WO2017026850A1

WO2017026850A1 - Ui/ux output method customized for elderly through physical and recognition ability assessment

Info

Publication number: WO2017026850A1
Application number: PCT/KR2016/008913
Authority: WO
Inventors: 박동균; 정은영; 강형욱; 유영훈; 김학기; 나현석
Original assignee: (의료)길의료재단
Priority date: 2015-08-12
Filing date: 2016-08-12
Publication date: 2017-02-16
Also published as: KR20170019815A

Abstract

The present invention provides a UI/UX output method customized for the elderly, the method outputting a UI/UX that is easily recognizable to the elderly who have insufficient physical and recognition ability, and outputting a normal UI/UX to the elderly who are normal and do not have insufficient physical and recognition ability and who have a high level of IT proficiency. To this end, physical and recognition abilities are measured, whether there is a slight recognition disability is determined and categorizing into levels is implemented, and on this basis, contents are configured and a UI/UX is output according to a pre-stored UI/UX settings.

Description

Personalized UI / UX output method through physical and cognitive assessment

The present invention, through the evaluation of physical and cognitive ability, in particular to output the UI / UX that is easy to recognize to the elderly who lack the physical and cognitive ability, otherwise to output a normal UI / UX to the normal and senior high IT skills, It is about how to output UI / UX for the elderly.

In general, the elderly means persons 55 years or older.

Not all elderly people use smart devices, but the results of this study showed that the use of information access devices is difficult or does not feel the need for information utilization as shown in FIG.

To solve this problem, carriers and hardware manufacturers are also developing UI / UX for the elderly.

However, the physical and cognitive abilities are different for each elderly person, and the content types required by these differences also vary.

The present inventors conducted a questionnaire survey on 300 individual interviews and 216 on-line interviews as elderly people 55 years or older to develop customized UI / UX suitable for physical and cognitive ability, and the results are shown in FIGS. 1B to 1F. .

As shown in FIG. 1B, the preference of the "find" icon when searching a website has been frequently requested to merge pictures and text.

As shown in FIG. 1C, there was a high necessity for an elderly web site at a rate of 55.1% among the aged 55 to 69 years old who are familiar with IT devices. Less than 70 years of age with low IT device utilization were required.

As shown in FIG. 1D, in the age group familiar with IT devices, the rate of requesting a screen including a detailed description is higher than a simple screen, but an unfamiliar elderly person prefers to collectively output comprehensive information through a graph.

As shown in FIG. 1E, preferences for large letters and large icons have been particularly preferred for older people who are not familiar with IT devices.

As a result of the above research, it was confirmed that even the elderly group of the same age group have different physical and cognitive abilities as well as the familiarity with IT devices, and therefore, the need for a customized UI / UX is high.

KR 2015-0057187

KR 2011-0103487

KR 2009-0070400

The present invention has been made to solve the above problems.

In general, it is intended to provide a familiar UI / UX even for the elderly who lack physical and cognitive ability, but to be customized according to the physical and cognitive ability of each individual.

In addition, it is designed to be accessible to a simple, quick and interesting process, so that the process of testing physical and cognitive abilities is not boring for the elderly.

In addition, by linking the data obtained here with the actual medical records, it will be useful information when the elderly visit the medical facility.

One embodiment of the present invention for solving the above problems, (a) the body and cognitive ability measurement module 220 obtains the score for the body and cognitive ability by outputting a predetermined test and receiving the result Doing; (b) when the score obtained in step (a) is less than or equal to a predetermined score, determining whether the mild cognitive impairment module 210 outputs a predetermined question and receives the answer to determine whether the mild cognitive impairment is received; (c) the level classification module 230, classifying the level according to the score obtained in the step (a) and whether it is mild or impaired determined in the step (b); And (d) the UI / UX selection module 310 selects a predetermined UI / UX according to the levels classified in the step (c), and the content composition module 320 configures and outputs the predetermined content. It provides a method for outputting the elderly customized UI / UX through physical and cognitive assessment, including the step.

In addition, the predetermined test in the step (a), it is preferable to include a visual ability measurement test, athletic performance measurement test and cognitive ability measurement test.

In addition, the visual acuity measurement test, it is preferable to include the character matching and color discrimination by size.

Also, in the step (d), the level classification module 230 classifies the visual ability level according to the size-matching result of the visual ability measurement test, and in the step (e), the UI / UX selection module ( In step 310, the font size of the UI / UX is changed according to the visual ability level, and it is preferable to sequentially change the size of the font to 16pt, 14pt, and 12pt from a high level.

In addition, in the step (c), the level classification module 230 classifies the visual ability level according to the color discrimination result of the visual ability measurement test, and in the step (d), the UI / UX selection module ( 310 may change the color while maintaining the brightness contrast of the UI / UX according to the visual ability level, and if the result of the color discrimination is red, the color is changed to orange and the green is changed to cyan.

In addition, the exercise performance measurement test, it is preferable to include a selection of numbers / letters alternately and to select a moving object.

In addition, the cognitive abilities test, it is preferable to include a search for a picture associated with the meaning of the icon and the same shape or color.

In addition, in the step (c), the level classification module 230 classifies the exercise and cognitive ability level according to the result of the exercise measurement test and the cognitive ability measurement test, and in the step (d), the UI The / UX selection module 310 may change the layout of the UI / UX by a predetermined method according to the exercise and cognitive ability level.

