JP2013242631A - Operation familiarization support device, method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To enhance operation precision of a position input device while utilizing a content.SOLUTION: A click difficulty level calculation unit 12 calculates a click difficulty level of a clickable area included in a content, a content alteration processing unit 14 enlarges the clickable area in accordance with the click difficulty level and a user operation familiarization level of a position input device 5, and a familiarization level calculation unit 13 calculates and updates the user operation familiarization level on the basis of an operation result of the position input device 5.

Description

  The present invention relates to a technique that supports operation learning of a pointing device.

  With the development of information communication technology, ICT (Information and Communication Technology) equipment has come to be used in various everyday situations. The population of elderly people using ICT devices is increasing due to the effects of the aging society along with the expansion of the market.

  However, elderly beginners often find it difficult to operate ICT equipment. For example, the operation of pointing devices (such as mice attached to ICT devices) that require fine operations for elderly people who have decreased visual acuity due to aging, or have weakened finger sensation and muscle strength, compared with those of young users It is difficult.

  Therefore, according to Patent Document 1, a mouse pointer on the screen and a magnifying glass for enlarging the periphery of the mouse pointer are arranged in front of the PC screen, and the moving speed of the pointer is further controlled to support the operation of the pointing device. Is disclosed.

JP 2005-293508 A

  However, the technique described above only simplifies the operation of the pointing device, and in a situation where the operation support is enjoyed by utilizing such a system, it is not expected to promote the mastering of fine operations.

  For this reason, when such a support environment is not prepared, such as when operating an ICT device outside the office, the user is given difficulty and burden for the pointing operation. In order to avoid such a problem, it is very important for the user to improve the skill level of the operation so that the pointing device can be appropriately operated without the support environment.

  To master the operation of the pointing device, it is necessary to practice repeatedly over time. However, although beginners with a low level of operation proficiency are motivated by the attractiveness of content services and begin using ICT devices, they tend to refrain from basic practice such as operation methods. However, it was difficult to master the operation because it was abandoned. This problem was particularly noticeable for the elderly because the burden of learning fine manipulation was higher than for the young.

  The present invention has been made in view of the above, and an object of the present invention is to improve the operation accuracy of the position input device while using the content.

  The operation proficiency support device according to claim 1 is a data storage unit that stores an operation proficiency level of a position input device; and the operation proficiency level is read from the data storage unit, and the clickable area included in the content is Content modification processing means that expands according to operation proficiency, and proficiency calculation means that calculates the operation proficiency based on the operation result of the position input device and updates the operation proficiency of the data storage means. It is characterized by having.

  The operation proficiency support device according to claim 2 further includes a click difficulty level calculation unit that calculates a click difficulty level of the clickable area in the operation proficiency support device according to claim 1, wherein the content modification processing unit includes: The clickable area included in the content is further enlarged according to the click difficulty level.

  The operation proficiency support device according to claim 3 is the operation proficiency support device according to claim 2, wherein the click difficulty level calculation means calculates the click difficulty level based on at least the size or shape of the clickable area, The proficiency level calculating means calculates the operation proficiency level based on at least one of an operation time, an operation count, and an operation success count of the position input device.

  5. The operation proficiency support method according to claim 4, wherein in the operation proficiency support method performed by a computer, the operation proficiency level of the position input device is stored in a data storage means, and the operation proficiency level is read from the data storage means. Expanding the clickable area included in the content according to the operation proficiency level, calculating the operation proficiency level based on the operation result of the position input device, and updating the operation proficiency level of the data storage unit And a step of performing.

  An operation learning support program according to claim 5 causes a computer to function as the operation learning support device according to any one of claims 1 to 3.

  As described above, according to the present invention, the clickable area included in the content is expanded according to the operation skill level of the position input device and the click difficulty level of the clickable area, and the above operation is performed based on the operation result of the position input device. Since the proficiency level is calculated and updated, the operation accuracy of the position input device can be improved while using the content.

  According to the present invention, it is possible to improve the operation accuracy of the position input device while using the content.

