CN105139317B - The cognition index analysis method of interest orientation value test - Google Patents

The cognition index analysis method of interest orientation value test Download PDF

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CN105139317B
CN105139317B CN201510482598.7A CN201510482598A CN105139317B CN 105139317 B CN105139317 B CN 105139317B CN 201510482598 A CN201510482598 A CN 201510482598A CN 105139317 B CN105139317 B CN 105139317B
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database
interest
subject
index
test
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CN105139317A (en
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刘扬
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Beijing Lighthouse Technology Institute
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Beijing Lighthouse Technology Institute
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Abstract

The present invention relates to a kind of cognition index analysis methods of interest orientation value test, which is characterized in that the described method comprises the following steps:Go out the database of at least one related interests type of alignment using the hobby data that subject provides before testing as Keywords matching and provides the database at least one first stimulus information as first database for subject;Determine the interest index for the first feedback information that subject is provided at least one first stimulus information;According at least one interest orientation types of database for providing at least one second stimulus information of the interest Index selection as the second database so that subject provides the second feedback information according at least one second stimulus information;It analyzes second feedback information and determines the interest orientation of subject.

Description

The cognition index analysis method of interest orientation value test
Technical field
The present invention relates to a kind of cognition index analysis methods that technical field of measurement and test more particularly to interest orientation value are test.
Background technology
There are many purposes for interest test, and most typical is exactly the career planning for employee, because a people is always certainly Oneself is made fine at interested thing.In addition interest test can be used for the personalized culture of student, excavate the potential of student, Aspect of entering a higher school and choose a job from now on also provides prodigious help.Higher and higher today is required in machine intelligence, by emerging Interest test enables the machine to accurately identify the hobby and demand of user, personalized service is provided to the user, to assign machine The humanized characteristic of device.The maximum difference of people and machine, which lies also in people, psychological activity, emotion, interest etc., machine for Information is liked upper indifference in emotion and is treated, and people then can unconsciously show interest hobby when receiving, handling expressing information Out, therefore by interest test it can identify that subject is in the case of not contact ac face-to-face with subject People or machine have a wide range of applications in fields such as intelligent recognition, security protections.
The personality of subject is analyzed often through the mode of questionnaire survey in the prior art, it is tested to obtain The field that object may like or be suitble to.But the distortion factor of questionnaire survey is often higher, because people idea often with row To be not consistent, many subconscious behaviors can not be reflected by questionnaire survey, and test result range is wide in range, no It clearly can effectively show whether subject is interested in a certain things.
Foreign countries have the developing history of decades in terms of student enters a higher school with careers guidance, enter a higher school and obtain employment when student faces When, many schools can all provide a variety of psychological tests and student is helped to understand interest, hobby, ability and the personality characteristics of oneself Deng selecting university's aspiration and the following occupation to provide advisory opinion for them.Such as American College Test center (ACT), even more will Guidance pendulum enter a higher school in critical positions, and closely combine with college entrance examination registration, examinee will synchronize carry out psychological test when registering, Student can also obtain a major choice test and appraisal and suggest other than obtaining Entrance Examination.
Due to the particularity of domestic national conditions, the growth environment and social employment environment of student is distinct with foreign countries, because This external guidance of entering a higher school is not appropriate for Chinese student, and the current country enters a higher school, and guidance is main to be also to rely on consulting teacher or kith and kin Deng being affected by environment limitation and artificial subjective factor, still further aspect high school student recognizes self since the age is smaller Know not perfect, the profession made a report on that causes to enter a higher school is not appropriate for oneself, is unfavorable for the abundant excavation of student's potential and the following employment.
Invention content
For the deficiency of the prior art, the present invention provides a kind of cognition index analysis method of interest orientation value test, It is characterized in that, the described method comprises the following steps:
Go out at least one related interests as Keywords matching using the hobby data that subject provides before testing to take To type database and provide at least one first stimulus information using the database as first database for subject;
Determine the interest index for the first feedback information that subject is provided at least one first stimulus information;
According at least one interest orientation class for providing at least one second stimulus information of the interest Index selection Type database is as the second database so that subject provides the second feedback letter according at least one second stimulus information Breath;
It analyzes second feedback information and determines the interest orientation of subject.
According to a preferred embodiment, at least one first stimulus information includes being retouched at least one of the stimulation It states, and each description is given different weights, the interest is calculated according to the corresponding weight of description of subject's selection Index.
According to a preferred embodiment, at least one first stimulus information is with vision, the sense of hearing and/or tactile side The test topic that formula is presented uses five point scale methods at least one description that the test topic is provided.
