JP2017120595A - Method for evaluating state of application of cosmetics - Google Patents

Abstract

PROBLEM TO BE SOLVED: To reduce the burden of a respondent and to improve answer precision in the case of evaluating the state of application of cosmetics by a questionnaire.SOLUTION: The state of application of cosmetics is evaluated by a method including the following (a) to (e) steps: (a) a step for acquiring an evaluation term group including three or more evaluation terms of the state of application of cosmetics, and a generic evaluation term classification obtained by classifying the evaluation terms by a statistical method; (b) a step for allowing the respondent to optionally select at least one evaluation term from the evaluation term group acquired in (a) with respect to a cosmetic to be evaluated, and creating a questionnaire including a format for giving an evaluation value to the evaluation term; (c) a step for inquiring of the respondent the questionnaire created in (b) to acquire answer data; (d) a step for calculating evaluation scores on the basis of the evaluation terms receiving an answer in the questionnaire of (c) and the evaluation value, and totalizing the evaluation scores in each generic evaluation terminal classification; and (e) a step for outputting an evaluation result including the totalization result obtained in (d).SELECTED DRAWING: Figure 1

Description

  The present invention relates to an evaluation method and an evaluation system for a cosmetic application state using a questionnaire survey.

  Since the feeling of use of cosmetics and the like is sensory, evaluation based on a questionnaire survey is often performed. As a questionnaire survey, a free answer format such as free writing or an oral response to an interview and a selected answer format such as “good” or “bad” are used for a question on a predetermined evaluation term.

  In a free-response questionnaire survey, respondents can respond more freely to evaluation terms and are more likely to hear their real intentions. On the other hand, if the respondent's workload is heavy and sufficient response time cannot be secured, no response will be made There is a case. In addition, since the representation format of the obtained answers is not uniform, it is difficult to aggregate and analyze the answer data, and analysis of the answer data using the free answer formula tends to rely on qualitative methods including the intuition of the experimenter. there were.

  On the other hand, in the questionnaire survey of the selected answer format, since the answer is a selection formula, the burden on the respondent is small, and the counting and analysis are easy. However, depending on the selection of evaluation terms, the result may be biased or inappropriate, and target evaluation information may not be obtained.

  Therefore, in order to prevent bias in questionnaire results and selection of inappropriate evaluation terms, many evaluation terms are classified into similar categories, and evaluation terms that represent each category are set for classifications that suit the evaluation purpose. In addition, a method of conducting a questionnaire with the representative evaluation terms has been proposed (Patent Document 1, Non-Patent Document 1).

JP 2011-38959 A

Arimura et al., “Analysis and Evaluation Method of Foundation Mochi Mochi” JSCCJ, 22 (3), pp.149-154, 1988

  However, in the questionnaire survey in which a question is asked using an evaluation term representing each classification described in Patent Document 1, depending on the expression of the evaluation term, from the influence of the understanding of the respondent's expression, skin condition, psychological condition, etc. In some cases, respondents may not be able to evaluate their own mentality well, such as responding that they do not fall under the condition of the evaluation term, and the questionnaire response data accurately reflects the respondent's mentality However, there is a concern that the accuracy of responses will be reduced.

  The present invention uses cosmetics while reducing the burden on respondents of questionnaires when evaluating cosmetic finishes and cosmetic application conditions such as makeup breakage using a questionnaire to cosmetic users. It is an object to obtain an evaluation result close to the actual user's actual use feeling, and to easily collect the answer data of the questionnaire to enable detailed analysis.

  The inventor categorizes each evaluation term by a statistical method and (i) an evaluation term group including evaluation terms of various expressions that can be used when the cosmetic user evaluates the application state of the cosmetic. If the respondent is asked to answer the questionnaire using the evaluation term group for the cosmetics to be evaluated in advance, the respondent will receive his / her own Respondents can selectively answer only those evaluation terms that are close to the heartbeats and are easy to answer, (ii) This makes it possible for respondents not to worry about understanding the evaluation terms, and (iii) the questionnaire response data accurately reflects the respondents' heartbeats It was found that the accuracy of the response can be improved, and (iv) the use of the generic evaluation term classification for the aggregation of the response data of the questionnaire can easily and accurately grasp the characteristics of the cosmetic application state, The present invention Was completed.

That is, this invention provides the evaluation method which evaluates the application state of cosmetics by the method containing the following step (a)-(e).
(A) obtaining an evaluation term group including three or more evaluation terms of the application state of the cosmetic and a generic evaluation term classification obtained by classifying these evaluation terms by a statistical method;
(B) A format in which the respondent arbitrarily selects an evaluation term from the evaluation term group acquired in step (a) for the cosmetic to be evaluated, and gives an evaluation value to the evaluation term. Creating a survey containing,
(C) asking the respondent about the questionnaire created in step (b) and obtaining answer data;
(D) calculating an evaluation score based on the answer data including the evaluation term and the evaluation value that were answered in the questionnaire in step (c), and summing up each generic evaluation term category;
(E) A step of outputting an evaluation result including the counting result obtained in step (d).

Moreover, this invention is a system which implements the above-mentioned evaluation method, Comprising: The application state of the cosmetics with which the arithmetic unit is equipped with the following (A) database and the means of (B)-(E) is evaluated. Provide an evaluation system.
(A) a database that records evaluation term groups including three or more evaluation terms of the application state of cosmetics, and a generic evaluation term classification obtained by classifying these evaluation terms by a statistical method;
(B) For the cosmetics to be evaluated, an evaluation term group that asks about the application state of the cosmetic is extracted from the evaluation term group recorded in the database (A), and the evaluation terms included in the evaluation term group A questionnaire creating means for creating a questionnaire including a format in which the respondent arbitrarily selects at least one evaluation term and gives an evaluation value to the evaluation term;
(C) Questionnaire presenting means for presenting the questionnaire created by means (B) to the respondent, and answer capturing means for capturing the answer data from the respondent,
(D) Questionnaire counting means for counting evaluation values included in the answer data captured by means (C) for each generic evaluation term classification;
(E) Output means for outputting an evaluation result including the total result of the means (D).