It is a figure which shows the functional block structure of an operation learning assistance apparatus. It is a figure which shows the processing flow of the operation learning assistance apparatus which concerns on 1st Embodiment. It is a figure which shows the calculation processing flow of the click difficulty which concerns on 1st Embodiment. It is a figure which shows the example of a clickable area | region basic information table. It is a figure which shows the example of a difficulty determination criterion table | surface. It is a figure which shows the example of a user proficiency degree list. It is a figure which shows the example of a content expansion rate reference table. It is a figure which shows the calculation processing flow of the operation skill level which concerns on 1st Embodiment. It is a figure which shows the processing flow of the operation learning assistance apparatus which concerns on 2nd Embodiment. It is a figure which shows the calculation processing flow of the click difficulty level which concerns on 2nd Embodiment. It is a figure which shows the example of the information table after a clickable area | region modification. It is a figure which shows the enlarged example of the clickable area | region which concerns on 2nd Embodiment. It is a figure which shows the calculation processing flow of the operation skill level which concerns on 2nd Embodiment. It is a figure which shows the example of an operation proficiency degree increase table. It is a figure which shows the example of an operation proficiency reduction table. It is a figure which shows the processing flow of the operation learning assistance apparatus which concerns on 3rd Embodiment. It is a figure which shows the calculation processing flow of the click difficulty level which concerns on 3rd Embodiment. It is a figure which shows the example of a difficulty determination criterion table | surface. It is a figure which shows the example of a clickable area | region information table. It is a figure which shows the calculation processing flow of the expansion rate of the clickable area | region which concerns on 3rd Embodiment. It is a figure which shows the example of a clickable area | region modification reference | standard table | surface. It is a figure which shows the example of the information table before a clickable area expansion process. It is a figure which shows the example of an expansion operation. It is a figure which shows the example of the information table after a clickable area expansion process. It is a figure which shows the enlarged example of the clickable area | region which concerns on 3rd Embodiment. It is a figure which shows the enlarged example of the clickable area | region which concerns on 3rd Embodiment. It is a figure which shows the calculation processing flow of the operation skill level which concerns on 3rd Embodiment. It is a figure which shows the example of the change information table of the operation proficiency according to a click position.

  An object of the present invention is to improve the operation accuracy of a pointing device by using a content even if the user is not familiar with the pointing device.

  Therefore, in each embodiment described below, the difficulty of clicking on the clickable area included in the content is changed according to the difficulty of clicking on the clickable area included in the content and the progress of the user's operation learning regarding the pointing device. Thus, a means for modifying the content display and its operation method are provided.

  Hereinafter, an embodiment for carrying out the present invention will be described with reference to the drawings. However, the present invention can be implemented in many different modes and should not be construed as being limited to the description of the present embodiment.

[First Embodiment]
FIG. 1 is a diagram showing a functional block configuration of an operation learning support device 1 according to the present embodiment. The operation learning support device 1 operates on a computer 100 including a position input device (pointing device) 5 such as a mouse and an output device 7 such as a display. The computer 100 includes an OS (Operating System), and the content acquisition unit 3 is realized by a web browser or the like that operates on the OS.

  The operation learning support apparatus 1 extracts the clickable area included in the acquired content and the user individual information management unit 11 that manages the user of the apparatus 1 and easily clicks the clickable area based on the information of the area. Click difficulty level calculation unit 12 for calculating the degree of operation and the operation result of the position input device 5 (user-specific information such as operation log and service usage time) is calculated as a user's operation proficiency, A proficiency level calculation unit 13 for updating the content, a content modification processing unit 14 that modifies the clickable area in the acquired content and the entire content including the content according to the calculated click difficulty level and operation proficiency level, It is mainly composed of.

  The operation proficiency support device 1 is a memory that stores various data (the above-mentioned click difficulty level, operation proficiency level, various correspondence tables described later, etc.) held by the function units 11 to 14, respectively. A data storage means (not shown) is provided, and the various data are used by reading out from the data storage unit in a timely manner.

  Next, the operation of the operation learning support device 1 according to the present embodiment will be described with reference to FIG. In this operation example, when the user receives the content, the enlargement ratio of the entire content is changed based on the click difficulty level of the content and the operation proficiency level of the position input device 5 for the user, and is displayed on the output device 7. This is an example.