According to a preferred embodiment, at least one description is specially:Do not meet very much, compare do not meet, one As meet, be more conform with, meet very much, meet the description respectively:It does not meet very much, compare and do not meet, conform generally to, comparing The test question mesh number amount meet, met very much meets normal distribution curve.
According to a preferred embodiment, the analysis method uses sequencing index.
According to a preferred embodiment, the corresponding interest index of its in the first database is selected to be greater than or equal to pre- If the interest orientation types of database of threshold values is that subject continues to provide at least one second stimulus information as the second database.
According to a preferred embodiment, when all interest orientation types of database are corresponding emerging in the first database When interesting index is respectively less than pre-set threshold value, selected from the remaining interest orientation types of database for being different from the first database At least one database provides at least one second stimulus information as the second database for subject.
According to a preferred embodiment, at least one second stimulus information is with vision, the sense of hearing and/or tactile side The test topic that formula is presented, second feedback information are provided by subject according at least one second stimulus information Script, sound wave message, reaction time, eye movement state and/or body action.
According to a preferred embodiment, by the script, the sound wave message, the reaction time, institute The analyzing processing of eye movement state and/or the body action is stated to adjust test question purpose testing sequence, wherein at the analysis Reason includes script accuracy analysis, the semanteme in sound wave message and intonation analysis, the analysis of the length in reaction time, eye movement shape The eye movement of state, blinkpunkt, the blinkpunkt residence time, the analysis of sweep time and/or body action facial expression, limbs The analysis of language.
According to a preferred embodiment, the interest orientation types of database includes literature and art creation type database, art Operational database, consumption service type database, health service type database, service operations type database and education services type number According to library.
The advantageous effects of the present invention:
The personal information data that the present invention is pre-entered according to subject, especially hobby information, using it as pass Keyword is including to match and the relevant database of subject's hobby in the database of multiple and different interest orientation types Carry out first time test and simultaneously calculate corresponding interest index, by for subject provide at least one first stimulus information come pair The interest not being consistent with itself potential that subject thinks is verified and excluded to the hobby that subject oneself thinks Then hobby provides at least one second in interest takes the relevant database of type into second of test is crossed for subject again Stimulus information, subject is according to feedback information caused by the second stimulus information for analysis, and the interest for finally determining subject takes To.For the present invention by testing twice, accuracy is more preferable, can really, objectively reflect the interest of subject, can answer extensively For fields such as selection of talented people, placement, learning ability diagnosis, advertising results, driver safety training.
Description of the drawings
Fig. 1 is the structural schematic diagram of the interest orientation value testing apparatus of the present invention;
Fig. 2 is the flow chart of one embodiment of the cognition index analysis method of the interest orientation value test of the present invention;With
Fig. 3 is the flow chart of another embodiment of the cognition index analysis method of the interest orientation value test of the present invention.
Specific implementation mode
It is described in detail below in conjunction with the accompanying drawings.
Referring to Fig. 1, the invention also includes a kind of device of interest orientation value test, which includes that stimulus information provides dress It sets, transmission log device, analysis processing device, interest orientation types of database and display device.Stimulus information provide device with Transmission log device connects, and transmission log device is for recording and transmitting the feedback letter that subject is provided according to stimulus information Breath.Transmission log device is by the transmission of feedback information recorded to analysis processing device connected to it.Analysis processing device packet It includes multiple interest orientation types of database or analysis processing device and stores the storage of multiple interest orientation types of database Device connects.Display device is connect with analysis processing device, and display device is used to show the analysis result of analysis processing device, That is, the interest orientation and interest orientation value of subject.
It includes that stimulus information device is presented in vision, stimulus information device is presented in the sense of hearing and tactile is in that stimulus information, which provides device, Existing stimulus information device, stimulus information is provided in terms of vision, the sense of hearing and/or tactile for subject.Wherein, stimulation is presented in vision Massaging device is computer screen or touch display screen/non-tactile display screen of tablet computer or smart mobile phone.The sense of hearing It can be the device that earphone, sound equipment, loudspeaker etc. have AF playing function that stimulus information device, which is presented, and preferred earpiece of the present invention is made Stimulus information device is presented for the sense of hearing.It is braille information provider unit that stimulus information device, which is presented, in tactile, is mainly used for replacing regarding Feel stimulus information device and/or the sense of hearing to be presented stimulus information device is presented and provide stimulus information for subject, mainly for The personage of eyesight and/or hearing dysfunction.The present invention provides stimulation letter in terms of vision, the sense of hearing and tactile three for subject Breath, application range is wider, is suitable for all groups.
