponding to each variable, and generate common experience section and improper experience interval range；Certification authority gathers the evaluating data of service request, transmits to CNCA information centre, proposes to reject to carry out invalid data；Export final valid data；When valid data amount reaches pre-set level, study mechanism is set, virtual auditor is formed, carries out the experience under pure artificial intelligence environment.Recall present invention, avoiding experiencer afterwards during because memory deviation or artificial questionnaire design are misled and caused by interference, the validity of authentication result can be effectively improved.
Description
Technical field
The present invention relates to authentication techniques field, more particularly to a kind of service assessment indicator Validity based on virtual reality
Ensuring method.
Background technology
Current Verification System when authentication result is evaluated mainly by the way of customer satisfaction degree evaluation is recalled afterwards, and
Many interference in the mode of this memory be present, such as：Service evaluation person (experiencer) is fluctuated to service experience because of own situation
Caused by interference；Certification authority is to evaluation procedure and the artificial disturbance of result.In other words, meeting experiencer recalls afterwards during
Misled and caused interference in the presence of memory deviation or artificial questionnaire design, this causes final authentication result inaccurate, validity
It is not high.
The content of the invention
It is contemplated that at least solves one of above-mentioned technical problem.
Therefore, it is an object of the invention to propose a kind of service assessment indicator Validity guarantor based on virtual reality
Method, recall this method avoid experiencer afterwards during because memory deviation or artificial questionnaire design mislead and caused by interference,
The validity of authentication result can be effectively improved.
To achieve these goals, embodiments of the invention propose a kind of service assessment indicator letter based on virtual reality
Validity ensuring method is spent, is comprised the following steps：S1：The test data of experiencer is obtained, wherein, the test data includes initial
Behavioral data and initial evaluation data；S2：Data cleansing is carried out to the test data, obtains the condition letter of experiencer
Breath；S3：By the condition information transfer of the experiencer to CNCA data center；S4：The CNCA number
The relevant information of the condition information and experiencer is analyzed according to center, generates special services corresponding to each variable
The experience a reference value of field experiencer, and generate common experience section and improper experience interval range；S5：Certification authority gathers
The evaluating data of service request, and transmit to CNCA information centre, propose to reject to carry out invalid data；S6：Output
Final valid data；S7：When valid data amount reaches pre-set level, study mechanism is set, so that AI programs carry out each pass
Study under keyword state, virtual auditor is formed, carry out the experience under pure artificial intelligence environment.
In addition, the service assessment indicator Validity ensuring method according to the above embodiment of the present invention based on virtual reality
There can also be technical characteristic additional as follows：
In some instances, the S1, further comprises：S11：In laboratory environments, gather all ages and classes, sex,
Educational background, native place, specialty background experiencer electrocardiogram (ECG) data and eeg data；S12：At the scene under environment, dynamic acquisition experience
The electrocardiogram (ECG) data and eeg data of person, Mobile state of going forward side by side marking.
In some instances, in the S12, Mobile state is entered by mobile terminal and given a mark, is specifically included：Auditor's information
Registration, assessment item marking, the output of the audio-visual sampling functions in evaluation procedure, evaluation result radar map, auditor's evaluation procedure
In electrocardio, eeg data synchronization typing.
In some instances, the S2, further comprises：S21：Service to being measured under laboratory environment in the S11
Initial behavioral data and the initial evaluation data of experiencer carry out data cleansing, after rejecting invalid data, by laboratory director
Typing laboratory data center, and according to experiencer's behavioral data of collection, the health and the heart of experiencer are analyzed in advance
Feelings；S22：Initial behavioral data and the initial evaluation data of service experience person to being measured under site environment in the S12 are carried out
Data cleansing, by typing certification authority of certification authority according to data center, the health, mood and clothes of experiencer are analyzed in advance
It is engaged in the time experienced.
In some instances, the S3, further comprises：S31：The laboratory data center is by logging data to country
Ren Jianwei data centers are imported；S32：The data center of certification authority is by logging data to CNCA data center
Imported.
In some instances, the S4, further comprises：The CNCA data center is by laboratory data center
The data collected with data center of certification authority, according to sex, age, family, educational background, occupation, income, and experiencer in body
Health, mood and these variables of the time of service experience during service are tested, analysis forms specific clothes corresponding to each variable
Laboratory experience a reference value and On-site Experience a reference value of the business field experiencer during service experience, and form common experience
Section and improper experience interval range.
In some instances, the improper experience interval range is divided into attractive quality KANO sections and overturns quality area
Between.