  First, the user who uses the operation learning support device 1 is identified by the user individual information management unit 11 (step S100). For example, the use user is specified by the login operation to the apparatus 1 by the user.

  Next, after the content acquired by the content acquisition unit 3 is received by the click difficulty level calculation unit 12, the click difficulty level of the acquired content is calculated (step S101). Hereinafter, the calculation method of the click difficulty will be described in detail with reference to FIG.

  First, the average area of the clickable area included in the content is calculated (step S101a). For example, a clickable area having a size of “80 × 80 (= 6400)” is acquired from the content, and the area is stored in the clickable area basic information table of FIG. Then, after the areas of all the clickable areas are acquired, the average value is calculated.

  The clickable area basic information table of FIG. 4 indicates that two clickable areas A and B exist in the content. A and B are information uniquely representing each clickable area. Here, [px ^ 2] (px is a pixel and px ^ 2 is a square pixel) is an area unit. Other units may be used. For example, resolution information may be used to set the distance in real space as a unit such as [mm ^ 2].

  Moreover, as a method for acquiring the area of the clickable region, for example, in the case of an image, a method of obtaining the area from the number of pixels in the vertical and horizontal directions of the image can be mentioned. If it is text or a button, get the coordinates on the screen where the source code is rendered, display the on-mouse status for each coordinate, check if any coordinates are clickable, and click There is a method of acquiring a later transition destination and confirming the transition destination, accumulating clickable areas having the same and adjacent transition destinations after clicking, and obtaining the area of each clickable area. Not only these methods but other methods may be used.

  An exception process may be provided when determining the average area of the clickable region. For example, exception processing may be provided in which a clickable region having an extremely large area, such as a region having an area of 10000000 [px ^ 2] or more, is regarded as an outlier. By providing such an exception process, for example, in a content in which an advertisement banner is inserted as a huge clickable area, if the clickable area of the content body portion is small in all, in step S101b to be described later When deriving the average click difficulty level of the content to be explained, it is possible to avoid a situation where the click difficulty level of the content is calculated to be low even though the area of the area where the user generally clicks is small. .

  In addition to using the area (size), the degree of click difficulty may be calculated based on the shape of the clickable area or the like.

  Next, based on the difficulty level determination criterion table of FIG. 5, the click difficulty level of the content is calculated from the average area calculated in step S101a (step S101b). For example, if the average area of the clickable area is 15000 [px ^ 2], the click difficulty level of this content is “normal”.

  As a method for calculating the click difficulty level of content, any method can be used as long as it focuses on the characteristic that the clickable region is difficult to click as the area of the clickable region is small. Alternatively, other parameters may be used together.

  For example, after acquiring an access log separately from the outside and extracting a clickable area with high click frequency, the content difficulty level may be obtained from the average area using only the extracted clickable area. For example, when the ratio of the short side to the long side is equal to or greater than a certain value, the difficulty level may be weighted.

  Other conditions may also be used. For example, the difficulty level determination may be performed based on the condition of “difficult” if there are a certain number of clickable areas having a certain area or less. The calculated click difficulty level is not limited to the three levels of “difficult”, “common”, and “easy”, but may be provided with an arbitrary number of floors, or may be expressed by other numerical values.

  Next, returning to FIG. 2, the content modification processing unit 14 obtains the operation proficiency level corresponding to the user identified in step S100 from the user proficiency level list in FIG. 6, and the user's operation proficiency level and step S101 are obtained. Based on the content enlargement rate criterion table of FIG. 7, the enlargement rate for displaying the obtained content is determined based on the click difficulty level of the obtained content calculated in step 1, and the content enlarged at the enlargement rate is output. The data is output to the device 7 (step S102). At this time, as the acquired content is enlarged, the clickable area is also enlarged accordingly.

  For example, when the difficulty level of content click is “difficult” and the user's operation proficiency level is “1”, the enlargement rate is 200% from the content enlargement rate reference table of FIG. The content expanded to 200% is displayed on the output device 7.

  In addition to using the content enlargement rate reference table, the enlargement rate may be calculated algorithmically from the click difficulty level of the content and the user's operation proficiency level. Alternatively, the enlargement ratio may be determined by another method using the click difficulty level and the operation proficiency level. At this time, a method having a characteristic that the enlargement ratio increases as the click difficulty level increases and the enlargement ratio decreases as the operation proficiency level increases.