  According to the evaluation method of the present invention, since various evaluation terms are used in the questionnaire on the application state of cosmetics, it is possible to reduce the burden of the respondent having trouble understanding the evaluation terms in the questionnaire.

  In addition, since the respondent can arbitrarily select an evaluation term from a variety of evaluation terms, the respondent can respond only to an evaluation term that is close to his / her own feeling and is easy to answer. Therefore, the answer data of the questionnaire accurately reflects the respondent's feelings, so that the accuracy of the reply can be improved and the work load on the respondent can be reduced.

  Furthermore, according to the evaluation method of the present invention, since evaluation terms used in questionnaire questions and their generic evaluation term classification are associated in advance, many evaluation terms of various expressions are used in the questionnaire questions. However, the questionnaire response data can be easily aggregated using the generic evaluation term classification, and the questionnaire results for each cosmetic can be compared and examined in detail.

FIG. 1 is a process explanatory diagram of an evaluation method of an example. FIG. 2 is a specific example of the questionnaire of the present invention. FIG. 3 is a specific example of the answer column of the questionnaire of the present invention. FIG. 4 is a dendrogram obtained by cluster analysis of the data group of Example 1. FIG. 5 is a mapping diagram showing the appearance probability of the generic evaluation term classification on the face schematic diagram when the normal background is used and when the base with high makeup persistence is used. FIG. 6 shows the appearance probabilities for “sebum floating”, “feel”, and “non-uniformity” among the generic evaluation term categories when using a normal base and a base with high makeup persistence. It is the mapping figure which represented on the face schematic diagram. FIG. 7 shows the typical makeup breakage evaluation terms “Electric” when using a normal base and a base with a high makeup persistence, “Fundamentals accumulate in pores, and pores are conspicuous” It is the mapping figure which expressed the appearance probability of "the foundation is good" on the face schematic diagram. FIG. 8 shows the probability of appearance of “sebum floating”, “texture”, and “non-uniformity” among the generic evaluation term categories when a normal base is used and a base with high makeup persistence is used. It is the bar graph showing. FIG. 9 shows typical makeup breakage evaluation terms “when you use a normal foundation and when using a foundation with a high makeup persistence”, “the foundation accumulates in the pores, and the pores stand out”, It is a bar graph showing the appearance probability of “Having a foundation”.

Hereinafter, the present invention will be specifically described with reference to the drawings.
<Outline of Evaluation Method of the Present Invention>
The evaluation method of the present invention is a method for evaluating the application state of cosmetics by a questionnaire. The application state of the cosmetic of the present invention is intended for evaluation of the state of the applied cosmetic, such as the finished state of the applied cosmetic, the makeup collapse state, the remaining makeup after washing, and the like. The items include the condition observed from the appearance such as conspicuous pores, color change and wrinkles, and the feeling of use by the applied cosmetics such as stickiness, refreshment, film feeling, and dryness. In the present invention, those evaluation items expressed as specific terms are referred to as evaluation terms.

  Cosmetics include base makeup, liquid foundation, powder foundation, cream foundation, mousse foundation, loose powder, pressed powder, concealer and other base makeup cosmetics, lipstick, lip gloss, lip liner, blusher, eye shadow, eyeliner , Point makeup cosmetics such as eyebrows, mascara, nail polish, nail gloss, and hair cosmetics such as hair sprays, hair mousses, hair waxes, and hair dyes.

  Examples of the application part of the cosmetic include skin including lips, face, neck, hands, feet, back, chest, hair such as lips, eyelashes, eyebrows, and head hair, and nails.

  Of the cosmetic application states, the cosmetic finish state refers to the application state immediately after the cosmetic application, and the makeup collapse state refers to the application state that has changed over time immediately after the cosmetic application. A remaining state means the application state after washing | cleaning of the to-be-coated part which apply | coated cosmetics.

  In addition, the application state that has changed over time immediately after the application of the cosmetic is due to a change in the application state due to secretions from the skin such as sweat and sebum, and because the part where the cosmetic is applied contacts other objects Changes in the application state due to the peeling of the cosmetic, changes in the application state due to the flow of the cosmetic accompanying blinking and facial expression changes, and the like are included.

  FIG. 1 is a process explanatory diagram of an evaluation method according to an embodiment of the present invention.

This evaluation method has the following steps (a) to (e).
(A) obtaining an evaluation term group including three or more evaluation terms of the application state of cosmetics, and a generic evaluation term classification obtained by classifying these evaluation terms by a statistical method;
(B) A format in which the respondent arbitrarily selects an evaluation term from the evaluation term group acquired in step (a) for the cosmetic to be evaluated, and gives an evaluation value to the evaluation term. Creating a survey containing,
(C) asking the respondent about the questionnaire created in step (b) and obtaining answer data;
(D) A step of calculating an evaluation score based on the answer data including the evaluation term and the evaluation value answered in the questionnaire in step (c), and totaling for each generic evaluation term classification.
(E) A step of outputting an evaluation result including the counting result obtained in step (d).

<Step (a)>
Since there are many evaluation terms for the application state of cosmetics and many of them are similar in content, the evaluation terms are first classified by a statistical method in order to grasp the characteristics of each evaluation term. The names of the individual classifications are appropriately defined based on the contents of the evaluation terms classified by the statistical method, and the defined classification names are referred to as generic evaluation term classifications in the present invention.

The evaluation term and its generic evaluation term classification acquired in step (a) can be acquired in the following steps (a1) to (a3).
(A1) Collecting evaluation terms of cosmetic application state and creating an evaluation term group including three or more evaluation terms (a2) Evaluation terms selected from the evaluation term group of (a1) and the evaluation terms A method for acquiring evaluation values from a plurality of respondents and creating a data group including a pair of response data composed of evaluation terms and evaluation values,
(A3) A step of classifying the data group of (a2) using a statistical method and defining a generic evaluation term classification.