In some instances, the S5, further comprises：Certification authority carries out the service authentication work in exemplary service field
When, for the evaluating data of service request, be acquired by mobile terminal, and be transferred to certification authority, according to the S12,
The S22, the path transmission of the S32 enter invalid data rejecting to CNCA information centre.
In some instances, the S6, further comprises：S61：Certification authority, which draws, to be commented the accurate of special services experience
Valency, provided to Servers Organization, the evaluation result of the special services is exported in the form of radar map, and each effective evaluation
Sample is simultaneously comprising auditor electrocardiogram (ECG) data and/or eeg data in experience of the process；S62：The sample in KANO sections, overturn
The sample in section, for crucial attractive quality point under various scenes of certification authority and exemplary service enterprise diagnosis exemplary service,
Minimum expectation meets point, overturned a little；S63：By the data in the S5 according to age, sex, educational background, native place, specialty background, body
These variables of time are tested, analyze factor of influence of each variable for result data respectively, form a certain special services field, this
A little variables obtain the key population of special services for the factor of influence storehouse of service experience result, and dependency relation analysis.
In some instances, in the S62, it is described overturn a little for serv-fail reason and customer it is dissatisfied, complain and
Complain the lowest threshold occurred.
Service assessment indicator Validity ensuring method based on virtual reality according to embodiments of the present invention, compared to tradition
Authenticated data and data by each mechanism distributed and saved, and part reports the pattern of CNCA, and this method eliminates two
The interference of aspect：Service evaluation person (experiencer) disturbs because own situation fluctuates caused by service experience, and certification authority
To evaluation procedure and the artificial disturbance of result；In addition, this method changes the mode that traditional customer satisfaction degree evaluation is recalled afterwards,
Using handheld terminal and special services evaluation APP, with reference to wearable electrocardio and brain wave acquisition equipment, during service experience
Synchronous acquisition, it effectively prevent experiencer recalls afterwards during because memory deviation or artificial questionnaire design are misled and are produced
Interference, so as to effectively improve the validity of authentication result；In addition, while interference is removed, certification knot is also improved
The public credibility of fruit, the authority of unified authorities is strengthened, embody conformity assessment conscientiously and transmit the theory trusted.
The additional aspect and advantage of the present invention will be set forth in part in the description, and will partly become from the following description
Obtain substantially, or recognized by the practice of the present invention.
Brief description of the drawings
The above-mentioned and/or additional aspect and advantage of the present invention will become in the description from combination accompanying drawings below to embodiment
Substantially and it is readily appreciated that, wherein：
Fig. 1 is the service assessment indicator Validity ensuring method according to an embodiment of the invention based on virtual reality
Flow chart；
Fig. 2 is the service assessment indicator Validity ensuring method according to an embodiment of the invention based on virtual reality
Realization principle schematic diagram.
Embodiment
Embodiments of the invention are described below in detail, the example of the embodiment is shown in the drawings, wherein from beginning to end
Same or similar label represents same or similar element or the element with same or like function.Below with reference to attached
The embodiment of figure description is exemplary, is only used for explaining the present invention, and is not considered as limiting the invention.
In the description of the invention, it is to be understood that term " " center ", " longitudinal direction ", " transverse direction ", " on ", " under ",
The orientation or position relationship of the instruction such as "front", "rear", "left", "right", " vertical ", " level ", " top ", " bottom ", " interior ", " outer " are
Based on orientation shown in the drawings or position relationship, it is for only for ease of the description present invention and simplifies description, rather than instruction or dark
Show that the device of meaning or element there must be specific orientation, with specific azimuth configuration and operation, thus it is it is not intended that right
The limitation of the present invention.In addition, term " first ", " second " are only used for describing purpose, and it is not intended that instruction or hint are relative
Importance.
In the description of the invention, it is necessary to illustrate, unless otherwise clearly defined and limited, term " installation ", " phase
Even ", " connection " should be interpreted broadly, for example, it may be being fixedly connected or being detachably connected, or be integrally connected；Can
To be mechanical connection or electrical connection；Can be joined directly together, can also be indirectly connected by intermediary, Ke Yishi
The connection of two element internals.For the ordinary skill in the art, with concrete condition above-mentioned term can be understood at this
Concrete meaning in invention.
Below in conjunction with the accompanying drawing description service assessment indicator Validity based on virtual reality according to embodiments of the present invention
Ensuring method.