  For example, when the click difficulty P1 is a discrete value of 1 to 10 and the operation proficiency P2 is represented by 1 to 5 discrete values, the enlargement ratio P [%] using positive weighting constants α and β. May be calculated by equation (1).

P = (α × P1) × (β × P2) (1)
At this time, the weighting constants α and β take into account the difference that the click difficulty level P1 is 10 levels and the operation proficiency level P2 is 5 levels. 100%). In addition, if importance is attached to the click difficulty P1 in the calculation of the enlargement ratio P, weighting can be performed by increasing the constant α and decreasing the constant β. The enlargement ratio P may be determined using other algorithms or mathematical expressions.

  Finally, the proficiency level calculation unit 13 calculates the operation proficiency level based on the operation result of the position input device 5 by the user, and updates the value of the operation proficiency level in the user proficiency level list shown in FIG. S103). Hereinafter, the method for calculating the operation proficiency will be described in detail with reference to FIG.

  First, the total usage time of the operation learning support device 1 is measured and recorded (step S103a). The total usage time is, for example, the total time that the user has used the operation learning support device 1 (that is, the total including the usage time of the position input device 5).

  Next, when the content output to the output device 7 is operated by the position input device 5, the user's operation proficiency level is calculated and updated based on a predetermined criterion (step S103b).

  For example, by using the equation (2) in which the operation proficiency level P2 increases as the use time T of the user's operation proficiency support device 1 increases, the operation proficiency level increases with time. The calculated user operation proficiency level is updated at the time of content modification in step S102.

P2 = log (1 + T) (2)
In addition to the method described here, the criteria for determining the operation proficiency such as the number of operations and the number of successful operations may be arbitrarily determined. For example, the operation proficiency level may be increased when the user displays the enlarged content by himself / herself, or the operation proficiency level may be increased when the user clicks a clickable area having a certain area or less. Further, the user's operation proficiency level may be any number other than 10 levels.

[Second Embodiment]
Next, a second embodiment will be described. The functional block configuration of the operation learning support device 1 according to the present embodiment is the same as that of the first embodiment shown in FIG.

  Next, the operation of the operation learning support device 1 according to the present embodiment will be described with reference to FIG. In this operation example, when a user receives content, each clickable region is determined based on the click difficulty level of each clickable region included in the content and the user's skill level of the position input device 5. This is an example of changing and displaying on the output device 7. Compared with the first embodiment, there is an effect that a display area area that can be visually recognized is widened, and a clickable area having a small area can be adaptively enlarged to reduce the click difficulty level on average.

  First, the user who uses the operation learning support device 1 is identified by the user individual information management unit 11 (step S200).

  Next, after receiving the content acquired by the content acquisition unit 3, the click difficulty level calculation unit 12 calculates the click difficulty level of each clickable area included in the acquired content (step S201). Hereinafter, the calculation method of the click difficulty level will be described in detail with reference to FIG.

  First, the area of each clickable area included in the content is calculated (step S201a). For example, a clickable area having a size of “80 × 80 (= 6400)” is acquired from the content, and the area is stored in the clickable area basic information table (see FIG. 4). A method similar to the method described in the first embodiment may be used as the area acquisition method of the clickable region.

  Next, based on the difficulty level determination criterion table (see FIG. 5), the click difficulty level of each clickable region is calculated from the area calculated in step S201a (step S201b). If the left column of the difficulty determination criterion table of FIG. 5 is “area of clickable area”, the click difficulty is “difficult” for the clickable area A of FIG.

  Note that the click difficulty level is not limited to three levels, and the number of floors may be set arbitrarily. As described in the first embodiment, the click difficulty calculation method is a method that focuses on the characteristic that the clickable region is difficult to click as the area of the clickable region is small. Any method may be used.

  For example, the difficulty level determination may be performed with other conditions such as “difficult” for a long clickable area such as 50 [px] and 2500 [px] in the vertical direction. For example, the short side and the long side may be determined. If the ratio is above a certain level, the degree of difficulty may be weighted.