  Of these, in step (a1), from the viewpoint of ensuring variations in the evaluation terms, evaluation terms representing the application state of the cosmetics for evaluation purposes are used as answers in home use tests, homepages, SNS cosmetics on the Internet, etc. It is preferable to collect it comprehensively from comments and the like. It is preferable to collect evaluation terms from a wide range of viewpoints such as appearance (texture, gloss, etc.), physical properties (hardness, viscosity, etc.), touch (transparency, moist feeling, etc.), and similar expressions. More preferably, the evaluation terms can be covered. A text mining method may be used for these collections.

  For the purpose of evaluating the makeup break-up state of the foundation, as an example of evaluation terms with similar expressions, we have already extracted evaluation terms that represent the makeup-breaking state related to the foundation, such as “Tekaru” and “The foundation depends” , When including “Tekaru” in the evaluation term, the main factor of the phenomenon of “Ekaru” is sebum. It is preferable that these are included in the evaluation terms and used as the evaluation terms constituting the evaluation term group of cosmetic break-up. In addition, when including “foundation” is included in the evaluation term group, “foundation becomes uneven”, “foundation becomes damaging”, “foundation gets into wrinkles” These expressions are preferably used as evaluation terms constituting the evaluation term group for makeup break-up.

  The number of evaluation terms is required to be at least 3 or more in order to carry out classification by the statistical method described below, and is preferably 10 or more, more preferably 15 or more, in order to ensure the versatility of expression of evaluation terms. . Moreover, in order to reduce the work burden of the respondent, 100 or less is preferable, and 50 or less is more preferable.

  As an example of the case where the makeup break-up state of the foundation is intended for evaluation, the evaluation terms constituting the evaluation term group for the makeup-breaking state of the foundation include the following.

(Evaluation terms for the makeup break-up state of the foundation)
The foundation is floating,
The foundation is ridiculous,
The foundation is uneven,
The foundation is good,
There is no adhesion of the foundation,
The covering power of the foundation has been lowered.
The foundation is gone,
The foundation is in the wrinkles,
The pore foundation comes off and the pores stand out.
The foundation accumulates in the pores and the pores stand out.
The color of the foundation has changed,
The foundation is dull,
The foundation has accumulated,
The sebum is floating,
Powdery,
It ’s bulky,
Shining,
Uneven color is noticeable,
Skin-like,
It became wrinkled.

  As another aspect of the present invention, in the case of aiming for a cosmetic disintegration state other than the foundation, an evaluation term group may be created for each type of cosmetic, and the application state of the cosmetic for evaluation purpose is the finished state of the foundation. In this case, it is sufficient to create an evaluation term group for the finished state of the foundation according to the case of evaluating the makeup disintegration state, collect the evaluation term group for each evaluation purpose, and evaluate the term group for each cosmetic application state. It is preferable to create

  In step (a2), evaluation terms selected from the evaluation term group obtained in step (a1) as described above and evaluation values for the evaluation terms are obtained from a plurality of respondents, and 1 consisting of evaluation terms and evaluation values. Create a data group that includes paired response data.

  Although respondents in obtaining the data group in step (a2) differ depending on the evaluation purpose, it is preferable to prepare respondents having various ages, skin colors, and skin qualities in order to prevent bias in classification. The total number of respondents is preferably larger than the number of evaluation terms included in the evaluation term group.

  The cosmetics for obtaining the data group of step (a2) vary depending on the purpose of evaluation, but generally the cosmetics in accordance with the purpose of evaluating a predetermined application state of the cosmetics in order to prevent bias in classification. If it is the category of this, it will not restrict | limit in particular, It is more preferable that there are variations in elements, such as a dosage form, a color, and a usage method. As an example, when evaluating a foundation as a cosmetic, it is not particularly limited as long as it falls within the category of foundation, and the dosage form (liquid / solid, aqueous / oily, etc.), color (brightness, hue, saturation) Etc.) and foundations having different elements such as usage methods (application methods, etc.) can be selected.

  When obtaining the data group in step (a2), the evaluation value for each evaluation term must be evaluated by a standard that is common to each data group, but the type of evaluation method depends on the purpose of the evaluation. Can be set.

  Specific types of evaluation methods include the standard method, SD method, Likert method, paired comparison method, ranking method, scoring method, magnitude estimation, and the like. In addition, the criteria of the evaluation value can be set as appropriate depending on the purpose of evaluation. However, the criteria can be divided into two or more grades and divided into three or more grades from a two-step assessment such as presence / absence and 0/1. From the viewpoint of facilitating the evaluation and the level of the evaluation result, it is preferable to provide the evaluation value standards in five or seven odd stages.

  As an example of the evaluation method and the evaluation criteria, when evaluating the cosmetic disintegration state as the cosmetic application state, the evaluation criterion is “a little worrisome” by the Likert method as the evaluation term “degree of concern for cosmetic disintegration”. 5 points, with 5 points for “I am very interested”, 5 points for “I do n’t want to fix it”, and 5 points for “I want to fix it now” 5 Grade evaluation is given.

  In addition, when obtaining the data group of step (a2), each respondent does not necessarily give an evaluation value to all evaluation terms included in the evaluation term group, but in order to appropriately perform statistical processing, When there are evaluation terms that have not been evaluated through the entire data group, it is preferable to exclude the evaluation terms from the evaluation term group.

  In step (a3), the data group of (a2) is classified using a statistical method, and a generic evaluation term classification is defined. The number and names of generic evaluation term categories can be defined as appropriate, but from the viewpoint of collecting and analyzing questionnaire results by generic evaluation term categories, the number and names of generic evaluation term categories are It is preferable to determine from elements and properties common to the evaluation terms contained therein. Moreover, it is preferable to perform this classification for each application state of the cosmetic material to be evaluated. For example, FIG. 4 to be described later is a case where the number of divisions of the Euclidean distance in the cluster analysis based on the evaluation term and evaluation value of the makeup disintegration state of the foundation is 6, but (1) In dullness, “Color is changing” and “Foundation is dull” are included in the same classification. Therefore, the common property of these color dullness is superposed and “dullness” is a generic evaluation term. The name of the classification. Thus, in the cluster analysis, it is preferable that the generic evaluation term classification of evaluation terms is set so as to be a superordinate concept of evaluation terms.

