JP2008204043A - Questionnaire investigating device and questionnaire method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a questionnaire investigating device and a questionnaire investigating method capable of obtaining a reliable questionnaire result. <P>SOLUTION: The questionnaire investigating device 1 comprises a communication section 11 that is connected to a terminal of a questionnaire answerer and communicates with the terminal via a network, an item description section 13 for transmitting a description about at least one of a plurality of objective items as a questionnaire object to the terminal of a questionnaire answerer via the communication section 11, a question transmitting section 14 for transmitting a question to the objective item whose description is transmitted to the terminal via the communication section 11, a comprehension degree investigating section 15 for receiving an answer to a question from the terminal via the communication section 11 and investigating the comprehension degree of the objective item based on the receiving result, and a questionnaire investigating section 17 for generating a questionnaire corresponding to the comprehension degree and transmitting it to the terminal via the communication section 11. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a questionnaire survey apparatus and a questionnaire method for conducting a questionnaire on a respondent terminal via a network.

  A method called conjoint analysis is often used to measure market value by conducting market consumer questionnaires. In particular, when there are many items composing a product, a method called ACA (Adaptive Conjoint Analysis) is often used. In ACA, the attributes (items) that make up the product and the level of each attribute are set in advance, and a pair of product profiles are created from some of the attributes and the levels within those attributes. The utility value of each attribute level (relative value) is calculated by repeating the question of asking the user to answer the relative preference of the two product profiles by several tens of questions.

  FIG. 14 is a flowchart showing ACA. FIG. 15 is a diagram showing attributes and levels taking an automobile as an example, and FIG. 16 is a diagram showing an example of questions in profile pair comparison.

  In the conjoint analysis, first, measurement of the degree of preference (intra-attribute level comparison question) (step S101) is measured. In the measurement of the degree of preference, a question is made as to how much the preference differs for each attribute. For example, for a certain system, the function (performance / equipment) is evaluated in five stages from not attractive (level 1) to very attractive (level 5).

  In the next importance level measurement (level difference comparison question) (step S102), it is asked how important the difference between the highest level and the lowest level of each attribute is in the previous question. For example, the condition 1 of a certain function is compared with the condition 2 of a better function, and the evaluation is made in six stages, where the difference is not important at all (level 1) and the difference is very important (level 6).

  In the next profile comparison (pair comparison question) (step S103), a combination of similar conditions is presented, and it is repeatedly asked about which one is preferred. In the example shown in FIG. 16, for example, nine stages are evaluated as to which of the automobile A with a displacement of 1800 cc and CDMD stereo and 2 million yen, and the automobile B with a displacement of 200 cc and CD stereo and 2.2 million yen is preferred.

  Thereafter, calibration is performed as appropriate (step S104), and an individual utility value is calculated (step S105).

  By the way, in the questionnaire, it is important to select a person who can expect an appropriate answer as a respondent and to improve the reliability or usefulness of the questionnaire result. Therefore, Patent Document 1 discloses a questionnaire survey method that can easily improve the reliability of the analysis result of answers.

In this patent document 1, a survey on the respondent's attributes is conducted, and then this survey is conducted. This survey includes questions for reliability determination to determine the reliability of answers. And for the respondents whose reliability is determined to be below the standard in the reliability determination question, a method of excluding the response from the subject of the survey analysis is described.
JP 2002-7665 A JP 2005-316536 A

  However, with the reliability determination question described in Patent Document 1, this survey can be performed only for people who have some knowledge of the questionnaire target, and a desired number of samples cannot be secured. There is also.

  In general, surveys using such questionnaires require tens to thousands of respondents to ensure the statistical reliability of the survey. There is a considerable range, and there are differences in the degree of understanding of each attribute among respondents. However, in an actual conjoint questionnaire, the difference in understanding is "no", and each attribute / level set at the time of questionnaire creation is basically regardless of whether the understanding is low or low. Appears in the question like each attribute (see, for example, Patent Document 2).