  Further, an algorithm for selectively using a plurality of difficulty level determination criteria by conditional branching may be created and used, or a difficulty level criterion from a plurality of viewpoints may be provided to calculate the click difficulty level. For example, the degree of click difficulty may be calculated based on the size of the area and whether there are other clickable areas in the vicinity, and may be used for subsequent processing.

  Next, returning to FIG. 9, the content modification processing unit 14 obtains the operation proficiency level corresponding to the user identified in step S200 from the user proficiency level list (see FIG. 6). Using the click difficulty level of each clickable area calculated in step S201, the content enlargement ratio criterion table (see FIG. 7) is used to determine the enlargement ratio when each clickable area is displayed. Each clickable area enlarged by the enlargement ratio is output to the output device 7 (step S202).

  For example, the enlargement rate of the clickable area A whose click difficulty level is “difficult” is 200% when the user's proficiency level is “1”. The content modification processing unit 14 calculates the enlargement ratio for all clickable areas and stores it as in the clickable area modified information table of FIG. Then, based on this table, modified content in which the clickable area of the acquired content is enlarged is generated and displayed on the output device 7.

  For example, as shown in FIG. 12, if the clickable area is an image, the size of the image is enlarged. If the area is a hyperlink, the font size of the hyperlink is enlarged. If the area is a radio button, the area of the radio button is enlarged. Such processing is realized by modification processing of the content itself such as a source file or modification processing of the viewer (browser) itself.

  The method for enlarging the content may be determined by another method using the click difficulty level and the operation proficiency level. At this time, a method having a characteristic that the enlargement ratio increases as the click difficulty level increases and the enlargement ratio decreases as the operation proficiency level increases. In addition, when there are a plurality of criteria for determining the click difficulty level, modification processing may be sequentially applied to the content according to each criterion.

  Finally, the proficiency level calculation unit 13 calculates the operation proficiency level based on the operation result of the position input device 5 by the user, and updates the value of the operation proficiency level in the user proficiency level list (see FIG. 6) (step S203). Hereinafter, the calculation method of the operation proficiency level will be described in detail with reference to FIG.

  First, the input operation of the position input device 5 by the user is recorded, and when the clickable area of the content output to the output device 7 is clicked, the operation proficiency is raised based on a predetermined criterion (step S203a).

  For example, when the operation proficiency level increase table as shown in FIG. 14 is held as a reference, when a user with an operation proficiency level “1” clicks on a clickable area with a click difficulty level “hard”, the operation proficiency level is set. 5 is added. This addition reference and addition amount may be arbitrarily determined. However, it is not clear whether the user clicked with the intention of clicking on the clickable area.

  Therefore, next, a canceling action for determining that the user has clicked by mistake is stored in advance, and it is determined whether or not the user has performed a canceling action (step S203b).

  For example, when a series of operations such as “click on the clickable area and click the browser return button within 2 seconds” is input, it is determined that the cancel action has been performed.

  Next, when it is determined that the user has performed a cancel action, the operation proficiency level is decreased (step S203c). For example, when the user performs an action to cancel the operation within the pre-stored cancellation waiting time, it is determined that the user has clicked by mistake, and the operation learning is performed based on the operation learning level reduction table in FIG. Decrease the degree.

  The method of determining the amount of decrease in operation proficiency and the reduction criterion shown in the proficiency level reduction table of FIG. 15 is based on the idea that more detailed operations are possible when the operation proficiency level increases. Any method that increases in degree and decreases as it fails can be used. Moreover, the definition content of cancellation action may use arbitrary methods which cancel the operation | movement which the user performed previously.

[Third Embodiment]
Subsequently, a third embodiment will be described. The functional block configuration of the operation learning support device 1 according to the present embodiment is the same as that of the first embodiment shown in FIG.

  Next, the operation of the operation learning support device 1 according to the present embodiment will be described with reference to FIG. In this operation example, as in the second embodiment, the enlargement ratio of each clickable area included in the acquired content is calculated. However, the design of the content itself is not changed, and the area around the original clickable area is calculated. In this example, only the clickable area is enlarged and displayed on the output device 7. Compared with the second embodiment, only the clickable area can be enlarged without destroying the original layout of the content.