Fig. 1 is the service assessment indicator Validity ensuring method according to an embodiment of the invention based on virtual reality
Flow chart.Fig. 2 is the service assessment indicator Validity guarantor according to an embodiment of the invention based on virtual reality
The realization principle schematic diagram of method.As shown in figure 1, and combine Fig. 2, this method comprises the following steps：
Step S1：The test data of experiencer is obtained, wherein, test data is data and initial evaluation number including initial row
According to.
Specifically, step S1, further comprise：
S11：In laboratory environments, gather all ages and classes, sex, educational background, native place, specialty background experiencer electrocardio
Data and eeg data.In specific example, for example, convening the tester of all ages and classes, sex, educational background, native place, specialty background
Member (experiencer) in laboratory environments, using virtual reality (VR) equipment, strengthens program with reference to the scene of special services, carried out
The data such as the service experience under laboratory environment, collection electrocardio, brain electricity.
S12：At the scene under environment, the electrocardiogram (ECG) data and eeg data of dynamic acquisition experiencer, Mobile state of going forward side by side marking.Its
In, in step s 12, Mobile state is entered by mobile terminal and given a mark, is specifically included：Auditor's information is registered, assessment item is given a mark,
Audio-visual sampling functions, the output of evaluation result radar map, the electrocardio in auditor's evaluation procedure, eeg data in evaluation procedure is same
Walk typing.
It is service experience tester's (i.e. body for example, by wearable electrocardio, brain wave acquisition equipment in specific example
The person of testing, including service authentication auditor) a large amount of configuration, in service experience, the number such as the electrocardio of dynamic acquisition tester, brain electricity
According to, and combine cell phone application etc. and enter Mobile state marking in service process, cell phone application end function includes：The registration of auditor's information,
In the functions such as the audio-visual sampling in assessment item marking, evaluation procedure, the output of evaluation result radar map, auditor's evaluation procedure
Electrocardio (brain electricity) data syn-chronization typing.
Step S2：Data cleansing is carried out to test data, obtains the condition information of experiencer.
Specifically, step S2, further comprise：
S21：To initial behavioral data and the initial evaluation number of the service experience person measured under laboratory environment in step S11
According to data cleansing is carried out, after rejecting invalid data, by laboratory director's typing laboratory data center, and according to the body of collection
The person's of testing behavioral data, the health and mood states of experiencer are analyzed in advance.
S22：To initial behavioral data and the initial evaluation data of the service experience person measured under site environment in step S12
Data cleansing is carried out, by typing certification authority of certification authority according to data center, analyzes health, the mood of experiencer in advance
And the time (service peak valley) of service experience.
Step S3：By the condition information transfer of experiencer to CNCA data center.
Specifically, step S3, further comprise：
S31：Laboratory data center is imported logging data to CNCA data center.
S32：Data center of certification authority is imported logging data to CNCA data center.
Step S4：CNCA data center is analyzed the relevant information of condition information and experiencer, raw
Into the experience a reference value of special services field experiencer corresponding to each variable, and generate common experience section and improper experience
Interval range.
Specifically, step S4, further comprise：CNCA data center is by laboratory data center and certification authority
The data that data center collects, experienced according to sex, age, family, educational background, occupation, income, and experiencer when servicing
Time (season, the service peak valley) of health, mood and service experience these variables, analysis forms special corresponding to each variable
Determine the laboratories such as electrocardio of the service field experiencer during service experience, brain electricity experience a reference value (interval limit) and
On-site Experience a reference value (the section upper limit), and further form common experience section and improper experience interval range.Wherein, it is non-
Normal experience interval range is divided into attractive quality KANO sections and overturns quality section.It is specific with the continuous expansion of data pool
The setting of the interval value of service will be more and more accurate.
Step S5：Certification authority gathers the evaluating data of service request, and transmits to CNCA information centre, to enter
Row invalid data proposes to reject.
Specifically, step S5, further comprise：It is right when certification authority carries out the service authentication work in exemplary service field
In the evaluating data of service request, it is acquired by mobile terminal, and is transferred to certification authority, according to step S12, step
S22, step S32 path transmission enter invalid data rejecting to CNCA information centre.Meanwhile this partial data is in itself
Also assist in the formation of data pool so that the sample size of data pool further expands.Wherein, mobile terminal is, for example, that experiencer holds
Mobile device, the mobile device has supporting APP, such as mobile phone etc..
Step S6：Export final valid data.