In that case, the following problems occur.
1. Regardless of whether the respondent understands "what the item is" or "what kind of merit", it is selected as a constituent item of the product profile, so the reliability of the analysis is reduced.
2. An item that is not understood has a high risk that the value of the item is unreasonably low or unreasonably high.
3. When a number of product profiles containing unintelligible items appear in the profile comparison section, the psychological response burden increases, and the reliability of the results also decreases for other understood items.

  As a result, the reliability of the entire survey is reduced. In products such as automobiles and electrical appliances, it takes a long time from product planning to commercialization, and in many cases it is several years before the product is put on the market. Therefore, when considering what kind of equipment to install the product, many of the equipment are unfamiliar to general consumers, and the contents and benefits are often not understood. Therefore, there is a high risk that the problems described above will occur.

  Regardless of whether or not they understand, while creating product profiles from the default attribute levels (functions and items), they ask about their preference, and respondents are asked whether the function or item is If you don't understand well, you have to answer. In that case, many respondents answered based on the presumption that “Oh, this function is probably like this,” or because they do n’t know, it ’s unconsciously responding without considering the function. Above 1. The problem will occur.

In response to such an answer, the respondent
・ Respond with thinking that the following functions are actually available.
・ Respond with the thought that it has more functions than actual.
・ Because I do not know well, I will answer consciously or unconsciously as being unrelated to me.
Therefore, the value of the item is answered more (or less) than the actual value. Also, when analyzing, since it is not known in what state the respondent is responding, there is no way to correct it. Problems occur.

  In addition, when a number of product profiles that include functions / items that cannot be understood appear in the profile comparison section, we are tired of responding after gradually comparing and reviewing, and continuously marking “None”. Because it comes to answer well, such as doing, 3. Problems occur.

  The present invention has been made to solve such a problem, and an object of the present invention is to provide a questionnaire survey apparatus and a questionnaire method capable of obtaining a highly reliable questionnaire result from a wide range of respondents.

  A questionnaire survey apparatus according to the present invention includes a communication unit that is connected to a terminal of a survey respondent and communicates with the terminal via a network, and at least one target of a plurality of target items to be surveyed on the terminal of the survey respondent A description transmission unit that transmits an explanation about an item to the terminal via the communication unit; a question transmission unit that transmits a question about the target item that has transmitted the description to the terminal via the communication unit; An answer to the question is received from the terminal via the communication unit, an understanding level survey unit that investigates an understanding level of the target item based on a reception result, a questionnaire corresponding to the understanding level is generated, and the communication unit is A questionnaire survey unit to be transmitted to the terminal via the terminal, and an answer to the questionnaire from the terminal via the communication unit. Those having a questionnaire result counting section.

  In the present invention, the target item is described via the communication unit, and a question for determining the degree of understanding of the target item is transmitted after the description. This makes it possible to confirm whether the respondent understands the target item, and to obtain a highly reliable questionnaire result.

  The comprehension survey unit includes a pass / fail determination unit that performs pass / fail determination based on the survey result of the comprehension level, and the questionnaire survey unit conducts a questionnaire only on terminals of questionnaire respondents who have passed as a result of the pass / fail determination. It is possible to have a questionnaire sending section for sending. It is possible to collect highly reliable questionnaire results by making a pass / fail judgment based on the survey results of the degree of understanding and conducting the questionnaire only for successful applicants.

  Furthermore, the questionnaire survey unit further includes an item selection unit that excludes target items whose degree of understanding investigated by the understanding level survey unit is less than a first threshold from the survey target, and the questionnaire transmission unit A questionnaire about the target item can be generated and transmitted. Even a successful applicant can obtain a more reliable questionnaire result by excluding items with a low level of understanding.

  Furthermore, the item selection unit excludes target items whose understanding level is equal to or higher than the first threshold value and lower than the second threshold value and whose appearance frequency in the understanding level survey is equal to or higher than a third threshold value from the questionnaire target. can do. Even if the degree of understanding is low to a certain degree, the number of samples can be secured by not deleting the appearance frequency.

  In addition, the item selection unit can set the first threshold value, the second threshold value, and / or the third threshold value according to the number of terminals to be surveyed. In order to secure the necessary number of samples according to the number of respondents, the threshold value can be set as appropriate.