  First, the user who uses the operation learning support device 1 is identified by the user individual information management unit 11 (step S300).

  Next, after the content acquired by the content acquisition unit 3 is received by the click difficulty level calculation unit 12, the click difficulty level of each clickable area included in the acquired content is calculated (step S301).

  That is, as shown in FIG. 17, as in the second embodiment, first, the area of each clickable area included in the content is calculated (step S301a), and then the difficulty determination criterion of FIG. Based on the table, the click difficulty level of each clickable area is calculated from the area (step S301b).

  However, in this embodiment, in addition to acquiring the weight of each clickable area according to the click difficulty level, the position coordinates of each clickable area are also acquired and stored as in the clickable area information table of FIG. .

  Next, returning to FIG. 16, the content modification processing unit 14 acquires the operation proficiency level corresponding to the user identified in step S300 from the user proficiency level list (see FIG. 6). Using the click difficulty level of each clickable area calculated in step S301, an enlargement ratio for displaying each clickable area is determined, and each clickable area enlarged by the enlargement ratio is output to the output device 7. (Step S302).

  Hereinafter, the calculation method of the enlargement ratio of the clickable area will be described in detail with reference to FIG. Here, an example of a method for enlarging the clickable area will be described. The algorithm for expanding the clickable area is not limited to this.

  First, using the clickable area modification criterion table of FIG. 21, the maximum enlargement ratio of each clickable area is calculated from the click difficulty level of each clickable area and the user's operation proficiency level (step S302a).

  For example, in the case of a user whose operation proficiency level is “1”, it is determined that the clickable area whose click difficulty level is “difficult” is expanded up to 200% both vertically and horizontally. The coordinates and vertical and horizontal lengths of each clickable area when it can be enlarged according to the maximum enlargement ratio of the clickable area modification reference table in FIG. 21 are stored in the information table before clickable area enlargement processing in FIG.

  Next, each clickable area is expanded only in the x-axis direction in accordance with the recording result in the information table before clickable area expansion processing (step S302b).

  Next, it is confirmed whether or not there is a clickable region that collides (superimposes) with another clickable region in the enlarged region (step S302c). Here, it is assumed that the two clickable areas C and D collide when enlarged according to the maximum enlargement ratio, as shown in the enlargement operation examples (1) and (2) of FIG.

  Next, if there is a collision, compare the click difficulty levels of the clickable areas that have collided with each other, and based on the difficulty levels of the two, what is the distance between the two clickable areas before enlargement? Is adjusted to determine the enlargement ratio in the x-axis direction (step S302d).

  For example, the distance between the two in the x-axis direction is allocated based on the ratio of weighted values as in the difficulty determination criterion table shown in FIG. At this time, a predetermined distance M may be set in advance so that the two clickable areas C and D do not contact each other.

  For example, in the example of the enlargement operation of FIG. 23, when two clickable areas C and D having a distance of L + M are enlarged in the x-axis direction according to the maximum enlargement ratio, a collision occurs as shown in FIG. Here, it is assumed that M is an interval distance determined in advance by the content modification processing unit 14. Since the click difficulty levels of the clickable areas C and D are “difficult” and “easy”, respectively, the clickable area C is clicked only by 3L / 4 based on the weighting value of the difficulty determination criterion table shown in FIG. The possible area D is enlarged by L / 4 only.

  Note that the weighting values shown in FIG. 18 are arbitrarily determined. Further, when the interval between the two clickable areas that collided is less than M, the enlargement process is not performed.

  Next, the enlargement ratio in the y-axis direction is determined by the same method as steps S302b to S302d (steps S302e to S302g). At this time, the enlargement process may be performed only when there is a predetermined distance M or more between the colliding areas.

  The clickable area information after enlargement calculated based on the above is stored in a clickable area enlargement post-processing information table as shown in FIG. 24, for example.

  Finally, based on the recording result of the information table after the clickable area enlargement process, as shown in FIG. 25, the content in which only the clickable area is expanded is displayed on the output device 7 (step S302h). At this time, as shown in FIG. 26, when the mouse is moved over, a process such that the enlarged clickable area is colored is displayed so that the enlarged area can be easily identified.