Specifically, step S6, further comprise：
S61：Certification authority draws the accurate evaluation to special services experience, is provided to Servers Organization, and special services are commented
Valency result is exported in the form of radar map, and each effective evaluation sample is simultaneously comprising auditor the heart in experience of the process
Electric data and/or eeg data.
S62：The sample in KANO sections, the sample for overturning section (serv-fail), for certification authority and exemplary service enterprise
Analyze crucial attractive quality point (the optimal acquisition point of customer loyalty) of the exemplary service under various scenes, minimum it is expected to meet
Point, overturn a little.Wherein, in step S62, overturn and be a little unsatisfied with, complain and complain what is occurred for serv-fail reason and customer
Lowest threshold.
S63：By the data in step S5 according to age, sex, educational background, native place, specialty background, experience time (season, clothes
Business peak valley) these variables, factor of influence of each variable for result data is analyzed respectively, forms a certain special services field,
These variables for service experience result factor of influence storehouse, and dependency relation analysis, obtain the key population of special services.
Wherein, such as principal component analysis, structural equation model etc. can be combined, each variable is carried out for result using SPSS, AMOS software
The analysis of the factor of influence of data.
Step S7：When valid data amount reaches pre-set level, study mechanism is set, so that AI programs carry out each keyword
Study under state, virtual auditor is formed, carry out the experience under pure artificial intelligence environment.
To sum up, the service assessment indicator Validity ensuring method based on virtual reality according to embodiments of the present invention, phase
Than traditional authenticated data and data by each mechanism distributed and saved, and part reports the pattern of CNCA, and this method removes
The interference of two aspects：Service evaluation person (experiencer) disturbs because own situation fluctuates caused by service experience, and recognizes
Mechanism is demonstrate,proved to evaluation procedure and the artificial disturbance of result；Recall afterwards in addition, this method changes traditional customer satisfaction degree evaluation
Mode, APP is evaluated using handheld terminal and special services, with reference to wearable electrocardio and brain wave acquisition equipment, in service body
Synchronous acquisition during testing, it effectively prevent experiencer recalls afterwards during because memory deviation or artificial questionnaire design are missed
Lead and caused interference, so as to effectively improve the validity of authentication result；In addition, while interference is removed, also lifted
The public credibility of authentication result, the authority of unified authorities is strengthened, conscientiously embody conformity assessment and transmit the reason trusted
Read.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or the spy for combining the embodiment or example description
Point is contained at least one embodiment or example of the present invention.In this manual, to the schematic representation of above-mentioned term not
Necessarily refer to identical embodiment or example.Moreover, specific features, structure, material or the feature of description can be any
One or more embodiments or example in combine in an appropriate manner.
Although an embodiment of the present invention has been shown and described, it will be understood by those skilled in the art that：Not
In the case of departing from the principle and objective of the present invention a variety of change, modification, replacement and modification can be carried out to these embodiments, this
The scope of invention is by claim and its equivalent limits.
Claims (10)
1. a kind of service assessment indicator Validity ensuring method based on virtual reality, it is characterised in that comprise the following steps：
S1：The test data of experiencer is obtained, wherein, the test data is data and initial evaluation data including initial row；
S2：Data cleansing is carried out to the test data, obtains the condition information of experiencer；
S3：By the condition information transfer of the experiencer to CNCA data center；
S4：The CNCA data center is analyzed the relevant information of the condition information and experiencer, raw
Into the experience a reference value of special services field experiencer corresponding to each variable, and generate common experience section and improper experience
Interval range；
S5：Certification authority gathers the evaluating data of service request, and transmits to CNCA information centre, to carry out invalid number
Rejected according to proposition；
S6：Export final valid data；
S7：When valid data amount reaches pre-set level, study mechanism is set, so that AI programs are carried out under each keyword state
Study, forms virtual auditor, carries out the experience under pure artificial intelligence environment.
2. the service assessment indicator Validity ensuring method according to claim 1 based on virtual reality, its feature exist
In the S1, further comprising：
S11：In laboratory environments, gather all ages and classes, sex, educational background, native place, specialty background experiencer electrocardiogram (ECG) data
And eeg data；
S12：At the scene under environment, the electrocardiogram (ECG) data and eeg data of dynamic acquisition experiencer, Mobile state of going forward side by side marking.
3. the service assessment indicator Validity ensuring method according to claim 2 based on virtual reality, its feature exist
In, in the S12, by mobile terminal enter Mobile state give a mark, specifically include：
The registration of auditor's information, assessment item marking, the audio-visual sampling functions in evaluation procedure, evaluation result radar map output,
Electrocardio, eeg data synchronization typing in auditor's evaluation procedure.