  Further, the questionnaire survey unit has a conjoint analysis unit that performs conjoint analysis on the target item, and the questionnaire result totaling unit calculates a utility value of the target item based on the conjoint analysis result Can have. With conjoint analysis, it is possible to find out which points (customers) place importance on multiple elements of products and services, and what combination of elements is most preferred by customers. .

  In the questionnaire survey method according to the present embodiment, the explanation about at least one target item of a plurality of target items to be surveyed is connected to the terminal of the survey respondent via the network. An explanation transmission step for transmitting to the terminal via a communication unit communicating with the terminal, a question transmission step for transmitting a question about the target item that has transmitted the description to the terminal via the communication unit, and the terminal from the terminal An answer to the question is received via the communication unit, an understanding degree investigation step of investigating the degree of understanding of the target item based on the reception result, and a questionnaire corresponding to the degree of understanding is generated to generate the questionnaire via the communication unit. A questionnaire survey process to be transmitted to the terminal, and an answer to the questionnaire from the terminal via the communication unit. And a questionnaire result tabulation process.

  ADVANTAGE OF THE INVENTION According to this invention, the questionnaire survey apparatus and questionnaire survey method which can obtain a highly reliable questionnaire result can be provided.

  Hereinafter, specific embodiments to which the present invention is applied will be described in detail with reference to the drawings. As described above, when measuring product value based on a market consumer questionnaire, a technique called conjoint analysis is often used. However, the reliability of the analysis is reduced if items that the respondent does not understand the benefits are targeted for measurement. In this embodiment, first, each respondent is explained for each item to be measured, and the degree of understanding of the explanation is measured. For items with a low degree of understanding, the product is not displayed in the subsequent questions. Measure value. Further, by controlling the appearance items based on the accumulated answer data, the reliability of the analysis is ensured so as not to generate items with extremely low appearance frequency.

  That is, in the present embodiment, first, in the first part of the questionnaire for each respondent, the level of understanding of the survey target item is measured, and the items with low level of understanding are removed from the questionnaire, thereby improving the reliability of the answer. A method for improving the above will be described.

  Secondly, in addition to the degree of understanding of each item of the respondent, an item appearing in the question is selected in consideration of the appearance frequency for each item calculated from the answer of the respondent so far. A method for leveling the rate and suppressing the bias of responses will be explained.

Embodiment 1 FIG.
First, the questionnaire survey apparatus according to this embodiment will be described. FIG. 1 is a functional block diagram showing a questionnaire survey apparatus according to this embodiment. The questionnaire survey device 1 according to the present embodiment transmits a questionnaire to a terminal such as a personal computer (PC) of a user who is an answerer, and receives the questionnaire result to carry out the questionnaire.

  As shown in FIG. 1, the questionnaire survey device 1 is configured by a PC or the like, for example, and includes an information processing unit 10 and a storage unit 30. The information processing unit 10 includes a communication unit 11, an answerer screening unit 12, an item explanation unit 13, a question transmission unit 14, an understanding level survey unit 15, and a questionnaire survey unit 17. The understanding level survey unit 15 includes a pass / fail determination unit 16, and the questionnaire survey unit 17 includes an omit item selection unit 18, a conjoint analysis unit 19, and a utility value calculation unit 20. The storage unit 30 includes an understanding level accumulation database (DB), an appearance rate DB 32 for each item, a utility value DB 33 for measurement items, and an answer accumulation DB 34.

  Here, it is assumed that the respondent who communicates with the questionnaire survey device according to the present embodiment registers information such as an e-mail address by registering as a member at a predetermined site operated by the questionnaire company. In the following description, the questionnaire is conducted on the web via the Internet. However, other means such as a telephone may be used. Moreover, in this Embodiment, it demonstrates as what carries out the questionnaire regarding a vehicle.

  The communication unit 11 communicates with the respondent's communication terminal, and transmits and receives information to and from the respondent's communication terminal via the Internet, for example.

The respondent screening unit 12 selects respondents suitable for the current questionnaire from registered answerer candidates. For example, “the owner of a car (except for a light vehicle) that can be used mainly by anyone other than the current job” is targeted. in this case,
Purchases of vehicles mainly used in their 20s to 50s are within half a year to 7 years. Purchasers are expected to purchase within half a year to 5 years. Estimated price is 1.5 million yen to 5 million yen. Add conditions and select respondents.