  Finally, the proficiency level calculation unit 13 calculates the operation proficiency level based on the operation result of the position input device 5 by the user, and updates the value of the operation proficiency level in the user proficiency level list (see FIG. 6) (step S303). Hereinafter, the calculation method of the operation proficiency level will be described in detail with reference to FIG.

  First, the input operation of the position input device 5 by the user is recorded, and when the clickable area of the content output to the output device 7 is clicked, the coordinates are recorded (step S303a).

  Then, it is determined whether or not the click coordinate is a clickable area that has been enlarged by modification of the content in the clickable area or a clickable area that has been originally clickable, and based on the determination result, for example, The user's proficiency level is updated using the reference table represented by the operation proficiency level change information table corresponding to the click position in FIG. 28 (step S303b).

  For example, in the lower diagram of FIG. 25, it is determined whether the practice frame is clicked or the practice frame and the dotted line frame are clicked. For example, the click difficulty is “difficult”, and the click before enlargement is possible. If the area is clicked, 2 is added to the operation proficiency level.

  At this time, when the click difficulty level is “easy” and the user clicks outside the clickable area after enlargement, a negative value may be given to the amount of change so as to decrease the operation proficiency level. Further, the relationship between the click coordinate position and the operation proficiency level change amount may be further increased. For example, it may be based on the distance from the center of the clickable area, or the operation proficiency level increase determination such as increasing the operation proficiency level when there are a large number of clickable areas in adjacent areas. Another element may be introduced in

  As described above, according to each embodiment, the clickable area included in the content is expanded according to the operation proficiency level of the position input device 5 and the click difficulty level of the clickable area, and the operation result of the position input device 5 is displayed. Since the operation proficiency level is calculated and updated based on the above, even the user who is not proficient in the operation of the position input device 5 can improve the operation accuracy of the position input device 5 while using the content.

  In particular, when a user who is not familiar with the operation of the position input device 5 performs an operation, the clickable area of the content is enlarged, and the enlargement amount of the clickable area is gradually decreased as the user's operation proficiency progresses. Since the operation accuracy is required, it is possible to provide stepwise operation learning of the position input device 5 according to the operation proficiency level while using the service. Thus, the user can improve the operation accuracy of the position input device 5 while using the content without feeling the burden of practicing while being aware of the operation of the position input device 5.

DESCRIPTION OF SYMBOLS 1 ... Operation learning support apparatus 3 ... Content acquisition part 5 ... Position input device (pointing device)
7 ... Output device (display)
DESCRIPTION OF SYMBOLS 11 ... User individual information management part 12 ... Click difficulty calculation part 13 ... Proficiency calculation part 14 ... Content modification processing part 100 ... Computer (data storage means, calculation / control means)
S100-S103, S101a-S101b, S103a-S103b, S200-S203, S201a-S201b, S203a-S203c, S300-S303, S301a-S301b, S302a-S302h, S303a-S303b ... Step

Claims (5)

Data storage means for storing the operation skill level of the position input device;
Content modification processing means for reading the operation proficiency level from the data storage means and expanding the clickable area included in the content according to the operation proficiency level;
Calculating the operation proficiency based on the operation result of the position input device, and updating the operation proficiency of the data storage means;
An operation learning support apparatus characterized by comprising: A click difficulty calculating means for calculating a click difficulty of the clickable area;
The content modification processing means includes
The operation learning support device according to claim 1, wherein the clickable area included in the content is further expanded according to the click difficulty level. The click difficulty level calculation means calculates the click difficulty level based on at least the size or shape of the clickable area,
The proficiency level calculating means is:
The operation proficiency support apparatus according to claim 2, wherein the operation proficiency level is calculated based on at least one of an operation time, an operation count, and an operation success count of the position input device. In an operation learning support method performed by a computer,
Storing the operation proficiency of the position input device in the data storage means;
Reading the operation proficiency level from the data storage means, and expanding the clickable area included in the content according to the operation proficiency level;
Calculating the operation proficiency based on the operation result of the position input device, and updating the operation proficiency of the data storage means;
An operation proficiency support method characterized by comprising:   An operation learning support program for causing a computer to function as the operation learning support device according to claim 1.

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