  The number of generic evaluation term categories is not particularly limited, but is preferably 1/2 to 1/6 of the number of evaluation terms in the evaluation term group from the viewpoint of easily compiling and analyzing the questionnaire results. 1/3 to 1/5 is more preferable.

  For example, when evaluating the cosmetic disintegration state and the cosmetic finish state as the cosmetic application state, select the evaluation term for the cosmetic disintegration state and the evaluation term for the cosmetic finish state, respectively. It is preferred to define a classification.

More specifically,
X = {X ₁ , X ₂ ,..., Xi,... X _n | X _i represents each evaluation term. n represents the number of evaluation terms. },
The evaluation value group for the evaluation term group _{x = {x 1, x 2} , ··, xi, ··, x n │x represents the respective evaluation values. n represents the number of evaluation values. },
Y = {Y ₁ , Y ₂ ,..., Yj,..., Y _m | Y _j represents each generic evaluation term classification. m represents the number of generic evaluation term categories. },
Y = {y ₁ , y ₂ ,..., Yj,..., Y _m | y _j represents each evaluation score for the generic evaluation term classification group. m represents the number of evaluation scores. },
Coefficient matrix indicating classification relationship W = {w _ij | i = 1,2,..., N, j = 1, 2,.
Then, these can be expressed as a classification table shown in Table 1.

  As a statistical method for obtaining a classification table such as Table 1, cluster analysis (hierarchical or non-hierarchical), principal component analysis, factor analysis, and the like can be used.

  When the number of generic evaluation classifications cannot be specified in advance, it is preferable to use hierarchical cluster analysis. Hierarchical cluster analysis eliminates the need to determine the number of generic evaluation term classifications (number of clusters) in advance, and how the resulting clusters are combined from the resulting dendrogram. The number of generic evaluation term categories suitable for the purpose of evaluation can be determined later while confirming each one. As distance (similarity) used for cluster analysis, Euclidean distance, standard Euclidean distance, Mahalanobis distance, Manhattan distance, Chebyshev distance, Minkowski distance, cosine similarity, Pearson correlation function, etc. can be used. It is preferable to use the Euclidean distance because the correlation between these is often not clear. Various methods such as a ward method, a group average method, a shortest distance method, and a longest distance method can be used as a distance measurement method between clusters, but it is preferable to use a ward method with high classification sensitivity.

  As an example, when cluster analysis (hierarchical type) is used, a classification table can be obtained by the following equation (1).

Here, a _ij is a constant indicating the depth of association between the evaluation term X _i and the generic evaluation term classification Y _j , and is used as a weighting parameter in the calculation of the evaluation score in step (d) in the present invention. Is. In the calculation of the evaluation score in step (d), a weight is not applied and a value of a _ij is set to 1 when each evaluation term is treated equally, and when weighting is performed, an arbitrary real number is set to a _ij .

In another aspect, when principal component analysis or factor analysis is used as a statistical method, a classification table can be obtained from eigenvectors or factor loadings. At this time, with reference to eigenvectors and factor loadings, a specific name of the generic evaluation term classification Y _j of each evaluation term X _i can be defined, and a classification table can be created according to the above-described equation (1). In addition, eigenvectors and factor loadings can be used as they are in the coefficient matrix w _ij .

  In addition, it is preferable to construct a database in which an evaluation term group and a generic evaluation term classification corresponding to each evaluation term are associated with each application state of cosmetics to be evaluated.

  In the present invention, once an evaluation term group for evaluating the application state of a specific cosmetic and a generic evaluation term classification corresponding to each evaluation term are created, the application state of the same cosmetic is subsequently evaluated. The above steps (a1) to (a3) for acquiring these can be skipped, and the previously created evaluation term group and generic evaluation term group can be used.

<Step (b)>
In step (b), for the cosmetics to be evaluated, a questionnaire is created for the respondent to answer the application state using the evaluation term group acquired in step (a). In the present invention, the question in the questionnaire includes a format in which the respondent himself arbitrarily selects an evaluation term for the evaluation term acquired in step (a) and gives an evaluation value to the selected evaluation term.

  The evaluation value given by the respondent in the questionnaire is preferably such that the evaluation value can be answered according to the same criteria as in step (a2).

  As an example of a specific aspect of such a questionnaire, when evaluating the makeup collapse state of the foundation as the application state of the cosmetic, after applying the foundation, the makeup failure state of the foundation after a predetermined time has passed to any evaluation term On the other hand, it is possible to use a questionnaire as a question content for selecting an evaluation value in a five-step evaluation by using the Likert method, in which 0 points are given when there is no evidence of the evaluation terms, and 4 points are given when it is clearly felt.

  In addition to the evaluation terms and evaluation values, in the questionnaire, in order to grasp the application state of the cosmetics in more detail, the evaluation part that is in the state corresponding to the evaluation terms, its size and shape, etc. are combined as response data. Preferably obtained. As the answer format of the evaluation part, there are a description format using sentences such as the entire forehead and the vicinity of the fringe line, and a graphical method of entering the corresponding range in a schematic diagram of the face.

  As an example of a specific aspect of such a questionnaire, when evaluating the makeup collapse state of the foundation as the application state of the cosmetic, the respondent uses his / her own evidence from the evaluation terms (makeup failure words) shown in FIG. An evaluation term considered to be applicable is arbitrarily selected, and a numerical value 1 to 5 of “degree of concern about makeup loss” is answered for the selected evaluation term. As the evaluation criteria, a five-point evaluation according to the Likert method was made with a 5-point evaluation of 1 point for “a little worried but not enough to fix” and 5 points for “very worried. I want to fix it now”. On the schematic diagram of the face shown in FIG. 2, the part to be evaluated by the respondent with respect to a specific evaluation term is illustrated (indicated by slanted lines) and associated with the illustrated part by a lead line or the like. T) and an evaluation value (1 to 5) based on the evaluation standard can be entered to answer the questionnaire.