4. the service assessment indicator Validity ensuring method according to claim 2 based on virtual reality, its feature exist
In the S2, further comprising：
S21：Initial behavioral data and the initial evaluation data of service experience person to being measured under laboratory environment in the S11 are entered
Row data cleansing, after rejecting invalid data, by laboratory director's typing laboratory data center, and according to the experiencer of collection
Behavioral data, the health and mood of experiencer are analyzed in advance；
S22：Initial behavioral data and the initial evaluation data of service experience person to being measured under site environment in the S12 are carried out
Data cleansing, by typing certification authority of certification authority according to data center, the health, mood and clothes of experiencer are analyzed in advance
It is engaged in the time experienced.
5. the service assessment indicator Validity ensuring method according to claim 4 based on virtual reality, its feature exist
In the S3, further comprising：
S31：The laboratory data center is imported logging data to CNCA data center；
S32：The data center of certification authority is imported logging data to CNCA data center.
6. the service assessment indicator Validity ensuring method according to claim 5 based on virtual reality, its feature exist
In the S4, further comprising：
The data that the CNCA data center collects laboratory data center and data center of certification authority, according to property
Not, age, family, educational background, occupation, income, and experiencer are experiencing health when servicing, mood and service experience
These variables of time, analysis form laboratory of the special services field experiencer during service experience corresponding to each variable
A reference value and On-site Experience a reference value are experienced, and forms common experience section and improper experience interval range.
7. the service assessment indicator Validity ensuring method according to claim 6 based on virtual reality, its feature exist
In the improper experience interval range is divided into attractive quality KANO sections and overturns quality section.
8. the service assessment indicator Validity ensuring method according to claim 7 based on virtual reality, its feature exist
In the S5, further comprising：
When certification authority carries out the service authentication work in exemplary service field, for the evaluating data of service request, pass through movement
Terminal is acquired, and is transferred to certification authority, recognizes prison according to the S12, the S22, the S32 path transmission to country
Entrust information centre, enters invalid data rejecting.
9. the service assessment indicator Validity ensuring method according to claim 8 based on virtual reality, its feature exist
In the S6, further comprising：
S61：Certification authority draws the accurate evaluation to special services experience, is provided to Servers Organization, and the special services are commented
Valency result is exported in the form of radar map, and each effective evaluation sample is simultaneously comprising auditor the heart in experience of the process
Electric data and/or eeg data；
S62：The sample in KANO sections, the sample for overturning section, exist for certification authority and exemplary service enterprise diagnosis exemplary service
Crucial attractive quality point, minimum expectation under various scenes meet point, overturned a little；
S63：By the data in the S5 according to age, sex, educational background, native place, specialty background, these variables of experience time, divide
Factor of influence of each variable for result data is not analyzed, forms a certain special services field, these variables are for servicing body
The factor of influence storehouse of result, and dependency relation analysis are tested, obtains the key population of special services.
10. the service assessment indicator Validity ensuring method according to claim 9 based on virtual reality, its feature exist
In in the S62, described overturn a little is unsatisfied with, complains and complained the lowest threshold occurred for serv-fail reason and customer.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710708276.9A CN107633473B (en) | 2017-08-17 | 2017-08-17 | Service evaluation index reliability and validity guaranteeing method based on virtual reality |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710708276.9A CN107633473B (en) | 2017-08-17 | 2017-08-17 | Service evaluation index reliability and validity guaranteeing method based on virtual reality |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107633473A true CN107633473A (en) | 2018-01-26 |
| CN107633473B CN107633473B (en) | 2021-02-19 |
Family
ID=61099643
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710708276.9A Active CN107633473B (en) | 2017-08-17 | 2017-08-17 | Service evaluation index reliability and validity guaranteeing method based on virtual reality |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107633473B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108596792A (en) * | 2018-05-09 | 2018-09-28 | 安徽老乡鸡餐饮有限公司 | Improve the device of Customer Experience |