  The item explanation unit 13 transmits an explanation about each item included in the questionnaire to the respondent terminal and displays it. Here, for example, 15 items of new technology installed in a car will be described. In this embodiment, first, an item is explained as described above, and even if an item that is completely unknown is included, it is possible to become a questionnaire respondent by understanding the item explanation.

  When the question transmitting unit 14 finishes the description of the item as described above, the question transmitting unit 14 transmits a question to the respondent terminal in order to confirm whether or not the respondent correctly understands the item described. Depending on the answer to this question, the degree of understanding of the item description can be measured.

  The understanding level survey unit 15 receives answers to questions about such an understanding level from the respondent terminal, aggregates the understanding levels of each respondent, and stores them in the understanding level accumulation DB 31. The comprehension survey unit 15 determines the comprehension level of each item in three stages, for example, △ Δ ×, and the pass / fail determination unit 16 has a predetermined percentage or more, for example 50%, of all items (here 15 items). If there is more than x, a pass / fail judgment is made such as ending the questionnaire as a failure. Here, the questionnaire survey unit 17 conducts the questionnaire only to those who have passed.

  The omit item selection unit 18 of the questionnaire survey unit 17 selects the questionnaire target item based on the result of the survey conducted by the understanding level survey unit 15. For each item, a plurality of questions are asked, and if the correct answer rate is 50% or less, for example, the item is decided to be omitted. Note that, as will be described later, it may be determined whether or not to make an omission in consideration of the appearance rate of each item. For this reason, the appearance rate of each item is stored in the appearance rate DB 32.

  The conjoint analysis unit 19 performs a normal conjoint analysis using only the remaining items that the omit item selection unit 18 has omitted. At this time, the utility value of the measurement item is obtained. The utility value calculation unit 20 calculates an individual utility value, stores it in the answer storage DB 34, and calculates an overall utility value with reference to the answer storage DB. The utility value that has been omitted may be set to 0.

  FIG. 2 shows an example of the hardware configuration of the questionnaire survey apparatus according to this embodiment. As shown in FIG. 2, the questionnaire survey apparatus 1 includes a CPU (Central Processing Unit) 101, a ROM (Read Only Memory) 102, and a RAM (Random Access Memory) 103, which are connected to each other via a bus 104. Computer. An input / output interface 105 is also connected to the bus 104.

  The input / output interface 105 includes an input unit 106 including a keyboard and a mouse, a display including a CRT and an LCD, an output unit 107 including headphones and speakers, a storage unit 108 including a hard disk, a modem, and a terminal adapter. A communication unit 109 configured by the above is connected. Question items and questionnaire items are input from the input unit 106, and a total value of values, that is, utility values of all attributes, and the like are output from the output unit 107.

  The CPU 101 executes various processes according to various programs constituting the software module stored in the ROM 102 or various programs constituting the software module loaded from the storage unit 108 to the RAM 103. For example, each process of transmitting the description of the item in the questionnaire survey concerning this Embodiment, transmitting the question with respect to an item, calculating a comprehension degree, or performing a pass / fail determination is implemented. The RAM 103 also appropriately stores data necessary for the CPU 101 to execute various processes. For example, each data of the understanding degree accumulation DB 31, the appearance rate DB 32 of each item, the utility value DB 33 of the measurement item, and the answer accumulation DB 34 is stored.

  The communication unit 109 transmits an item description to a respondent's terminal via the Internet (not shown), transmits a question, transmits a questionnaire, or receives an answer from the respondent terminal. Communication processing such as. The communication unit 109 transmits data provided from the CPU 101 and outputs data received from a communication partner to the CPU 101, the RAM 103, and the storage unit 108. The storage unit 108 exchanges with the CPU 101 to save and erase information. The communication unit 109 also performs communication processing of analog signals or digital signals with other devices.

  A drive 110 is connected to the input / output interface 105 as necessary, and a magnetic disk 111, an optical disk 112, a flexibil disk 113, a semiconductor memory 114, or the like is appropriately mounted, and a computer program read from them is loaded. It is installed in the storage unit 108 as necessary.