Transmission log device includes reaction time device, operating control device, sound transmission device and action recording device. Reaction time device is for recording the reaction time that subject makes a response according to stimulus information, and especially subject is according to test The selection reaction time that topic is made.Operating control device is for subject's input information or during the test to test item Mesh, the selection control of test question purpose.Operating control device can be keyboard and/or mouse.According to a preferred embodiment, originally The interest orientation value testing apparatus of invention includes reactor, for subject's input information and to the reaction time of subject and Accuracy is recorded.The alternative keyboard of reactor and mouse of the present invention, can to avoid because of keyboard or mouse manufacturer or The difference of model and cause record reaction time distortion.
Sound transmission device is used for transmission the application feedback information of subject's offer to analysis processing device.Voice transmission fills It can be microphone to set.
Action recording device include eye movement recording and body action record, wherein body action include facial expression action and Limb action.Eye movement recording includes eye movement, blinkpunkt, blinkpunkt residence time, sweep time, blinkpunkt position and pupil Bore dia.The present invention is preferably infrared automatic tracking camera for recording the device of eye movement state.Preferably, always to watch attentively Time, average fixation time, blinkpunkt number and pupil diameter are as the eye movement index for weighing occupational interest cognition ability value.
Total fixation time:Fixation time variable is most common index in eye movement analysis, it reflects to watched attentively content Cognitive Processing situation.Total fixation time refers to all temporal summation watched of the viewer to some region, it, which is reflected, adds The time in some region of work.If being found that the difference on total fixation time between several regions, it is considered that this is pre- Show to there is differences on these types of region processing.The average fixation time:The average value of i.e. all blinkpunkt duration, Computational methods are:The number of average fixation time=duration summation/blinkpunkt.Blinkpunkt number:The behaviour of blinkpunkt number It is within the shortest time of system default (generally 100ms) to make definition, and the movement of eyes is not above maximum as defined in system Since range (generally 1 degree of visual angle), then can be denoted as and once watch attentively (entering this range at first, until leaving this range Until).Total blinkpunkt number is all blinkpunkt numbers fallen in some region.Pupil diameter:The size of pupil diameter Reflect tensity when viewer is processed a certain region.
Preferably, subject is long to the interested total fixation time of occupation, average time is long, blinkpunkt number mostly and pupil Diameter is big.
Analysis processing device is used to analyze the feedback information of the subject provided from transmission log device, including examination question Answer accuracy analysis, the semanteme in sound wave message and intonation are analyzed, the length in reaction time is analyzed, the eye movement rail of eye movement state Mark, blinkpunkt, the blinkpunkt residence time, the facial expression of the analysis of sweep time and/or body action, body language point Analysis.During the test, analysis processing device is according to script, sound wave message, reaction time, eye movement state and/or body The analyzing processing of body action adjusts test question purpose testing sequence.By analyze subject feedback information, when subject not When conscientiously answering, analysis processing device sends out instruction and stimulus information device is presented by vision, stimulus information dress is presented in the sense of hearing It sets and/or tactile is presented stimulus information device and provides warning.Alternatively, by the way that topic of detecting a lie is arranged, i.e., the logical topic of test together is with just Problem is proposed to negative sense mode, to improve the accuracy of test.Preferably, analysis processing device is according to transmission log device The data of offer calculate separately the average index value under indices, and index value is averagely recognized to obtain one group.According to current The average index value of tested cognition index value and the group establishes criterion score model (Z score model).Calculate separately subject The Z score of each index subjet.Similarly, according to the data in reaction accuracy data library, reaction accuracy average value is calculated.Root Z score model is established according to the reaction accuracy and the average value of current subject, calculates the reaction accuracy Z score of subject. Finally, above-mentioned every index value Z score that recognizes is added with reaction accuracy Z score, obtains a comprehensive Z score.This is comprehensive Close the T scores that Z score is converted under the interest orientation cognitive ability horizontality for characterizing the subject.The T scores are interest It is orientated quantized value.The conversion method of T scores and Z score is known in the art common sense, is not described in detail here.
Interest orientation types of database includes literature and art creation type database, artistic operational database, consumption service type number According to library, health service type database, service operations type database and education services type database.Contained in above-mentioned database by According to the interest orientation that occupation type divides, including 36 dimensions:
Transaction management type, personal management type, sports performance type, skill operation type, health service type, process operation type, peace Full service type, Transaction Service type, thinking study type, phenomenal research type, creation of art type, consciousness expression type, theoretical research type, play Acute creative, technology manufacture type, technical operation type, operation service type, education services type, social activity type, consumption service type, object Product design mode, society research type, management type, artistic creation type, archaeology active type, natural active type, natural research, skill Art manipulation type, artistic performance type, administration type, performance service type, mechanically actuated type.