  In addition, the questionnaire of the present invention includes age, skin color, skin type (greasy, dryness, etc.), easiness of sunburn, presence of allergies, habits such as eating and smoking, and types of cosmetics that are usually used. It may include using questions other than the application state of cosmetics such as.

<Step (c)>
In step (c), the respondent is asked the questionnaire created in step (b), and answer data is obtained from the respondent. In the questionnaire created in step (b), questions are created using a variety of evaluation terms, and respondents can selectively answer evaluation terms that they can easily answer. There is no need to worry, and the answers to the questionnaire will accurately reflect the respondent's feelings, and the accuracy of the answers can be improved.

<Step (d)>
Step (d) is a step in which an evaluation score is calculated from the answer data of the questionnaire in step (c) and tabulated for each generic evaluation term category. In this step, an evaluation score is calculated based on the answer data including the evaluation term and the evaluation value obtained as an answer to the questionnaire in step (c), and totaled for each generic evaluation term classification.

The calculation method of the evaluation score can be obtained by the same method as the statistical method from which the generic evaluation term classification is derived in the above step (a3). That is, the evaluation term group _{X = {X 1, X 2} , ··, Xi, ·· X n │X i represents the respective evaluation terms. n represents the number of evaluation terms. }, The evaluation value group for the evaluation term group _{x = {x 1, x 2} , ··, xi, ··, x n │x represents the respective evaluation values. n represents the number of evaluation values. }, Generic evaluation term classification group Y = {Y ₁ , Y ₂ ,..., Yj,..., Y _m | Y _j represents each generic evaluation term classification. m represents the number of each generic evaluation term classification. }, Y = {y ₁ , y ₂ ,..., Yj,..., Y _m | y _j represents each evaluation score for the generic evaluation term classification group. m represents the number of evaluation scores. }, A coefficient matrix indicating the classification relationship W = {w _ij | i = 1,2,..., N, j = 1, 2,..., M}, and the evaluation term selected by the respondent is X _s ∈ Assume that x _s ∈x is an evaluation value for X and X _s . Here, the evaluation value of the evaluation term that is not selected by the respondent is set to 0 (x _i −x _s = {0}).

As a method of obtaining the evaluation score y, for example, in the case of principal component analysis or factor analysis, there is a method of adopting a product sum as shown in Equation (2), and in the case of cluster analysis, for each classification, A method of employing the maximum evaluation score as in (3), a method of employing a weighted average as in Equation (4), or binarization at a predetermined evaluation value (k) as in Equation (5) ( a and b are constants, w _ij is not weighted), or a method of adopting multi-values of two or more values.

  In addition, in the questionnaire created in step (b), in addition to the evaluation term and the evaluation value, when an evaluation part corresponding to the evaluation term is also answered, an evaluation score is given for each evaluation part. Can be calculated.

  As a calculation method of the calculated evaluation scores, there is a method of obtaining the average value, median value, mode value, etc. of the evaluation scores for each generic evaluation term classification. In addition to the generic evaluation term classification, the total categories include respondents' gender, age, region (place of birth, location, etc.), skin properties (dry skin, oily skin, etc.), lifestyle, cosmetics usage history, Aggregation can be performed together with the generic evaluation term classification using classifications such as evaluation time, place, and evaluation conditions (evaluation sample, evaluation site, etc.).

  As an example of a calculation method of the calculated evaluation score, there is a method of displaying the average evaluation score for each generic evaluation term classification as a bar graph, a line graph, a chart diagram or the like and totaling it. In addition, when the evaluation part is also answered, a schematic diagram showing the coated part of the cosmetic including the evaluation part for each generic evaluation term classification is shown, and the center of the corresponding evaluation part on the schematic diagram is shown. A circle having a predetermined size and color classification based on the evaluation score may be displayed by mapping or may be aggregated. Alternatively, the schematic diagram may be divided into predetermined regions in advance, an average evaluation score for each region may be calculated, color-coded based on the average evaluation score, mapped and displayed.

  By counting the questionnaire evaluation results in this manner, the questionnaire results can be easily compared and examined. As an example, when the makeup application state of a foundation is evaluated as a cosmetic application state, it is easy to examine the effects of makeup breakage by comparing the effects of preventing makeup collapse of multiple foundations, and determining the cause of makeup loss, etc. Can do.

<Step (e)>
In step (e), an evaluation result including the calculated total result is output. The output method is not particularly limited. For example, the counting result may be displayed on a screen of a specific computer or mobile phone, or may be output and output on paper. The respondent, measurer, or third party grasps the contents.

  The evaluation results to be output include evaluation terms, evaluation term groups, evaluation values, evaluation value groups, generic evaluation term classifications, generic evaluation term classification groups, and evaluation parts in addition to the calculated total results. Can appropriately select the evaluation site and other information acquired in the evaluation.

The cosmetic application state evaluation system of the present invention is an apparatus useful for carrying out the above-described cosmetic application state evaluation method of the present invention. The computing device includes the following (A) database and means (B) to (E).
(A) a database that records evaluation term groups including three or more evaluation terms of the application state of cosmetics, and a generic evaluation term classification obtained by classifying these evaluation terms by a statistical method;
(B) For the cosmetics to be evaluated, an evaluation term group that asks about the application state of the cosmetic is extracted from the evaluation term group recorded in the database (A), and the evaluation terms included in the evaluation term group A questionnaire creating means for creating a questionnaire including a format in which respondents arbitrarily select an evaluation term and give an evaluation value to the evaluation term,
(C) Questionnaire presenting means for presenting the questionnaire created by means (B) to the respondent, and answer capturing means for capturing the answer data from the respondent,
(D) Questionnaire counting means for counting the evaluation values included in the answer data captured by the means (C) for each generic evaluation term classification;
(E) Output means for outputting an evaluation result including the total result of the means (D).

  The (A) database, (B) questionnaire creating means, (C) questionnaire presenting means and answer capturing means, and (D) questionnaire totaling means may be mounted on a single computing device, or separate computing devices. It is good also as what was mounted in and connected by the communication means.