  Next, a questionnaire method according to the present embodiment will be described. FIG. 3 is a flowchart showing the questionnaire method according to the present embodiment. First, respondents are screened (step S1). As described above, for example, in the present embodiment, the current owner of the car, the purchase calendar of the main use car is half a year to seven years, the assumed purchase time of the time car is half a year to five years, the assumed price Selects respondents based on information such as 1.5 to 5 million yen.

  Next, a related question is transmitted (step S2). This related question does not need to be asked, but by asking a related question, the analysis of the respondent can be made more detailed. As related questions, questions such as age / gender, family composition, residential area, possessed car, time-purchased car preference, purchase emphasis point, car use situation, etc. can be transmitted.

  Next, the item explanation unit 13 transmits a function explanation (step S3). As shown in FIG. 4 and FIG. 5, function descriptions of all items such as the eco-drive support function and night view are transmitted and displayed on the respondent terminal.

  For example, FIG. 4 shows an explanation of the eco-drive support function. As shown in Fig. 4, the eco-driving support function analyzes the characteristics of your driving and advises you on how to drive to improve fuel efficiency or how effective it is. This is a function. It does not automatically operate the accelerator. " With this eco-driving support function, the driver is able to say, “Your driving has the characteristics of ○○○. If you operate the accelerator and brake with the capacity of △△△, the fuel consumption will be XXX%. Will be displayed on the respondent's terminal.

FIG. 5 shows an explanation of the night view. On the respondent's terminal screen, “Night view automatically detects distant obstacles that cannot be seen by the human eye, even outside the area illuminated by the headlamps at night, and informs the driver of the danger. Note that this function includes
a. Instrument panel display: Obstacles and pedestrians are displayed on the instrument panel (around the meter).
b. On the windshield + with overlay display: Obstacles and pedestrians are projected on the windshield and highlighted.
There are two types. b. With windshield + superimposed display: a. Compared to the instrument panel display, there is an advantage that danger can be detected without moving the line of sight during driving. Is displayed on the respondent terminal.

Here, intent questions and the like may be displayed together so that the commentary can be read more. For example, “How much do you want this feature?”
○ I want it.
○ I think there should be.
○ Not necessary.
○ It is better not to have it
Together with questions such as, “If you can wear this feature to the purchaser, how much can you pay for it?”
Enter the amount of money, such as “You can pay if it is XX million”, or you can select an option such as “I don't want to wear it even if it is 0 yen (you don't need this function if you only pay)” You may devise it so that you can read the commentary more.

  When the explanation of the function is finished, a question about each item is transmitted in order to confirm the degree of understanding. 6 and 7 are schematic diagrams showing question screens regarding the eco-driving support function and night view, respectively. The question transmission part 14 transmits the question regarding each item, and displays it on a respondent terminal.

As shown in Fig. 6, for example, regarding the eco-driving support function, "I ask about the explanation of the eco-driving support function. If each of the following questions is correct," correct "is incorrect. If you think that, please select “Incorrect”. The following options are displayed under the display such as “”.
Automatic adjustment of the amount of stepping on access to improve fuel efficiency: Analyzing the characteristics of access operations of right or wrong drivers: Telling driving routes that improve right or wrong fuel consumption: Right or wrong

As for the night view, as shown in FIG.
“I would like to ask you about the explanation of Night View. For each of the following questions, select“ Correct ”if you think it ’s correct, and select“ Incorrect ”if you think it ’s incorrect. The following options are displayed under the display such as “”.
When the risk of collision with pedestrians is high at night, it automatically brakes: pedestrians outside the range illuminated by the correct or incorrect headlamp can also be detected: correct or incorrect display on the windshield is the instrument panel Compared with the display type, the driver's viewpoint movement is less: right or wrong

  Next, the understanding level investigation unit 15 that has received the response investigates the understanding level. Then, respondents with less than a predetermined level of understanding are rejected and the questionnaire is terminated. If there is a degree of understanding above a certain level, a questionnaire is conducted. In this embodiment, it is possible to obtain a highly reliable questionnaire result by explaining and explaining all items before asking the questionnaire and asking the degree of understanding thereof.