Wherein, by taking transaction management type as an example, it includes but the position that is not limited to have:Secretary, clerk, account person, Accounting, administrative assistant, librarian, cashier, typist, investment analyst.Creation of art type including but not limited to Position has:Performer, director, Art Design teacher, sculptor, architect, photographer, advertisement writer.Economic management type include but The position being not limited to has:Project manager, marketing management personnel, government official, Enterprises Leader.Social activity type including but not limited to Position have:Consultant, public relations official, sales force.
The cognition index analysis method of the interest orientation value test of the present invention includes the following steps:
Step 1:Subject inputs personal information by operating control device, and personal information includes the hobby of subject Information.
Step 2:Keyword is extracted from hobby information.
Step 3:The hobby data inputted using subject are gone out at least one related interests as Keywords matching and are orientated The first database of type.
Step 4:First database provides at least one first stimulus information for subject.
Step 5:Calculating subject is directed to the emerging of the first feedback information that at least one first stimulus information is provided Interesting index.
Step 6:The second database is determined according to the magnitude relationship of calculated interest index and pre-set threshold value.
Step 7:Second database provides at least one second stimulus information for subject.
Step 8:The second feedback information that analyzing processing is obtained according at least one second stimulus information.
Step 9:Obtain analysis result, that is, subject's interest orientation and interest orientation index.
Wherein, interest index is calculated as follows in step 5:
At least one first stimulus information includes at least one description to the stimulation, and each description is given difference Weight, interest index is calculated according to the description corresponding weight of subject's selection.
According to a preferred embodiments, at least one description uses five point scales.
According to a preferred embodiment, at least one description is specially:It does not meet very much, compare and do not meet, generally accord with It closes, be more conform with, meet very much.The mode of sequencing index is used to give different score value weights for five descriptions.It is not inconsistent very much =1 point is closed, compares and does not meet=2 points, conform generally to=3 points, be more conform with=4 points, meet very much=5 points.It is tested when test Person selects different descriptions, and interest index is calculated according to corresponding score value weight.Interest index is by same interest orientation class What one group of stimulus information accumulation calculating that type database provides obtained, the interest orientation index being calculated is that subject is emerging to this The interest level of interesting type of alignment.
Wherein, the determination of second database is determining as follows in step 6 obtains:
Its corresponding interest index is greater than or equal to the interest orientation categorical data of pre-set threshold value in selection first database Library is that subject continues to provide at least one second stimulus information as the second database.That is, when calculated interest index is big In or equal to pre-set threshold value when, the interest index corresponding interest orientation type stack room can be used as the second database continue as it is tested Person provides stimulus information.For interest index is less than the database of pre-set threshold value, then the continuation of the second database is cannot function as Stimulus information is provided for subject.The present invention passes through the meter to subject to the interest index of a certain interest orientation types of database It calculates as judging whether the interest orientation is thought with initial subject, to improve the accuracy of test, to make test more It is objective to add.
When the corresponding interest index of all interest orientation types of database is respectively less than pre-set threshold value in first database, from Being different from the remaining interest orientation types of database of first database selects at least one database as the second database At least one second stimulus information is provided for subject.Number is selected that is, being never selected into other databases of first database According to library stimulus information is provided for subject as the second database.Because in the way of exclusive method, when first be initially provided of When the corresponding interest index of all interest orientation types of database in database is respectively less than pre-set threshold value, illustrate subject itself Where not knowing oneself interest, it could be theoretically argued that interest orientation it is inconsistent with the practical potential interest orientation of subject. In this case, remaining interest orientation type meets the probability bigger of subject's actual conditions.
According to a preferred embodiment, when all interest orientation types of database in first database do not meet it is emerging When interesting index is greater than or equal to the requirement of pre-set threshold value, the determination of the second database carries out as follows:
The first feedback information provided for the first stimulus information according to subject is analyzed, according to analysis result surplus Select relevant database as the second database in remaining database.Wherein, the first feedback information includes:Script, sound wave Message, reaction time, eye movement state and/or body action.By analyze script accuracy, the semanteme in sound wave message and Intonation, the length in reaction time, the eye movement of eye movement state, blinkpunkt, blinkpunkt residence time, sweep time and/or body The facial expression of body action, body language, to select to determine the second database.
In step 8, the second feedback information is analyzed, the second feedback information is subject according at least one second stimulus information The script that is there is provided, sound wave message, reaction time, eye movement state and/or body action.
Wherein, the accuracy of script analysis Main Analysis answer.
Wherein, sound wave message analysis includes the following steps:
Step 81:Subject is by microphone input sound wave message, and by sound identification module to the audio that receives Signal is analyzed;
Step 82:Sound identification module analyzes sound frequency, volume, tone color, clarity and/or the intensity of audio signal, And convert the audio signal to speech characteristic parameter;
Step 83:Influence according to stimulus information to subject's psychological condition, by sound wave message be divided into it is normal, actively and Passive three kinds of states, each state are defined by different speech characteristic parameters;
Step 84:Voice according to speech parameter word speed, average short-time energy, average short-time zero-crossing rate and pitch period is special Mean parameter, variation range and variance analysis are levied, to determine the psychological condition of subject.