  (A) The database is constructed by the aforementioned step (a). In this database, for each type of cosmetics such as foundation, lipstick, etc., for each application state for the purpose of evaluation such as cosmetic finish, cosmetic disintegration state, evaluation terms included in the evaluation term group and their generic evaluation terms Are preferably registered in association with each other.

  Moreover, once a database in which an evaluation term group for evaluating the application state of a specific cosmetic and a corresponding generic evaluation term classification is associated and registered can be constructed, the application state of the same cosmetic is subsequently evaluated. In this case, an existing database can be used without constructing a new database.

  (B) The questionnaire creation means is a means for creating a questionnaire used in the above-described step (c) for the application state of the cosmetic to be evaluated. In this questionnaire creation means, an evaluation term group that asks the cosmetic application state is extracted from the evaluation term group recorded in the database (A), and the evaluation term group is included in the evaluation term group. A questionnaire including a form in which the respondent arbitrarily selects an evaluation term using the included evaluation terms and gives an evaluation value to the evaluation terms is created.

  An example of such a specific aspect of the questionnaire is the questionnaire described in step (b).

  A questionnaire creation means can be formed by incorporating an application having a document creation function, a drawing insertion function, and the like into a computing device. Further, the questionnaire creation means can take in data from the above-mentioned database so that a questionnaire can be easily created. preferable. In this case, it is preferable that the evaluation term group used in the questionnaire questions and the generic evaluation term classification group can be appropriately taken from the above-mentioned database for each application state of the cosmetics intended for evaluation. More preferably, it can be taken in for each type of application state to be evaluated.

  Furthermore, the questionnaire preparation means include age, skin color, skin type (greasy, dryness, etc.), easiness of sunburn, presence of allergies, habits such as meals and smoking, types of cosmetics used regularly, etc. Questions other than the application state of the cosmetic may be created.

  (C) The questionnaire presenting means and the answer taking-in means are means for conducting a questionnaire. That is, the questionnaire presenting means presents the questionnaire created by the means (B) to the respondent, and the answer fetching means is the evaluation term arbitrarily selected by the respondent as the answer data of the questionnaire and the evaluation for the evaluation term. Capture value.

  The method by which the questionnaire presenting means presents the questionnaire to the respondent is not particularly limited. For example, the PC or mobile phone can be used so that the questionnaire can be viewed on the screen of a computer or mobile phone operated by a specific respondent. The terminal machine may be used to guide the URL for publishing the questionnaire screen, or the questionnaire screen may be transmitted, and the questionnaire posted on a specific homepage on the Internet is sent to an unspecified number of respondents or specific respondents. May be browsed via a communication line. Alternatively, a questionnaire may be output as paper.

  As a response form to the questionnaire by the respondent, for example, when the respondent acquires a questionnaire through the communication line, select at least one evaluation term from the evaluation term group on the questionnaire acquired through the communication line Then, an evaluation value for the evaluation term is input. The input can be performed by using a keyboard such as a computer, a touch panel, a mouse, etc., verbal input by voice, and a method of capturing written responses on paper with a scanner or a camera. Thus, examples of the answer fetching means include a means for fetching answer data input by a respondent through a communication line.

  (D) The questionnaire counting means calculates an evaluation score of the generic evaluation term classification based on the answer data captured by the means (C). The calculation of the evaluation score is performed by the statistical method described in step (d). Therefore, the questionnaire counting means can be configured by an arithmetic unit such as a personal computer equipped with spreadsheet software capable of performing this statistical method.

  In addition, (B) in the questionnaire creation means, when a questionnaire is made to answer the evaluation site as well, the application part of the cosmetic including the evaluation site for each generic evaluation term classification is used as a questionnaire counting means. A schematic diagram is shown, and a model having a function of mapping and displaying a circle of a predetermined size and color based on the evaluation score at the center of the corresponding evaluation site on the schematic diagram can be used. Alternatively, the schematic diagram may be divided into predetermined regions in advance, and an average evaluation score for each region may be calculated, color-coded based on the average evaluation score, and displayed by mapping. As a result, the type and location of makeup break-up can be easily grasped visually.

  (E) The questionnaire output means outputs an evaluation result including the calculated aggregation result. The output means is not particularly limited. For example, the counting result may be displayed on a screen of a computer, a mobile phone, or the like, or may be output and output on paper. The respondent, measurer or third party grasps the contents of the evaluation results.

  Hereinafter, the present invention will be specifically described with reference to the drawings.

  Evaluation of the makeup collapse state with the passage of time after using the foundation was performed by changing the makeup base.

(Extraction of evaluation terms)
First, by referring to the questionnaire results in the free answer format in the home use test, the homepage, evaluation comments on cosmetics on the SNS, etc., the evaluation terms representing the makeup collapse state related to the foundation are extracted, and the evaluation terms shown in Table 2 It was created.

(Definition of generic evaluation classification)
Perform the following evaluation test for the cosmetic disintegration state in advance, obtain evaluation terms and evaluation values for the evaluation terms from multiple respondents, and statistically analyze a data group including a pair of response data consisting of evaluation terms and evaluation values And a generic evaluation term classification was defined.

(Evaluation sample)
Three types of makeup base (two types including a film-forming agent and a type that does not include a film-forming agent) were used, and six types of foundation (including powder type, liquid type, cream type, etc.) were used. .

(Evaluation method)
Subject (adult female, N = 97 (with some overlap)) uses the subject's foundation, uses the subject's foundation, and evaluates it as 4 hours, 8 hours after starting use of the foundation, 10 hours later, 10 After a period of time, respondents used a mirror to visually evaluate the respondent's own makeup collapse state, and conducted a questionnaire survey regarding the makeup collapse state. About the evaluation test, when having the same respondent evaluate a plurality of makeup bases or foundations, the evaluation was performed by changing the date and using different makeup bases or foundations. Make-up bases and foundations are used on the face by the respondents in their normal usage. During the evaluation, the use of all makeup cosmetics other than the target base and foundation is prohibited. Was also prohibited.