  First, the questionnaire survey unit 17 sorts out the omit items. FIG. 8 is a diagram for explaining the success or failure of the questionnaire respondent. As shown in FIG. 8, for example, in the case of a respondent with a low understanding level of N02 and N014, the items N02 and N14 are deleted to create a questionnaire. N02 is a night view, for example, and N14 is an eco-drive support function, for example. The omit item selection unit 18 transmits a questionnaire obtained by deleting items in which these items appear from the questionnaire items to the respondent terminal. That is, a questionnaire excluding the questionnaire related to the eco-driving support function and night view is generated and transmitted. In this way, by explaining the item in advance, asking about its understanding level, determining whether or not respondents pass or fail according to the level of understanding, and deleting questionnaire items with low understanding level even if they are successful , Respondents can answer questionnaires about items they really understand.

  Next, a questionnaire for conjoint analysis in steps S8 to S12 is performed. First, a preference level measurement (intra-attribute level comparison question) is performed (step S8). The measure of preference is to ask how much the preference differs for each attribute level. FIG. 9 is a diagram showing attributes and levels. FIG. 10 is a diagram showing a preference degree measurement screen. For example, as shown in FIG. 10, the state without the night view is 5 such as “not attractive at all” (level 1), “cannot say either” (level 3), “very attractive” (level 5), etc. Ask the degree of preference at the stage. A screen as shown in FIG. 10 is displayed on the respondent terminal, and is configured to input an answer.

  Next, importance measurement (level difference comparison question) is performed (step S9). The importance level measurement is a question of how important the difference between the highest level and the lowest level of each attribute is in the previous question. FIG. 11 is a schematic diagram showing the importance measurement screen. As shown in FIG. 11, condition 1 and condition 2 are presented, and which one is important is changed from “difference is not important at all” (level 1) to “difference is very important” (level 6). Let me answer in 6 steps. For example, Condition 1 “Fuel efficiency: current level (15 km / L)”, Condition 2 “Fuel efficiency: 40% improvement from current level (21 km / L)”, Condition 1 “Engine type: 2 liters + turbo (inline 4 cylinders)” And condition 2 “engine type: 2 liters (inline 4-cylinder)”, condition 1 “automatic transmission: 6-speed AT (automatic)” and condition 2 “automatic transmission: 5-speed AT (automatic)”. Dozens of such questions are repeated.

  Next, profile comparison (paired comparison question) is performed (step S10). In the profile comparison, two similar combinations are prepared and presented, and it is repeated how much they prefer. FIG. 12 shows a profile comparison screen. For example, car A has pre-crash safety (a system that reduces the damage caused by collisions with preceding vehicles, obstacles, pedestrians, etc.): None, temporary stop, etc. Prevention system: Pre-crash safety, with air quality improvement function : Humidification function is available. Car B has pre-crash safety: front / rear support, prevention of oversight such as temporary stop: none, in-vehicle air improvement function: none . Dozens of such questions are repeated.

  Then, the obtained answer is appropriately calibrated (step S11), and the personal utility value is calculated (step S12). The obtained individual utility value is stored in the answer accumulation DB 34, and when the utility values of all the respondents are obtained, the overall utility value is calculated (step S12).

  In this embodiment, first, each item is explained, and the degree of understanding of the survey target item is measured in the first part of the questionnaire for each respondent. Respondents with a low degree of understanding are not considered as questionnaire respondents. Moreover, even if it is a case where it is a questionnaire respondent, the reliability of a reply can be improved by removing an item (attribute) with a low understanding degree from a questionnaire.

  Moreover, since the number of application items for each respondent can be suppressed depending on the degree of understanding, the number of questions is reduced and the burden on the respondent is reduced. This also improves the reliability of the survey.

Embodiment 2.
Next, a questionnaire survey apparatus according to the second embodiment of the present invention will be described. In the present embodiment, attributes that are not to be answered are selected by adjusting the appearance frequency as a whole. That is, if there are many unfamiliar attributes, there is a high possibility that the attribute will be removed. Therefore, it can be considered that the rate of measurement is extremely low. In order to prevent this, whether or not to delete is adjusted according to the appearance frequency.