Wherein, eye movement state analysis includes following analysis index:The time that some region of interest is watched attentively for the first time, if It is first region of interest watched attentively, first fixation duration, gaze duration, fixation point number, then read time, returns and regard number, returns Between apparent time, fixation time, blinkpunkt number.
The time that some region of interest is watched attentively for the first time refers to being opened from stimulus information (especially to visual stimulus information) Begin to be presented to subject and watch time used in this region of interest attentively, to investigate subject attentively sequence is watched to region of interest.It is No be first region of interest watched attentively refer to the region of interest refer to no is first region of interest watched attentively of subject, to examine It is which to examine the region of interest that subject watches attentively first.The time and whether be first note that some region of interest is watched attentively for the first time Depending on to region of interest for investigating the sequence being processed to region of interest.
First fixation duration refers to the duration fallen in first blinkpunkt of certain region of interest.Gaze duration refers to from first The sum of the duration of secondary all blinkpunkts that this region of interest is left into some region of interest to first time, to investigate to certain The time that region of interest is processed for the first time.Fixation point number refers to entering some region of interest to leaving this for the first time from first time The sum of the number of all blinkpunkts of a region of interest, to investigate the degree being processed to region of interest.First fixation duration coagulates Between apparent time and fixation point number is used to investigate eye moving process when subject process for the first time.
Read time refers to the fixation time of certain region of interest other than gaze duration again, to investigate to region of interest again The time being processed.It is the number watched attentively to some region of interest other than staring number to return depending on number.Regression time refers to To the fixation time of some region of interest other than gaze duration.Again read time, return regarding number and regression time for investigate by Eye moving process when examination person process again.
Fixation time refers to the sum of the duration fallen in all blinkpunkts of some region of interest.Blinkpunkt number refers to falling In the number of the blinkpunkt of some region of interest.Fixation time and blinkpunkt number are used to investigate eye of the subject in entire processing Dynamic process.
Eye movement state analysis includes the following steps:
Step 85:Device, especially vision are provided according to stimulus information, and the stimulus information that stimulus information device provides is presented, Some region of interest first of subject is recorded using eye tracker or infrared automatic tracking camera and the computer being attached thereto The secondary time watched attentively, whether be first region of interest watched attentively, first fixation duration, gaze duration, fixation point number, Again read time, return regard number, regression time, fixation time and blinkpunkt number;
Step 86:Analysis record is as a result, export data;
Wherein, body action analysis refers mainly to facial expression analysis comprising following steps:
Step 87:Vision, the sense of hearing and/or haptic stimulus information are provided for subject;
Step 88:Image acquisition device facial expression;
Step 89:After the completion of test, facial expression activity of the playback in image collecting device;
Step 90:Analysis calculates output data according to facial expression activity caused by stimulus information.
Step 90 further comprises:
Step 901:Facial expression activity by record a video or image in the form of be sent to autocoding sorter;
Step 902:Autocoding sorter transcribes facial expression, and passes through:It is expression type, the duration, strong Degree and time fixed point are determined;
Step 903:Expression encoding transcription sheet is created one by one according to the facial expression after transcription;
Step 904:Expression encoding transcription sheet is compared with master pattern, then calculates simultaneously output data.
During step 5 and step 6, according to a preferred embodiment, judge that the interest in first database takes Whether it can be used as the second database to types of database, in addition to comparing the magnitude relationship between interest index and pre-set threshold value Outside, further include when selection is described in the one group of stimulus information provided for same interest orientation types of database, respectively completely Five descriptions of foot:It does not meet very much, compare the test question mesh number amount satisfaction do not meet, conform generally to, being more conform with, meeting very much Normal distribution curve.According to a preferred embodiment, " not meeting very much " accounts for about the 5% of total amount, " compare and do not meet ", " one As meet ", " being more conform with " account for about the 90% of total amount, " meeting very much " accounts for about the 5% of total amount.According to a more preferable embodiment party Formula, " not meeting very much ", " compare and do not meet ", " conforming generally to ", " being more conform with ", " meeting very much " test question mesh number amount point About the 5% of total quantity, about 20%, about 50%, about 20%, about 5% are not accounted for.
The quantity for one group of stimulus information that the pre-set threshold value F of the present invention is provided according to the same interest orientation types of database To determine.And it is calculated according to the requirement that the corresponding test question mesh number amount of five descriptions meets normal distribution.Calculation formula is such as Under:
F=1*L*5%+2*L*20%+3*L*50%+4*L*20%+5*L*5%
=3*L
Wherein, L is the test question mesh number amount for one group of stimulus information that the same interest orientation types of database provides.
For example, the literature and art creation type database as one of first database provides the thorn that one group of quantity is 20 for subject Swash information, that is, 20 test topics.Each test topic includes 5 descriptions:It does not meet very much, compare and do not meet, generally accord with It closes, be more conform with, meet very much, and corresponding score value weight is respectively:1,2,3,4,5 points.Literature and art creation type database Budget threshold values F is:
F=1* (20*5%)+2* (20*20%)+3* (20*50%)+4* (20*20%)+5* (20*5%)=60
When interest index be more than or equal to 60 when, the interest orientation types of database can be used as the second database continue as it is tested Person provides stimulus information, conversely, then can not.
In order to make the present invention be more clearly understood, specific embodiment is provided below and illustrates.
Embodiment 1
Subject A, gender man, 13 years old age, junior one, hobby:Writing, computer game, music and swimming.
The method flow diagram provided in conjunction with Fig. 2 carries out interest orientation test to subject A.
S1:Input personal information, especially hobby information.
S2:Extract keyword:Writing, game, music, movement.
S3:Match the first database of at least one related interests type of alignment:Literature and art creation type database is (in Fig. 2 Database 1), artistic operational database (database 2 in Fig. 2), health service type database (database 3 in Fig. 2).
S4:Literature and art creation type database, artistic operational database, health service type database provide one group first respectively Stimulus information, every group includes 20 stimulus informations, i.e., 20 test topics.
S5:Calculate the feedback information generated according to three group of first stimulus information, wherein the feedback information is subject A For 60 test topic selection made.
Result of calculation:Literature and art creation type database, artistic operational database, health service type database are corresponding 1=85 points of interest index, 2=70 points of interest index, 3=45 points of interest index.The pre-set threshold value of the present embodiment is 60 points.Thus It is found that interest 1 >=pre-set threshold value of index, interest 2 >=pre-set threshold value of index, 3 < pre-set threshold values of interest index.
S6:The second database is determined according to calculated interest index:Literature and art creation type database and artistic manipulation type number According to library.
S7:Literature and art creation type database and artistic operational database are respectively that subject provides at least one second stimulation Information.
S8:Subject A is obtained according to the second feedback information caused by the second stimulus information.
S9:The second feedback information of analyzing processing.
S10:Export analysis result:The interest orientation of subject A is:Writing.
Embodiment 2
Subject B, gender female, 13 years old age, junior one, hobby:Film, shuttlecock, animation.
The method flow diagram provided in conjunction with Fig. 3 carries out interest orientation test to subject B.
S1:Input personal information, especially hobby information.
S2:Extract keyword:Film, movement, caricature.
S3:Match the first database of at least one related interests type of alignment:Literature and art creation type database is (in Fig. 2 Database 1), artistic operational database (database 2 in Fig. 2), health service type database (database 3 in Fig. 2).
S4:Literature and art creation type database, artistic operational database, health service type database provide one group first respectively Stimulus information, every group includes 20 stimulus informations, i.e., 20 test topics.
S5:Calculate the feedback information generated according to three group of first stimulus information, wherein the feedback information is subject A For 60 test topic selection made.
Result of calculation:Literature and art creation type database, artistic operational database, health service type database are corresponding 1=45 points of interest index, 2=51 points of interest index, 3=38 points of interest index.The pre-set threshold value of the present embodiment is 60 points.Thus It is found that 1 < pre-set threshold values of interest index, 2 < pre-set threshold values of interest index, 3 < pre-set threshold values of interest index.Literature and art creation type number According to library, artistic operational database, health service type database is excluded.
S6:The second database is determined according to calculated interest index:Education services type is selected from remaining database Database and service operational database are as the second database.
S7:Education services type database and service operational database are respectively that subject provides at least one second stimulation Information.
S8:Subject B is obtained according to the second feedback information caused by the second stimulus information.
S9:The second feedback information of analyzing processing.
S10:Export analysis result:The interest orientation of subject B is:Mathematics.
It is worth noting that the n in Fig. 2 and Fig. 3 is the integer more than or equal to 1.Database 1 indicates first to database n Database includes multiple databases, is not limited to mentioned in Examples 1 and 2 three databases.Interest index 1 is to interest index n It corresponds to each other with database 1 to database n.M in Fig. 2 and Fig. 3 is the integer more than or equal to 1.
Embodiment 3
Subject C, gender female, 13 years old age, junior one.Hobby:Writing, music, film.
The present invention also provides another embodiments.Specifically include following steps:
S1:Input personal information.
S2:The picture stimulus information that four kinds of interest patterns are provided from database allows subject to select, and waits for that subject selects A most interested pictures.It is recorded simultaneously using eye tracker or infrared automatic tracking camera and the computer being attached thereto The eye movement index of subject.
S3:36 types need the comparison for carrying out nine step S2.Subject selects nine kinds of most interested types.
S4:It allows subject to compare again the nine most interested types selected, sequencing is discharged.Eye is used simultaneously The eye movement index of dynamic instrument or infrared automatic tracking camera and the computer record subject being attached thereto.
S5:Data by analysis processing device according to the sequencing of discharge and the eye movement of record, the two is closed And handle and calculate all types of interest exponential quantity (T scores), the highest neck that as subject is most interested in of interest exponential quantity Domain.
It should be noted that above-mentioned specific embodiment is exemplary, those skilled in the art can disclose in the present invention Various solutions are found out under the inspiration of content, and these solutions also belong to disclosure of the invention range and fall into this hair Within bright protection domain.It will be understood by those skilled in the art that description of the invention and its attached drawing are illustrative and are not Constitute limitations on claims.Protection scope of the present invention is limited by claim and its equivalent.

Claims (7)

1. a kind of cognition index analysis method of interest orientation value test, which is characterized in that the described method comprises the following steps:
Go out at least one related interests as Keywords matching using the hobby data that subject provides before testing and is orientated class The database of type simultaneously provides at least one first stimulus information using the database as first database for subject;
Determine the interest index for the first feedback information that subject is provided at least one first stimulus information;
According at least one interest orientation number of types for providing at least one second stimulus information of the interest Index selection According to library as the second database so that subject provides the second feedback information according at least one second stimulus information;Its In, select the corresponding interest index of its in the first database to be greater than or equal to the interest orientation types of database of pre-set threshold value It is that subject continues to provide at least one second stimulus information as the second database, is interested in when in the first database When the corresponding interest index of type of alignment database is respectively less than pre-set threshold value, from being different from the remaining emerging of the first database At least one database is selected to provide at least one second thorn as the second database for subject in interesting type of alignment database Swash information;
It analyzes second feedback information and determines the interest orientation of subject;
At least one first stimulus information is the test topic presented with vision, the sense of hearing and/or tactile manner, described first Feedback information includes:Script, sound wave message, reaction time, eye movement state and/or body action,
At least one second stimulus information is the test topic presented with vision, the sense of hearing and/or tactile manner, described second When script that feedback information is provided by subject according at least one second stimulus information, sound wave message, reaction Between, eye movement state and/or body action.
2. the cognition index analysis method of interest orientation value according to claim 1 test, which is characterized in that it is described at least One the first stimulus information includes at least one description to the stimulation, and each description is given different weights, according to The corresponding weight of description of subject's selection calculates the interest index.
3. the cognition index analysis method of interest orientation value test according to claim 2, which is characterized in that for described At least one description that test topic is provided uses five point scale methods.
4. the cognition index analysis method of interest orientation value according to claim 3 test, which is characterized in that it is described at least One description is specially:Do not meet very much, compare and do not meet, conform generally to, being more conform with, meeting very much, meet respectively described in Description:It does not meet very much, compare the test question mesh number amount do not meet, conform generally to, being more conform with, meeting very much and meet normal state point Cloth curve.
5. the cognition index analysis method of interest orientation value test according to claim 3, which is characterized in that the analysis Method uses sequencing index.
6. the cognition index analysis method of interest orientation value test according to claim 3, which is characterized in that by institute State script, the sound wave message, the reaction time, the analyzing processing of the eye movement state and/or the body action To adjust test question purpose testing sequence, wherein
The analyzing processing includes script accuracy analysis, the semanteme in sound wave message and intonation analysis, reaction time Length analysis, the eye movement of eye movement state, blinkpunkt, blinkpunkt residence time, the analysis of sweep time and/or body action Facial expression, body language analysis.
7. the cognition index analysis method of the interest orientation value test according to one of preceding claims 1 to 5, feature exist In the interest orientation types of database includes literature and art creation type database, artistic operational database, consumption service type data Library, health service type database, service operations type database and education services type database.