  The questionnaire survey uses the evaluation terms (makeup breakage word) and evaluation criteria (the degree to which makeup breakage is worrisome) shown in FIG. 2, and the respondent shows the evaluation site on the schematic diagram of the face shown in FIG. And the evaluation values (1 to 5) based on the evaluation terms (A to T) and evaluation criteria are entered.

(Classification method)
The questionnaire response results obtained by the evaluation test were compiled, and a data group consisting of data in which evaluation terms and evaluation values were paired was obtained for each respondent and each evaluation time. Although the appearance frequency varied depending on the evaluation terms, it was confirmed that all the evaluation terms were used in all the response results. In addition, the evaluation value of the evaluation term which was not selected by the respondent was set to 0, and the data group without the loss of evaluation value was constructed.

When the hierarchical cluster analysis (Euclidean distance was used as a distance and the Ward method was used as a classification method) was applied to the obtained data group, the dendrogram shown in FIG. 4 was obtained. The threshold value is set manually from the dendrogram and divided into six clusters. Based on the contents of the evaluation terms in the cluster, the generic evaluation classification shown in the diagram of FIG. 4 includes dullness, sebum float, texture, and lightness. Defined wrinkles, non-uniformity. Weighting of each evaluation term was not performed (when a _ij = 1 in the above formula (1)), and a classification table for the generic evaluation classification in Table 3 was obtained.

(Evaluation of makeup collapse)
Using the evaluation terms in Table 2 and the generic evaluation classification table in Table 3, when using a W / O emulsified makeup base (hereinafter referred to as a normal base) that does not contain a film-forming agent, After using the same powder type foundation when using a W / O emulsified makeup base (hereinafter referred to as a base with high makeup sustainability) containing a film-forming agent that is considered to have a high persistence. Evaluation of the makeup collapse state associated with was carried out.

  As an evaluation method, similarly to the evaluation method described above, 10 adult women were asked to use the target foundation after using the target makeup base, and the evaluation time was 4 hours and 8 hours after the start of using the foundation. After 10 hours later, the respondents visually evaluated the makeup of the respondents using a mirror, and conducted a questionnaire survey on the makeup collapse. The same respondent was asked to change the day and use a makeup base different from the last used makeup base, and evaluated in the same manner.

  Make-up bases and foundations are used by the respondents on their faces in their normal usage. During the evaluation, all makeup cosmetics other than the target make-up base and foundation are prohibited. Was also prohibited.

  In the questionnaire survey, one question is given for the evaluation term (makeup breakage word) shown in FIG. , "I am very worried. I want to fix it now" is a five-point evaluation, and the respondent shows the evaluation part on the schematic diagram of the face shown in FIG. The signs (A to T) and evaluation values (1 to 5) of the evaluation terms to be entered are entered.

(Total survey results)
In the answer to the questionnaire, the evaluation site of the makeup collapse state shown in the figure is manually applied to the cheek, buttocks, eyelids, nose muscles, current, nose, subnasal, nose, cheek, spine line, mouth side, chin, face line (If the evaluation site spans multiple areas, apply it to multiple areas) and use the evaluation terms listed in each area to calculate the appearance probability of the generic evaluation term classification in each area .

Specifically, binarization was performed using equation (5 ′) so that the evaluation score y _i for each evaluation term was 0/1 (evaluation terms appeared / not). 5), k = 1, a = 0, b = 1). Since w _ij is not weighted, a _ij = 1.

  Subsequently, an average evaluation score was calculated for each generic evaluation term category and region, and an appearance probability of the generic evaluation term category in each region was obtained. In addition, these appearance probabilities are the appearance probabilities in the entire evaluation time including the respective response data 4 hours, 8 hours, and 10 hours after the start of use of the foundation.

  For each makeup base, the appearance probability of the generic evaluation term classification was calculated for each region and mapped on the schematic diagram of the face. The result is shown in FIG.

  As shown in FIG. 5, it can be seen that when the base having high makeup persistence is used, the appearance probability of “sebum floating” is greatly reduced as compared with the case where the normal base is used. In addition, the appearance probability of “light” has decreased. On the other hand, it can be seen that the appearance probability of “powder” and “nonuniformity” is slightly increased.

  This is because a makeup base containing a film-forming agent is used, the coating of the makeup base becomes strong, sebum is firmly fixed to the powder blended in the makeup base, and the sebum is exposed on the surface. It is thought that the responses of “Sebum floating” and “Light” were reduced because the disturbance of the foundation was suppressed and the disturbance due to sebum of the foundation was suppressed at the same time. On the contrary, since the foundation remains firmly, the foundation flows to the fringe lines and the corners of the eyes as the eyes blink and changes in facial expression, making the “feel” and “unevenness” related to the appearance more noticeable. These responses appear to have increased slightly.

  When a questionnaire survey is performed using the method of the present invention to evaluate the makeup disintegration state, and when a questionnaire survey is performed using only representative evaluation terms among the related evaluation terms, such as a conventional general questionnaire And I confirmed how the evaluation is different.

  Specifically, in the case of conducting a questionnaire survey by the method of the present invention, among the generic evaluation term categories, the following evaluation terms relating to “sebum float”, “powder feeling”, “non-uniformity” are used. A questionnaire survey was conducted in the same manner as in Example 1.

(Evaluation term)
"Sebum float":
<A> The foundation is floating <E> There is no feeling of adhesion of the foundation <N> Sebum is floating <Q> The “feel of powder” is high:
<B> Foundation is stagnant <J> Foundation accumulates in pores, pores are conspicuous <O> Powdery <P> Bulky <R> Color unevenness is conspicuous “Non-uniformity”:
<C> The foundation is uneven <D> The foundation is twisted <M> The foundation is accumulated

  In addition, when a questionnaire survey was conducted using only representative evaluation terms, the generic evaluation terms “sebum float”, “feel”, and “nonuniformity” in the answer data of the evaluation test of Example 1 In the classification, the following evaluation terms were selected with the evaluation terms having the highest number of responses as representative evaluation terms. A questionnaire survey was conducted in the same manner as in Example 1 using these representative evaluation terms.