  That is, although a questionnaire can be implemented with the same apparatus and steps as in the first embodiment, the questionnaire selection process in step S7 is different. FIG. 13 is a diagram showing a questionnaire selection process according to the present embodiment. As shown in the upper left of FIG. 13, the understanding level accumulation DB 31 stores understanding level determination results for each attribute. Further, as shown in the upper right, the appearance rate of each item is stored in the appearance rate DB 32 of each item.

  Here, since the understanding level determination of N01 is x, it is omitted from the measurement object. On the other hand, N14 is originally an omit target with an understanding level Δ, but since the appearance rate is as low as 23%, it is left unmeasured as a measurement target.

  That is, an item whose understanding level is less than the threshold th1 is omitted regardless of the appearance rate. Then, an item whose understanding level is the threshold value th2 to th1 is set as a measurement target without being omitted if the appearance rate is equal to or less than the threshold value TH1. Selection is performed such that all items with an understanding level of th2 or more are subject to measurement regardless of the appearance rate.

  In this way, if there are many items with little familiarity, the probability of being hit is increased and the measurement target rate may be extremely low, but it is necessary to select items by adjusting while looking at the appearance frequency A large number of samples can be secured.

  It should be noted that the present invention is not limited to the above-described embodiments, and various modifications can be made without departing from the scope of the present invention. For example, in the above-described embodiment, the hardware configuration has been described. However, the present invention is not limited to this, and any processing is realized by causing a CPU (Central Processing Unit) to execute a computer program. Is also possible. In this case, the computer program can be provided by being recorded on a recording medium, or can be provided by being transmitted via the Internet or another transmission medium.

  Moreover, in Embodiment 2, although it demonstrated as what determines whether to mit according to an appearance rate, about the item with much appearance frequency, for example, the explanation time is lengthened, or the item with a high mit rate is By increasing the explanation time, the necessary number of samples can be secured. Further, the thresholds th1, th2, and TH1 can be adaptively changed according to the number of samples in the middle of questionnaires of hundreds or thousands.

It is a functional block diagram which shows the questionnaire survey apparatus concerning Embodiment 1 of this invention. It is a figure which shows an example of the hardware constitutions of the questionnaire survey apparatus concerning Embodiment 1 of this invention. It is a flowchart which shows the questionnaire method concerning Embodiment 1 of this invention. It is a figure which shows description about the eco-drive assistance function in Embodiment 1 of this invention. It is a figure which shows description about the night view in Embodiment 1 of this invention. It is a schematic diagram which shows the question screen regarding an eco-drive support function. It is a schematic diagram which shows the question screen regarding a night view. It is a figure explaining the answer of a questionnaire respondent. It is a figure which shows an attribute and a level. It is a figure which shows the preference degree measurement screen in a conjoint analysis. It is a schematic diagram which shows the importance measurement screen in a conjoint analysis. It is a figure which shows the screen of the profile comparison in a conjoint analysis. It is a figure which shows the questionnaire selection process concerning Embodiment 2 of this invention. It is a flowchart which shows the conventional ACA. It is a figure which shows the attribute and level which took the car for the example. It is a figure which shows the example of a question in profile pair comparison.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Questionnaire investigation apparatus 10 Information processing part 11 Communication part 12 Respondent screening part 13 Item description part 14 Question transmission part 15 Understanding degree investigation part 16 Pass / fail judgment part 17 Questionnaire investigation part 18 Omit item selection part 19 Conjoint analysis part 20 Utility value Calculation unit 30 Storage unit 31 Comprehension level accumulation DB
32 Appearance rate DB of each item
33 Utility value DB of measurement item
34 Answer DB
101 CPU
102 ROM
103 RAM
104 Bus 105 Input / output interface 106 Input unit 107 Output unit 108 Storage unit 109 Communication unit 106 Input unit 107 Output unit 108 Output unit 108 Storage unit 109 Communication unit 110 Drive 111 Magnetic disk 112 Optical disk 113 Flexivir disk 114 Semiconductor memory