| CN109272188A (en) * | 2018-07-26 | 2019-01-25 | 上海质量管理科学研究院 | Customer Experience assessment authentication application system based on service characteristic |
| CN112116380A (en) * | 2020-08-31 | 2020-12-22 | 南京理工大学 | Dynamic satisfaction-based intelligent interactive information terminal visualization method |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101795620A (en) * | 2007-08-28 | 2010-08-04 | 神经焦点公司 | Consumer experience assessment system |
| CN104732404A (en) * | 2015-02-11 | 2015-06-24 | 广东金熙商业建设股份有限公司 | O2O user, environment and product intelligent experience and modularized construction system |
| KR20160063438A (en) * | 2014-11-25 | 2016-06-07 | 전자부품연구원 | Personalized user experience profiling system and method applying thereto |
| CN105824888A (en) * | 2016-03-10 | 2016-08-03 | 深圳创达云睿智能科技有限公司 | Music playing control method and device based on brain waves |
| CN106202860A (en) * | 2016-06-23 | 2016-12-07 | 南京邮电大学 | A kind of mood regulation service push method and wearable collaborative supplying system |
| JP6046552B2 (en) * | 2013-04-30 | 2016-12-14 | 日本電信電話株式会社 | QoE estimation device, method and program in QoE estimation device |
-
2017
- 2017-08-17 CN CN201710708276.9A patent/CN107633473B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101795620A (en) * | 2007-08-28 | 2010-08-04 | 神经焦点公司 | Consumer experience assessment system |
| JP6046552B2 (en) * | 2013-04-30 | 2016-12-14 | 日本電信電話株式会社 | QoE estimation device, method and program in QoE estimation device |
| KR20160063438A (en) * | 2014-11-25 | 2016-06-07 | 전자부품연구원 | Personalized user experience profiling system and method applying thereto |
| CN104732404A (en) * | 2015-02-11 | 2015-06-24 | 广东金熙商业建设股份有限公司 | O2O user, environment and product intelligent experience and modularized construction system |
| CN105824888A (en) * | 2016-03-10 | 2016-08-03 | 深圳创达云睿智能科技有限公司 | Music playing control method and device based on brain waves |
| CN106202860A (en) * | 2016-06-23 | 2016-12-07 | 南京邮电大学 | A kind of mood regulation service push method and wearable collaborative supplying system |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108596792A (en) * | 2018-05-09 | 2018-09-28 | 安徽老乡鸡餐饮有限公司 | Improve the device of Customer Experience |
| CN109272188A (en) * | 2018-07-26 | 2019-01-25 | 上海质量管理科学研究院 | Customer Experience assessment authentication application system based on service characteristic |
| CN112116380A (en) * | 2020-08-31 | 2020-12-22 | 南京理工大学 | Dynamic satisfaction-based intelligent interactive information terminal visualization method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107633473B (en) | 2021-02-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Arnaboldi et al. | Egocentric online social networks: Analysis of key features and prediction of tie strength in Facebook | |
| CN107633473A (en) | Service assessment indicator Validity ensuring method based on virtual reality | |
| CN107341098A (en) | Software performance testing method, platform, equipment and storage medium | |
| CN107688530A (en) | Method for testing software and device | |
| Peixoto et al. | Phylogenetic conservatism of climatic niche in bats | |
| CN103259805B (en) | The domain name access control method evaluated based on user and system | |
| CN107294919A (en) | A kind of detection method and device of horizontal authority leak | |
| CN104427547B (en) | Business and network associate method of testing, apparatus and system | |
| Chen et al. | Large-scale mobile fitness app usage analysis for smart health | |
| CN109615202A (en) | Family doctor's performance appraisal method, apparatus, equipment and storage medium | |
| CN109086422A (en) | A kind of recognition methods, device, server and the storage medium of machine barrage user | |
| CN105183925A (en) | Content association recommending method and content association recommending device | |
| CN108768921A (en) | A kind of malicious web pages discovery method and system of feature based detection | |
| CN107403397A (en) | A kind of college entrance will calculated based on gunz makes a report on analysis system | |
| CN109426655A (en) | Data analysing method, device, electronic equipment and computer readable storage medium | |
| CN109558983A (en) | Network courses dropping rate prediction technique and device | |
| CN109920498A (en) | Interpersonal relationships prediction technique based on mood brain electroresponse similitude | |
| CN107301497A (en) | The method and system of working memory ability evaluation | |
| CN107483267A (en) | A kind of EIGRP routing failures recognition methods | |
| CN106920429A (en) | A kind of information processing method and device | |
| CN110472162A (en) | Appraisal procedure, system, terminal and readable storage medium storing program for executing | |
| CN106230653A (en) | A kind of data integration method with MAC code as major key | |
| Castellano et al. | Employing big data & analytics in decision-making: Factors affecting managers’ trustworthiness | |
| CN106650698A (en) | Data acquisition method and system based on intelligent platform | |
| CN103605670B (en) | A kind of method and apparatus for determining the crawl frequency of network resource point |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |