CN105139317A - Cognitive Index analyzing method for interest orientation value test - Google Patents
Cognitive Index analyzing method for interest orientation value test Download PDFInfo
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Abstract
The invention relates to a cognitive Index analyzing method for an interest orientation value test. The method is characterized by comprising the following steps: taking interest data provided by a tester before a test as a keyword, matching at least one database that is relevant to an interest orientation type, taking the database as a first database, providing at least one first stimulation information; determining an interest index of first feedback information provided by the at least one first stimulation information by the tester; according to the interest index, selecting at least one interest orientation database for providing at one piece of second stimulation information as a second database, making the tester provide second feedback information provided by the at least one second stimulation information; and analyzing the second feedback information and determining the interest orientation of the tester.
Description
Technical field
The present invention relates to technical field of measurement and test, particularly relate to the cognitive index analysis method of a kind of interest orientation value test.
Background technology
Interest test has many purposes, and most typical is exactly career planning for employee, because a people always does oneself interested thing very well.The personalization that interest test also may be used for student is in addition cultivated, and excavates the potential of student, in entering a higher school and choosing a job from now on, also provide very large help.Require more and more higher today in machine intelligenceization, enable machine identify hobby and the demand of user exactly by interest test, for user provides personalized service, thus give machine humanized characteristic.The maximum difference of human and computer is also that people has psychological activity, emotion, interest etc., machine is treated for information indifference in emotion hobby, people then can show interest unconsciously when reception, process expressing information and like out, therefore by interest test can when not with identify when tested object surface opposite contact ac tested to as if people or machine, have a wide range of applications in the field such as Intelligent Recognition, security protection.
Analyze often through the personality of the mode of survey to tested object in prior art, thus draw the field that tested object may be liked or be applicable to.But the degree of distortion of survey is often higher, because the idea of people is often inconsistent with behavior, a lot of subconscious behavior can not be reflected by survey, and test result wide scope, clearly effectively can not show that whether tested object is interested in a certain things.
Abroad student enter a higher school with careers guidance in have the developing history of decades, when student face enter a higher school and obtain employment time, many schools all can provide multiple psychological test to help student to understand oneself interest, hobby, ability and personality characteristics etc., for they select university's aspiration and occupation in future to provide advisory opinion.Such as American College Test center (ACT), to enter a higher school especially and instruct pendulum in critical positions, and register to combine closely with college entrance examination, when examinee registers, synchronously will carry out psychological test, student, except obtaining Entrance Examination, also can obtain a major choice test and appraisal suggestion.
Due to the singularity of domestic national conditions, the growth environment of student and social employment environment are all with distinct abroad, therefore external entering a higher school is instructed and is not suitable for Chinese student, domestic entering a higher school instructs main still depending on to seek advice from teacher or kith and kin etc. at present, impact by environment limitation and artificial subjective factor is larger, in addition on the one hand high school student due to the age less of autognosis imperfection, the specialty that causing enters a higher school makes a report on also is not suitable for oneself, is unfavorable for the abundant excavation of student's potential and following employment.
Summary of the invention
For the deficiency of prior art, the invention provides the cognitive index analysis method of a kind of interest orientation value test, it is characterized in that, said method comprising the steps of:
The hobby data provided before testing using experimenter as Keywords matching go out at least one related interests type of alignment database and by this database as the first database for experimenter provides at least one first stimulus information;
Determine the interest index of the first feedback information that experimenter provides at least one first stimulus information described;
According to described interest Index selection at least one for providing the interest orientation types of database of at least one the second stimulus information as the second database, make experimenter provide the second feedback information according at least one second stimulus information described;
Analyze described second feedback information and determine the interest orientation of experimenter.
According to a preferred implementation, at least one comprising this stimulation of at least one first stimulus information described describes, and each description is given different weights, and the weight according to the description correspondence of experimenter's selection calculates described interest index.
According to a preferred implementation, at least one first stimulus information described is the test exercise question presented with vision, the sense of hearing and/or tactile manner, and described in providing for described test exercise question, at least one describes employing five point scale method.
According to a preferred implementation, at least one description described is specially: do not meet very much, compare and do not meet, generally meet, compare and meet, meet very much, meet described description respectively: do not meet very much, compare do not meet, generally meet, compare meet, the test exercise question quantity that meets very much meets normal distribution curve.
According to a preferred implementation, described analytical approach adopts sequencing index.
According to a preferred implementation, the interest orientation types of database selecting the interest index of its correspondence in described first database to be more than or equal to pre-set threshold value as the second database for experimenter continues to provide at least one second stimulus information.
According to a preferred implementation, when the interest index that interest orientation types of database all in described first database are corresponding is all less than pre-set threshold value, from the remaining interest orientation types of database being different from described first database, select at least one database as the second database for experimenter provides at least one second stimulus information.
According to a preferred implementation, at least one second stimulus information described is the test exercise question presented with vision, the sense of hearing and/or tactile manner, the script that described second feedback information provides according at least one second stimulus information described for experimenter, sound wave message, reaction time, eye moves state and/or body action.
According to a preferred implementation, by to described script, described sound wave message, described reaction time, described eye moves the analyzing and processing of state and/or described body action to adjust test question object testing sequence, wherein, described analyzing and processing comprises semanteme in script accuracy analysis, sound wave message and intonation analysis, the length analysis in reaction time, eye and moves the eye movement of state, blinkpunkt, the blinkpunkt residence time, the analysis of sweep time and/or the facial expression of body action, the analysis of body language.
According to a preferred implementation, described interest orientation types of database comprises literature and art creation type database, artistic operational database, consumption service type database, health service type database, service operations type database and education services type database.
Advantageous Effects of the present invention:
The personal information data that the present invention pre-enters according to experimenter, especially hobby information, in the database including multiple different interest orientation type, match the database relevant to experimenter's hobby carry out testing and calculating corresponding interest index for the first time using it as keyword, by providing at least one first stimulus information for experimenter the hobby that experimenter oneself thinks verified and the hobby do not conformed to self potential excluding that experimenter thinks, and then entered second time test, get in the relevant database of type as experimenter provides at least one second stimulus information in interest, analyze the feedback information that experimenter produces according to the second stimulus information, finally determine the interest orientation of experimenter.The present invention is through twice test, and accuracy is better, can reflect the interest of experimenter truly, objectively, can be widely used in the fields such as selection of talented people, placement, learning ability diagnosis, advertising results, driver safety training.
Accompanying drawing explanation
Fig. 1 is the structural representation of interest orientation value testing apparatus of the present invention;
Fig. 2 is the process flow diagram of an embodiment of the cognitive index analysis method of interest orientation value of the present invention test; With
Fig. 3 is the process flow diagram of another embodiment of the cognitive index analysis method of interest orientation value of the present invention test.
Embodiment
Be described in detail below in conjunction with accompanying drawing.
See Fig. 1, the present invention also comprises the device of a kind of interest orientation value test, and this device comprises stimulus information generator, transmission log device, APU, interest orientation types of database and display device.Stimulus information generator is connected with transmission log device, the feedback information that transmission log device provides according to stimulus information for recording and transmit experimenter.The transmission of feedback information extremely connected APU that transmission log device will be recorded.APU comprises multiple interest orientation types of database, or APU is connected with the memory storage storing multiple interest orientation types of database.Display device is connected with APU, and display device is used for the analysis result of display analysis treating apparatus, that is, the interest orientation of experimenter and interest orientation value.
Stimulus information generator comprises that vision presents stimulus information device, the sense of hearing presents stimulus information device and sense of touch presents stimulus information device, from vision, the sense of hearing and/or sense of touch aspect for experimenter provides stimulus information.Wherein, it is computer screen that vision presents stimulus information device, or the touch display screen of panel computer or smart mobile phone/non-tactile display screen.It can be the device that earphone, sound equipment, loudspeaker etc. have AF playing function that the sense of hearing presents stimulus information device, and preferred earpiece of the present invention presents stimulus information device as the sense of hearing.It is braille information provider unit that sense of touch presents stimulus information device, is mainly used in replacing vision to present stimulus information device and/or the sense of hearing and presents stimulus information device for experimenter and provide stimulus information, mainly for having eyesight and/or the handicapped personage of hearing.The present invention is from vision, the sense of hearing and sense of touch three aspect for experimenter provides stimulus information, and range of application is wider, is applicable to all groups.
Transmission log device comprises reaction time device, operating control device, sound transmission device and action recording device.The selection reaction time that the reaction time that reaction time device is made a response according to stimulus information for recording experimenter, especially experimenter make according to test exercise question.Operating control device is used for experimenter and inputs information or select to control to test event, test question object in test process.Operating control device can be keyboard and/or mouse.According to a preferred implementation, interest orientation value testing apparatus of the present invention comprises reactor, inputs information and carry out record to reaction time of experimenter and accuracy for experimenter.The alternative keyboard of reactor of the present invention and mouse, can avoid the difference because of keyboard or mouse manufacturer or model and cause the reaction time distortion of recording.
Sound transmission device for the application feedback information that transmits experimenter and provide to APU.Sound transmission device can be microphone.
Action recording device comprises eye movement recording and body action record, and wherein body action comprises facial expression action and limb action.Eye movement recording comprises eye movement, blinkpunkt, the blinkpunkt residence time, sweep time, blinkpunkt position and pupil diameter.The present invention moves state device for recording eye is preferably infrared automatic tracking camera.Preferably, index is moved using total fixation time, average fixation time, blinkpunkt number and pupil diameter as the eye weighing occupational interest cognition ability value.
Total fixation time: fixation time variable is index the most frequently used in eye movement analysis, it reflects the Cognitive Processing situation to watched attentively content.Total fixation time refers to all temporal summation of watching of beholder to certain region, it reflects the time in certain region of processing.If found the difference on total fixation time between several region, so can think and this imply that and there is difference on this several region processing.The average fixation time: the i.e. mean value of all blinkpunkt duration, its computing method are: average fixation time=number of duration summation/blinkpunkt.Blinkpunkt number: the Operation Definition of blinkpunkt number (is generally 100ms) within the shortest time of system default, the movement of eyes does not exceed the maximum magnitude (being generally 1 degree of visual angle) that system specifies, then can be designated as and once watch attentively (from entering this scope at first, until leave this scope).Namely total blinkpunkt number is all blinkpunkt numbers dropped in certain region.Pupil diameter: the size of pupil diameter reflects beholder adds man-hour tensity to a certain region.
Preferably, experimenter is long to the total fixation time of interested occupation, averaging time long, blinkpunkt number is many and pupil diameter is large.
APU, for analyzing the feedback information of the experimenter provided from transmission log device, comprises semanteme in script accuracy analysis, sound wave message and intonation analysis, the length analysis in reaction time, eye and moves the eye movement of state, blinkpunkt, the blinkpunkt residence time, the analysis of sweep time and/or the facial expression of body action, the analysis of body language.In test process, APU is according to script, sound wave message, reaction time, and eye moves the analyzing and processing of state and/or body action to adjust test question object testing sequence.By analyzing the feedback information of experimenter, when experimenter is half-hearted answer time, APU send instruction and present stimulus information device by vision, the sense of hearing presents stimulus information device and/or sense of touch presents stimulus information device and provides warning.Or by arranging topic of detecting a lie, namely the logical exercise question of test together asks a question with forward and negative sense mode, thus improves the accuracy of test.Preferably, APU calculates the average index value under indices respectively according to the data that transmission log device provides, thus obtains one group of average cognitive desired value.According to the average index value Criterion Fraction Model (Z score model) of current tested cognitive desired value and this group.Calculate the Z score of each index subjet of experimenter respectively.In like manner, according to the data in reaction accuracy data storehouse, calculate reaction accuracy mean value.Set up Z score model according to the reaction accuracy of current experimenter and this mean value, calculate the reaction accuracy Z score of experimenter.Finally, above-mentioned every cognitive desired value Z score and reaction accuracy Z score are added, obtain a comprehensive Z score.This comprehensive Z score is converted into the T mark under the interest orientation cognitive ability horizontality characterizing this experimenter.This T mark is interest orientation quantized value.The conversion method of T mark and Z score is general knowledge known in this field, is not described further at this.
Interest orientation types of database comprises literature and art creation type database, artistic operational database, consumption service type database, health service type database, service operations type database and education services type database.Contain the interest orientation divided according to occupation type in above-mentioned database, comprise 36 dimensions:
Transaction management type, personal management type, sports performance type, skill operation type, health service type, process operation type, security service type, Transaction Service type, thinking study type, phenomenal research type, creation of art type, consciousness expression type, theoretical research type, drama is creative, technology manufacture type, technical operation type, operate services type, education services type, doings type, consumption service type, article design type, society research type, operation control type, artistic creation type, archaeology active type, nature active type, nature research, art manipulation type, artistic performance type, administration type, performance service type, mechanically actuated type.
Wherein, for transaction management type, its including but not limited to position have: secretary, clerk, account person, accounting, administrative assistant, librarian, cashier, typist, investment analyst.Creation of art type including but not limited to position have: performer, director, Art Design teacher, sculptor, architect, photographer, advertisement writer.Economic management type including but not limited to position have: project manager, marketing management personnel, government official, Enterprises Leader.Doings type including but not limited to position have: consultant, public relations official, sales force.
The cognitive index analysis method of interest orientation value test of the present invention comprises the following steps:
Step 1: experimenter inputs personal information by operating control device, personal information comprises the hobby information of experimenter.
Step 2: extract keyword from hobby information.
Step 3: the first database going out at least one related interests type of alignment using the hobby data of experimenter's input as Keywords matching.
Step 4: the first database provides at least one first stimulus information for experimenter.
Step 5: the interest index calculating the first feedback information that experimenter provides at least one first stimulus information described.
Step 6: the magnitude relationship according to the interest index calculated and pre-set threshold value determines the second database.
Step 7: the second database provides at least one second stimulus information for experimenter.
Step 8: the second feedback information that analyzing and processing obtains according at least one second stimulus information.
Step 9: obtain analysis result, that is, experimenter's interest orientation and interest orientation index.
Wherein, the calculating as follows of interest index in step 5:
At least one comprising this stimulation of at least one first stimulus information describes, and each description is given different weights, and the weight according to the description correspondence of experimenter's selection calculates interest index.
According to a preferred embodiments, at least one describes employing five point scale.
According to a preferred implementation, at least one description is specially: do not meet very much, compare and do not meet, generally meet, compare and meet, meet very much.The mode adopting sequencing index is that five descriptions give different score value weights.Do not meet very much=1 point, compare do not meet=2 points, generally to meet=3 points, compare meet=4 points, to meet very much=5 points.During test, experimenter selects different descriptions, and the score value weight according to correspondence calculates interest index.Interest index is that the one group of stimulus information accumulation calculating provided by same interest orientation types of database draws, the interest orientation index calculated is the interest level of experimenter to this interest orientation type.
Wherein, in step 6, the determination of the second database is determined to draw in the following manner:
The interest orientation types of database selecting the interest index of its correspondence in the first database to be more than or equal to pre-set threshold value as the second database for experimenter continues to provide at least one second stimulus information.That is, when the interest index calculated is more than or equal to pre-set threshold value, the interest orientation type stack room that this interest exponent pair is answered can be used as the second database and continue as experimenter and provide stimulus information.For the database that interest index is less than pre-set threshold value, then can not continue as experimenter as the second database and stimulus information is provided.The present invention is such by judging that to the calculating of experimenter to the interest index of a certain interest orientation types of database whether this interest orientation is thought with initial experimenter, thus improves the accuracy of test, makes test more objective.
When the interest index that interest orientation types of database all in the first database are corresponding is all less than pre-set threshold value, from the remaining interest orientation types of database being different from the first database, select at least one database as the second database for experimenter provides at least one second stimulus information.That is, be never selected in other databases of the first database and select database as the second database for experimenter provides stimulus information.Because, according to the mode of exclusive method, when the interest index that all interest orientation types of database in the first database provided at first are corresponding is all less than pre-set threshold value, experimenter itself is described and does not know oneself interest place, its interest orientation thought in theory is inconsistent with the interest orientation that experimenter is actual potential.In this case, the remaining interest orientation type probability that meets experimenter's actual conditions is larger.
According to a preferred implementation, when all interest orientation types of database in the first database all do not meet interest index be more than or equal to the requirement of pre-set threshold value time, the determination of the second database is carried out in the following manner:
Analyze according to the first feedback information that experimenter provides for the first stimulus information, in remaining data storehouse, select the database of being correlated with as the second database according to analysis result.Wherein, the first feedback information comprises: script, sound wave message, reaction time, eye moves state and/or body action.Moving facial expression, the body language of the eye movement of state, blinkpunkt, the blinkpunkt residence time, sweep time and/or body action by analyzing semanteme in script accuracy, sound wave message and intonation, the length in reaction time, eye, selecting to determine the second database.
In step 8, analyze the second feedback information, the script that the second feedback information provides according at least one second stimulus information for experimenter, sound wave message, reaction time, eye moves state and/or body action.
Wherein, the accuracy of Main Analysis answer is analyzed in script.
Wherein, the analysis of sound wave message comprises the following steps:
Step 81: experimenter by microphone input sound wave message, and is analyzed the sound signal received by sound identification module;
Step 82: the sound frequency of sound identification module analyzing audio signal, volume, tone color, sharpness and/or intensity, and this sound signal is converted into speech characteristic parameter;
Step 83: according to the impact of stimulus information on experimenter's psychological condition, is divided into sound wave message normally, actively and passive three kinds of states, often kind of state is defined by different speech characteristic parameters;
Step 84: according to the speech characteristic parameter average of speech parameter word speed, average short-time energy, on average short-time zero-crossing rate and pitch period, variation range and variance analysis, to determine the psychological condition of experimenter.
Wherein, eye moves state analysis and comprises following analysis indexes: whether certain region of interest first time is the region of interest that first injection is looked by the time of watching attentively, first fixation duration, gaze duration, fixation point number, then read time, return and look number of times, regression time, fixation time, blinkpunkt number.
By the time of watching attentively, certain region of interest first time is referred to that from stimulus information (especially to visual stimulus information), be presented to experimenter watches this region of interest time used attentively, in order to investigate experimenter's watching attentively sequentially region of interest.Whether first injection depending on to region of interest refer to that this region of interest refers to the region of interest that the no experimenter's of being first injection is looked, which the region of interest first watched attentively in order to investigate experimenter is.Certain region of interest first time by time of watching attentively and be whether first injection depending on to region of interest for investigating the order of processing region of interest.
First fixation duration refers to the duration of dropping on certain region of interest first injection viewpoint.Gaze duration refers to from entering certain region of interest for the first time to the duration sum leaving all blinkpunkts of this region of interest for the first time, in order to investigate the time of processing for the first time certain region of interest.Fixation point number refers to from entering certain region of interest for the first time to the number sum leaving all blinkpunkts of this region of interest for the first time, in order to investigate the degree of processing region of interest.First fixation duration, gaze duration and fixation point number add the eye moving process in man-hour first for investigating experimenter.
Read time refers to except gaze duration again, the fixation time of certain region of interest, in order to investigate the time of again processing region of interest.Returning depending on number of times is to the number of times that certain region of interest is watched attentively except staring number of times.Regression time refers to the fixation time to certain region of interest except gaze duration.Again read time, return the eye moving process again adding man-hour depending on number of times and regression time for investigating experimenter.
Fixation time refers to the duration sum of all blinkpunkts dropping on certain region of interest.Blinkpunkt number refers to the number of the blinkpunkt dropping on certain region of interest.Fixation time and blinkpunkt number are for investigating experimenter in the whole eye moving process adding man-hour.
The dynamic state analysis of eye comprises the following steps:
Step 85: according to stimulus information generator, especially vision presents the stimulus information that stimulus information device provides, use eye tracker or infrared automatic tracking camera and certain region of interest first time of computer recording experimenter of being attached thereto by watch attentively time, whether be first injection depending on to region of interest, first fixation duration, gaze duration, fixation point number, again read time, return and look number of times, regression time, fixation time and blinkpunkt number;
Step 86: analytic record result, derived data;
Wherein, body action analysis mainly refers to facial expression analysis, and it comprises the following steps:
Step 87: for experimenter provides vision, the sense of hearing and/or haptic stimulus information;
Step 88: image acquisition device facial expression;
Step 89: after having tested, the facial expression activity of playback in image collecting device;
Step 90: analyze the facial expression activity produced according to stimulus information, and calculate output data.
Step 90 comprises further:
Step 901: facial expression activity is sent to automatic coding sorter with the form of video recording or image;
Step 902: facial expression is transcribed by automatic coding sorter, and passes through: expression type, duration, intensity and time fixed point are determined;
Step 903: create expression encoding transcription one by one originally according to the facial expression after transcribing;
Step 904: this is compared with master pattern by expression encoding transcription, then calculates and exports data.
In the process of step 5 and step 6, according to a preferred implementation, judge whether the interest orientation types of database in the first database can as the second database, except comparing the magnitude relationship between interest exponential sum pre-set threshold value, when one group of stimulus information that being also included in provides for same interest orientation types of database is described selection, meet five descriptions respectively: do not meet very much, compare do not meet, generally meet, compare meet, the test exercise question quantity that meets very much meets normal distribution curve.According to a preferred implementation, " not meeting very much " accounts for about 5% of total amount, and " compare and do not meet ", " generally meeting ", " compare and meet " account for about 90% of total amount, and " meeting very much " accounts for about 5% of total amount.According to a more preferably embodiment, the test exercise question quantity of " not meeting very much ", " compare and do not meet ", " generally meeting ", " compare and meet ", " meeting very much " accounts for about 5% of total quantity, about 20% respectively, and about 50%, about 20%, about 5%.
Pre-set threshold value F of the present invention determines according to the quantity of one group of stimulus information that same interest orientation types of database provides.And describe according to five the requirement that corresponding test exercise question quantity meets normal distribution and calculate.Computing formula is as follows:
F＝1*L*5％+2*L*20％+3*L*50％+4*L*20％+5*L*5％
＝3*L
Wherein, the test exercise question quantity of one group of stimulus information that provides for same interest orientation types of database of L.
Such as, the literature and art creation type database as one of the first database provides one group of quantity to be the stimulus information of 20 for experimenter, that is, 20 roads test exercise questions.Each test exercise question comprises 5 descriptions: do not meet very much, compare and do not meet, generally meet, compare and meet, meet very much, and the score value weight of correspondence is respectively: 1,2,3,4,5 points.The budget threshold values F of literature and art creation type database is:
F＝1*(20*5％)+2*(20*20％)+3*(20*50％)+4*(20*20％)+5*(20*5％)＝60
When interest index is more than or equal to 60, this interest orientation types of database can be used as the second database and continues as experimenter and provide stimulus information, otherwise, then can not.
In order to make the present invention clearly understand, specific embodiment is provided to be described below.
Embodiment 1
Experimenter A, sex man, 13 years old age, junior one, hobby: writing, computer game, music and swimming.
The method flow diagram that composition graphs 2 provides carries out interest orientation test to experimenter A.
S1: input personal information, especially hobby information.
S2: extract keyword: writing, game, music, motion.
S3: the first database matching at least one related interests type of alignment: literature and art creation type database (database 1 in Fig. 2), art 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 provides one group of first stimulus information respectively, and often group comprises 20 stimulus informations, i.e. 20 road test exercise questions.
S5: calculate the feedback information generated according to three group of first stimulus information, wherein, the selection that this feedback information is made for 60 road test exercise questions for experimenter A.
Result of calculation: literature and art creation type database, artistic operational database, the interest index 1=85 that health service type database is corresponding respectively divides, and interest index 2=70 divides, and interest index 3=45 divides.The pre-set threshold value of the present embodiment is 60 points.It can thus be appreciated that, interest index 1 >=pre-set threshold value, interest index 2 >=pre-set threshold value, interest index 3 < pre-set threshold value.
S6: the interest index according to calculating determines the second database: literature and art creation type database and artistic operational database.
S7: literature and art creation type database and artistic operational database are respectively experimenter and provide at least one second stimulus information.
S8: obtain the second feedback information that experimenter A produces according to the second stimulus information.
S9: analyzing and processing second feedback information.
S10: export analysis result: the interest orientation of experimenter A is: writing.
Embodiment 2
Experimenter B, sex female, 13 years old age, junior one, hobby: film, shuttlecock, animation.
The method flow diagram that composition graphs 3 provides carries out interest orientation test to experimenter B.
S1: input personal information, especially hobby information.
S2: extract keyword: film, motion, caricature.
S3: the first database matching at least one related interests type of alignment: literature and art creation type database (database 1 in Fig. 2), art 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 provides one group of first stimulus information respectively, and often group comprises 20 stimulus informations, i.e. 20 road test exercise questions.
S5: calculate the feedback information generated according to three group of first stimulus information, wherein, the selection that this feedback information is made for 60 road test exercise questions for experimenter A.
Result of calculation: literature and art creation type database, artistic operational database, the interest index 1=45 that health service type database is corresponding respectively divides, and interest index 2=51 divides, and interest index 3=38 divides.The pre-set threshold value of the present embodiment is 60 points.It can thus be appreciated that, interest index 1 < pre-set threshold value, interest index 2 < pre-set threshold value, interest index 3 < pre-set threshold value.Literature and art creation type database, artistic operational database, health service type database is all excluded.
S6: the interest index according to calculating determines the second database: select education services type database and service operational database as the second database from remaining database.
S7: education services type database and service operational database are respectively experimenter provides at least one second stimulus information.
S8: obtain the second feedback information that experimenter B produces according to the second stimulus information.
S9: analyzing and processing second feedback information.
S10: export analysis result: the interest orientation of experimenter B is: mathematics.
What deserves to be explained is, the n in Fig. 2 and Fig. 3 be more than or equal to 1 integer.Database 1 to database n, represents that the first database comprises multiple database, is not limited to three databases mentioned in embodiment 1 and 2.Interest index 1 to interest index n and database 1 to database n corresponds to each other.M in Fig. 2 and Fig. 3 be more than or equal to 1 integer.
Embodiment 3
Experimenter C, sex female, 13 years old age, junior one.Hobby: writing, music, film.
Present invention also offers another kind of embodiment.Specifically comprise the following steps:
S1: input personal information.
S2: provide the picture stimulus information of four kinds of interest patterns to allow experimenter select from database, treats that experimenter selects a most interested pictures.Use eye tracker or infrared automatic tracking camera to move index with the eye of the computer recording experimenter be attached thereto simultaneously.
S3:36 type, needs the comparison carrying out nine step S2.Experimenter selects nine kinds of most interested types.
S4: again allow experimenter compare to the nine most interested types selected, discharge sequencing.Use eye tracker or infrared automatic tracking camera to move index with the eye of the computer recording experimenter be attached thereto simultaneously.
S5: by the data of eye movement of APU according to the sequencing of discharging and record, the two is done merging treatment and calculate all types of interest exponential quantities (T mark), what interest exponential quantity was the highest be field that experimenter is most interested in.
It should be noted that; above-mentioned specific embodiment is exemplary; those skilled in the art can find out various solution under the inspiration of the disclosure of invention, and these solutions also all belong to open scope of the present invention and fall within protection scope of the present invention.It will be understood by those skilled in the art that instructions of the present invention and accompanying drawing thereof are illustrative and not form limitations on claims.Protection scope of the present invention is by claim and equivalents thereof.
Claims (10)
1. a cognitive index analysis method for interest orientation value test, is characterized in that, said method comprising the steps of:
The hobby data provided before testing using experimenter as Keywords matching go out at least one related interests type of alignment database and by this database as the first database for experimenter provides at least one first stimulus information;
Determine the interest index of the first feedback information that experimenter provides at least one first stimulus information described;
According to described interest Index selection at least one for providing the interest orientation types of database of at least one the second stimulus information as the second database, make experimenter provide the second feedback information according at least one second stimulus information described;
Analyze described second feedback information and determine the interest orientation of experimenter.
2. the cognitive index analysis method of interest orientation value test according to claim 1, it is characterized in that, at least one comprising this stimulation of at least one first stimulus information described describes, and each description is given different weights, the weight according to the description correspondence of experimenter's selection calculates described interest index.
3. the cognitive index analysis method of interest orientation value test according to claim 2, it is characterized in that, at least one first stimulus information described is the test exercise question presented with vision, the sense of hearing and/or tactile manner, and described in providing for described test exercise question, at least one describes employing five point scale method.
4. the cognitive index analysis method of interest orientation value test according to claim 3, it is characterized in that, at least one description described is specially: do not meet very much, compare and do not meet, generally meet, compare and meet, meet very much, meet described description respectively: do not meet very much, compare do not meet, generally meet, compare meet, the test exercise question quantity that meets very much meets normal distribution curve.
5. the cognitive index analysis method of interest orientation value test according to claim 3, it is characterized in that, described analytical approach adopts sequencing index.
6. according to the cognitive index analysis method of the interest orientation value test one of claim 1 to 5 Suo Shu, it is characterized in that, the interest orientation types of database selecting the interest index of its correspondence in described first database to be more than or equal to pre-set threshold value as the second database for experimenter continues to provide at least one second stimulus information.
7. according to the cognitive index analysis method of the interest orientation value test one of claim 1 to 5 Suo Shu, it is characterized in that, when the interest index that interest orientation types of database all in described first database are corresponding is all less than pre-set threshold value, from the remaining interest orientation types of database being different from described first database, select at least one database as the second database for experimenter provides at least one second stimulus information.
8. according to the cognitive index analysis method of the interest orientation value test one of claim 1 to 5 Suo Shu, it is characterized in that, at least one second stimulus information described is the test exercise question presented with vision, the sense of hearing and/or tactile manner, the script that described second feedback information provides according at least one second stimulus information described for experimenter, sound wave message, reaction time, eye moves state and/or body action.
9. the cognitive index analysis method of interest orientation value test according to claim 8, it is characterized in that, by to described script, described sound wave message, described reaction time, described eye moves the analyzing and processing of state and/or described body action to adjust test question object testing sequence, wherein
Described analyzing and processing comprises semanteme in script accuracy analysis, sound wave message and intonation analysis, the length analysis in reaction time, eye and moves the eye movement of state, blinkpunkt, the blinkpunkt residence time, the analysis of sweep time and/or the facial expression of body action, the analysis of body language.
10. according to the cognitive index analysis method of the interest orientation value test one of aforementioned claim Suo Shu, it is characterized in that, described interest orientation types of database comprises literature and art creation type database, artistic operational database, consumption service type database, health service type database, service operations type database and education services type database.
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