Claims (12)

A communication unit connected to the terminal of the survey respondent and communicating with the terminal via the network;
An explanation transmitting unit that transmits an explanation of at least one target item of a plurality of target items to be surveyed to the terminal of the survey respondent to the terminal via the communication unit;
A question transmitting unit that transmits a question to the target item that has transmitted the description to the terminal via the communication unit;
An answer to the question is received from the terminal via the communication unit, and an understanding level survey unit that investigates an understanding level of the target item based on a reception result;
A questionnaire survey unit that generates a questionnaire according to the degree of understanding and transmits the questionnaire to the terminal via the communication unit;
A questionnaire survey apparatus comprising: a questionnaire result totaling unit that receives an answer to the questionnaire from the terminal via the communication unit. The understanding level survey unit includes a pass / fail determination unit that performs a pass / fail determination based on the understanding level survey result,
The questionnaire survey device according to claim 1, wherein the questionnaire survey unit includes a questionnaire transmission unit that transmits a questionnaire only to terminals of questionnaire respondents who have passed as a result of the pass / fail determination. The questionnaire survey unit further includes an item selection unit for excluding target items whose degree of understanding investigated by the understanding level survey unit is less than a first threshold from a survey target,
The questionnaire survey device according to claim 2, wherein the questionnaire transmission unit generates and transmits a questionnaire for the remaining target items. The item selection unit excludes, from the questionnaire target items, the degree of understanding that is greater than or equal to the first threshold value and less than the second threshold value, and that the appearance frequency in the understanding level survey is greater than or equal to the third threshold value. The questionnaire survey device according to claim 3, wherein 5. The questionnaire survey according to claim 3, wherein the item selection unit sets the first threshold value, the second threshold value, and / or the third threshold value according to the number of terminals to be surveyed. apparatus. The questionnaire survey unit has a conjoint analysis unit that performs conjoint analysis on the target item,
The questionnaire survey device according to any one of claims 1 to 5, wherein the questionnaire result totaling unit includes a utility value calculation unit that calculates a utility value of a target item based on the conjoint analysis result. The terminal via the communication unit connected to the terminal of the questionnaire respondent and communicates with the terminal via the network for explanation of at least one target item of the plurality of target items to be surveyed on the terminal of the questionnaire respondent An explanation sending step to send to
A question transmission step of transmitting a question about the target item that has transmitted the description to the terminal via the communication unit;
An answer to the question is received from the terminal via the communication unit, and an understanding level investigation step of investigating the understanding level of the target item based on the reception result;
A questionnaire survey step of generating a questionnaire according to the degree of understanding and transmitting the questionnaire to the terminal via the communication unit;
A questionnaire survey method comprising: a questionnaire result counting step of receiving an answer to the questionnaire from the terminal via the communication unit. The understanding level investigation step has a pass / fail determination step of performing a pass / fail determination based on the understanding level investigation result,
The questionnaire survey method according to claim 7, wherein the questionnaire survey step includes a questionnaire transmission step of transmitting a questionnaire only to terminals of questionnaire respondents who have passed as a result of the pass / fail determination. The questionnaire survey step further includes an item selection step of excluding target items whose degree of understanding surveyed by the understanding level surveying unit is less than a first threshold from the survey target,
The questionnaire survey method according to claim 8, wherein in the questionnaire transmission step, a questionnaire about the remaining target item is generated and transmitted. In the item selection step, excluding target items whose understanding level is greater than or equal to the first threshold value and less than the second threshold value and whose appearance frequency in the understanding level survey is greater than or equal to the third threshold value from the questionnaire target. The questionnaire survey method according to claim 9, wherein the questionnaire survey method is characterized. The questionnaire survey according to claim 9 or 10, wherein, in the item selection step, the first threshold value, the second threshold value, and / or the third threshold value are set according to the number of terminals to be surveyed. Method. The questionnaire survey process includes a conjoint analysis process for performing a conjoint analysis on the target item,
The questionnaire survey method according to any one of claims 7 to 11, wherein the questionnaire result totaling step includes a utility value calculation step of calculating a utility value of the target item based on the conjoint analysis result.

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