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Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017024845A1 (en) * 2015-08-07 2017-02-16 Beijing Huandu Institute Of Wisdom-Mind Technology Ltd. Stimulus information compiling method and system for tests
CN106510734B (en) * 2016-09-30 2019-08-20 维沃移动通信有限公司 A kind of data processing method and device based on mobile terminal
CN106843500B (en) * 2017-02-27 2020-07-07 南通大学 Cognitive level rehabilitation training system based on eye movement tracking technology
TWI608454B (en) * 2017-03-20 2017-12-11 全球華人股份有限公司 A method of determinating interesting and the application of this method completed by the career research platform
CN108052973B (en) * 2017-12-11 2020-05-05 中国人民解放军战略支援部队信息工程大学 Map symbol user interest analysis method based on multiple items of eye movement data
CN109508755B (en) * 2019-01-22 2022-12-09 中国电子科技集团公司第五十四研究所 Psychological assessment method based on image cognition
CN110327061B (en) * 2019-08-12 2022-03-08 北京七鑫易维信息技术有限公司 Character determining device, method and equipment based on eye movement tracking technology
CN113449192A (en) * 2021-07-07 2021-09-28 中国银行股份有限公司 Education resource recommendation method based on mobile banking and related device

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3905132A (en) * 1974-11-07 1975-09-16 Us Navy Hidden knowledge detector
US5762611A (en) * 1996-11-12 1998-06-09 The United States Of America As Represented By The Secretary Of The Navy Evaluation of a subject's interest in education, training and other materials using brain activity patterns
CN1739451A (en) * 2005-07-21 2006-03-01 高春平 Method and device for monitoring psycological and professional test truth
CN101380252A (en) * 2007-09-05 2009-03-11 西尔瑞特有限公司 Physiological condition measuring device
CN101512574A (en) * 2006-09-07 2009-08-19 宝洁公司 Methods for measuring emotive response and selection preference
CN101779960A (en) * 2010-02-24 2010-07-21 沃建中 Test system and method of stimulus information cognition ability value
CN101923667A (en) * 2009-06-16 2010-12-22 一零四资讯科技股份有限公司 Method for comprehensively testing recommending position
CN102216876A (en) * 2008-11-19 2011-10-12 英默森公司 Method and apparatus for generating mood-based haptic feedback
CN102245085A (en) * 2008-10-14 2011-11-16 俄亥俄大学 Cognitive and linguistic assessment using eye tracking
CN102630322A (en) * 2009-09-18 2012-08-08 宋永璿 Career-counseling system and method
CN103561651A (en) * 2010-11-24 2014-02-05 数字制品有限责任公司 Systems and methods to assess cognitive function
CN104572989A (en) * 2015-01-06 2015-04-29 苏州智甄测评技术软件科技有限公司 Information recommendation method and system for assisting senior high school students to choose college majors

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH08101636A (en) * 1995-09-18 1996-04-16 Fukuto:Kk Course aptitude testing method
US8048002B2 (en) * 2004-04-27 2011-11-01 Jamshid Ghajar Method for improving cognition and motor timing
US20070117070A1 (en) * 2005-11-23 2007-05-24 Alvin Krass Vocational assessment testing device and method
KR101170125B1 (en) * 2009-09-18 2012-07-31 송영선 System and method for career counseling based on combination of plurality of personality tests

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3905132A (en) * 1974-11-07 1975-09-16 Us Navy Hidden knowledge detector
US5762611A (en) * 1996-11-12 1998-06-09 The United States Of America As Represented By The Secretary Of The Navy Evaluation of a subject's interest in education, training and other materials using brain activity patterns
CN1739451A (en) * 2005-07-21 2006-03-01 高春平 Method and device for monitoring psycological and professional test truth
CN101512574A (en) * 2006-09-07 2009-08-19 宝洁公司 Methods for measuring emotive response and selection preference
CN101380252A (en) * 2007-09-05 2009-03-11 西尔瑞特有限公司 Physiological condition measuring device
CN102245085A (en) * 2008-10-14 2011-11-16 俄亥俄大学 Cognitive and linguistic assessment using eye tracking
CN102216876A (en) * 2008-11-19 2011-10-12 英默森公司 Method and apparatus for generating mood-based haptic feedback
CN101923667A (en) * 2009-06-16 2010-12-22 一零四资讯科技股份有限公司 Method for comprehensively testing recommending position
CN102630322A (en) * 2009-09-18 2012-08-08 宋永璿 Career-counseling system and method
CN101779960A (en) * 2010-02-24 2010-07-21 沃建中 Test system and method of stimulus information cognition ability value
CN103561651A (en) * 2010-11-24 2014-02-05 数字制品有限责任公司 Systems and methods to assess cognitive function
CN104572989A (en) * 2015-01-06 2015-04-29 苏州智甄测评技术软件科技有限公司 Information recommendation method and system for assisting senior high school students to choose college majors

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
创造能力不同学生的分类加工过程差异的眼动特点;沃建中等;《心理学报》;20100215(第2期);全文 *
运用职业自我选择测验(SDS)研制大学专业搜寻表的初步研究;龙立荣等;《心理学报》;20001030(第4期);全文 *

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