(Typical evaluation terms)
"Sebum float":
<Q> The “feel of powder”
<J> “Nonuniformity” where foundation accumulates in pores and pores are conspicuous:
<D> Foundation is good

  For the questionnaire results, the appearance probabilities for each part of “Sebum floating”, “Food feeling”, and “Non-uniformity” were calculated and mapped on the schematic diagram of the face in the same manner as in Example 1. FIG. 6 shows the result of mapping the questionnaire results obtained by the method of the present invention, and FIG. 7 shows the result of mapping the questionnaire results based only on typical evaluation terms. In FIG. 6, in order to clarify that the questionnaire result is based only on the representative evaluation terms, the classification names are described with the representative evaluation terms.

  In addition, the average value of the appearance probabilities of all areas of “sebum floating”, “texture”, and “non-uniformity” is calculated for the questionnaire result by the method of the present invention and the questionnaire result by only typical evaluation terms. The plotted results are shown in FIGS. 8 and 9, respectively. Similarly, in FIG. 8, in order to clarify that the questionnaire result is based only on the representative evaluation terms, the classification names are described with the representative evaluation terms.

  About the questionnaire result by the method of the present invention, it can be seen from FIG. 6 that the foundation having high makeup persistence has increased sebum float and non-uniformity while the sebum floating is suppressed. A similar tendency appears in the average appearance probability of each generic evaluation term classification in FIG. As described above, these results can be said to be appropriate in view of prescription characteristics.

  On the other hand, the questionnaire results using only typical evaluation terms show the same tendency as “Sebum floating” and “Food feeling” from FIG. The higher the background, the higher the probability of appearance, but when looking at "Foundation is good", the normal background has a higher appearance probability, and "The foundation is good" is its generic evaluation term classification With “non-uniformity”, it can be seen that the appearance tendency differs depending on the part, and the appearance tendency is difficult to read.

  Further, from the average appearance probability of FIG. 9, “foundation is good” means that the appearance probability is higher in the case of using a normal background than in the makeup base containing the film forming agent. This is a tendency opposite to the result of “non-uniformity” in FIG.

  According to the results of this questionnaire, among the evaluation terms included in “non-uniformity”, the number of respondents who used a base with high makeup persistence was the normal base. Was significantly higher than the number of respondents who used the product (base with high makeup sustainability: 10.0%, normal base: 4.9%). The generic evaluation term classification “non-uniformity” strongly reflects this result. Overall, “non-uniformity” is higher when using a base with high makeup sustainability, which is considered to have higher makeup sustainability. It turns out that it is the result.

  Thus, there is a possibility that the answer varies greatly depending on the slight difference in expression of the evaluation term representing the makeup collapse state. However, it is a heavy burden on respondents to ask for answers for many evaluation terms in consideration of the possibility.

  For the above reasons, it can be said that the method for evaluating the application state of cosmetics proposed by the present invention is a technique that can obtain a highly accurate questionnaire count result with a small burden.

  INDUSTRIAL APPLICABILITY The cosmetic application state evaluation method and evaluation system of the present invention are useful in designing cosmetics while grasping the morals of cosmetic users in the development of cosmetics.

Claims (7)

An evaluation method for evaluating the application state of a cosmetic by a method including the following steps (a) to (e).
(A) obtaining an evaluation term group including three or more evaluation terms of the application state of the cosmetic and a generic evaluation term classification obtained by classifying these evaluation terms by a statistical method;
(B) A format in which the respondent arbitrarily selects an evaluation term from the evaluation term group acquired in step (a) for the cosmetic to be evaluated, and gives an evaluation value to the evaluation term. Creating a survey containing,
(C) asking the respondent about the questionnaire created in step (b) and obtaining answer data;
(D) A step of calculating an evaluation score based on the answer data including the evaluation term and the evaluation value answered in the questionnaire in step (c), and totaling for each generic evaluation term classification.
(E) A step of outputting an evaluation result including the counting result obtained in step (d). The evaluation method according to claim 1, wherein the evaluation term group including the evaluation terms in step (a) and the generic evaluation term classification are acquired by the following (a1) to (a3).
(A1) Step of collecting evaluation terms of cosmetic application state and creating an evaluation term group (a2) An evaluation term selected from the evaluation term group of (a1) and an evaluation value for the evaluation term as a plurality of respondents To create a response data group that includes a pair of response data consisting of evaluation terms and evaluation values.
(A3) A step of classifying the data group of (a2) using a statistical method and defining a generic evaluation term classification.   The evaluation method according to claim 2, wherein cluster analysis is used as the statistical method of step (a3).   The evaluation method according to any one of claims 1 to 3, wherein the questionnaire in step (b) asks for an evaluation term, an evaluation value, and an evaluation part in a state corresponding to the evaluation term.   The evaluation method according to claim 4, wherein, in step (d), the evaluation score is mapped and displayed on a schematic diagram representing a portion to be coated of the cosmetic including the evaluation portion.   The evaluation method according to any one of claims 1 to 5, wherein the application state is any one selected from a finished state of a cosmetic, a makeup collapse state, and a makeup remaining state after washing. An evaluation system for evaluating a cosmetic application state, wherein the arithmetic device is provided with the following (A) database and means (B) to (E).
(A) a database that records evaluation term groups including three or more evaluation terms of the application state of cosmetics, and a generic evaluation term classification obtained by classifying these evaluation terms by a statistical method;
(B) For the cosmetics to be evaluated, an evaluation term group that asks about the application state of the cosmetic is extracted from the evaluation term group recorded in the database (A), and the evaluation terms included in the evaluation term group A questionnaire creating means for creating a questionnaire including a format in which the respondent arbitrarily selects at least one evaluation term and gives an evaluation value to the evaluation term;
(C) Questionnaire presenting means for presenting the questionnaire created by means (B) to the respondent, and answer capturing means for capturing the answer data from the respondent,
(D) Questionnaire counting means for counting evaluation values included in the answer data captured by means (C) for each generic evaluation term classification;
(E) Output means for outputting an evaluation result including the total result of the means (D).