In addition, the layout changed by the predetermined method is a layout set according to the information among the layout settings previously stored in the database 355. In the case of the highest level, the simplified menu is output without outputting the entire menu. It is a layout that writes the names of the icons and menu names together. For the next level, it is a layout that outputs the entire menu but includes the menu icons and the names of menu names. At the lowest level, it is preferable that the layout is normal. Do.

In addition, before the step (c), the control unit 200 further includes a step of receiving a user identifier, and after the step (b), whether the mild cognitive impairment determined by the mild cognitive impairment determination module 210 is EMR / It is preferable to include the step of transmitting to the OCS server 400.

In addition, before the step (a), the control unit 200 receives a user identifier; And receiving, by the controller 200, a body and cognitive ability value corresponding to the user identifier from the EMR / OCS server 400, wherein the step (c) includes (c ') the level classification module. The score 230 is obtained by the step (a), whether the mild or cognitive impairment determined in the step (b), and the body and cognitive ability value received from the EMR / OCS server 400 It is desirable to include classifying the levels by using them as weights.

Another embodiment of the present invention for solving the above problems, a system for performing the above-described method, the input and output unit 100, the control unit 200 and the UI / UX electrically connected to the input and output unit 100 It includes an output unit 300, the control unit 200, the body and cognitive ability measurement module 220, the mild cognitive impairment determination module 210, and the level classification module 230, The UI / UX output unit 300 provides a system including the UI / UX selection module 310 and the content composition module 320.

According to the present invention, it is possible to provide a user-customized UI / UX.

In particular, the present invention can provide a general layout to those who have good physical and cognitive abilities and are as familiar with IT devices as a non-elderly group, thereby reducing discomfort. Can be easily obtained.

In addition, based on the information obtained in this process, it can be helpful for medical care.

1A to 1E are survey results for examining what kind of UI / UX is preferable to elderly people.

2 schematically shows a system for providing a method according to the invention.

3 shows a flow chart for explaining the method according to the invention.

4A-4H illustrate one embodiment of a test for identifying body and cognitive abilities in a method according to the present invention.

5 shows an embodiment of the layout of the UI / UX according to the level as a result of performing the method according to the present invention.

6A and 7A illustrate a general UI / UX, while FIGS. 6B and 7B illustrate a UI / UX customly provided by the method according to the present invention.

Hereinafter, "level" means a level set by the present inventors to provide a customized UI / UX, high level is not familiar with IT and lacks a variety of abilities, including physical and cognitive skills, need a clear and simple layout It is to be understood that the level is low and the level is normal. (See Figure 5)

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

First, referring to FIG. 2, a system for performing the method according to the invention is described.

The system for performing the method according to the present invention includes an input / output unit 100, a control unit 200, and a UI / UX output unit 300. The controller 200 may be selectively linked with the EMR / OCS server 400, and the UI / UX output unit 300 may be linked with a separate database 355.

The input / output unit 100 is a means for the user to output information such as a question and input information such as an answer. It may be a monitor, a keyboard, a mouse, a touch panel, a speaker, a printer, or a combination thereof, and may be any means capable of inputting and outputting information.

The control unit 200 includes a high cognitive impairment determination module 210, a body and cognitive ability measurement module 220, and a level classification module 230.

The UI / UX output unit 300 includes a UI / UX selection module 310 and a content composition module 320. The UI / UX output unit 300 may be linked with a separate database 355 so that an appropriate layout that can be called up corresponding to the level classified by the level classification module 230 is stored. An example is shown in FIG. 5.

The content configuration module 320 may configure content, which is content that may be included in the layout selected by the UI / UX selection module 310, and the content included in the content configuration module 320 may be stored in a separate database 355. It can also be called from outside via a separate wired or wireless communication facility.

The EMR / OCS server 400 may be any EMR / OCS server 400 according to the prior art. EMR stands for electronic medical record, OCS stands for order communication system, and is linked to a number of medical facilities not shown.

The EMR / OCS server 400 may transmit / receive information with the control unit 200. For example, when a user inputs the identifier to the controller 200, the corresponding information is transmitted to the EMR / OCS server 400 so that the user's information corresponding to the identifier stored in the server is retrieved. It may be transmitted to the control unit 200 again. In addition, the measurement results from the controller 200 may be transmitted to the EMR / OCS server 400 together with the corresponding identifier and recorded.

Next, a method according to the present invention will be described with reference to FIGS. 3 to 7.

First, the body and cognitive ability measuring module 220 outputs a predetermined test (S100) and receives the result to obtain a score for body and cognitive ability (S200).

Any method of measuring physical and cognitive abilities can be used, but the method proposed by the present inventors is divided into visual competence measurement test, exercise ability measurement test, and cognitive ability measurement test. This is because they are the factors that have the greatest influence on the recognition of UI / UX and information acquisition of the elderly.

The visual ability measurement test may include size-specific jigsaw (FIG. 4B) and color discrimination (FIG. 4C).

The score is calculated in a predetermined method according to the size-matching result, and the UI / UX selection module 310 may change the font size of the UI / UX later. In one embodiment, it is desirable to change from high level to 16pt, 14pt and 12pt sequentially.

The score is calculated in a predetermined method according to the color discrimination result, and the UI / UX selection module 310 may change the color of the UI / UX later. In this case, no change in brightness is required. For example, if the result of color discrimination is red medicine, it can be changed to orange series, and if it is green medicine, it can be changed to cyan.

The exercise measurement test may include selecting numbers / letters in sequence (FIG. 4D) and selecting moving objects (FIG. 4E).

The cognitive ability test may include finding an associated picture of an icon meaning (FIG. 4F) and finding a shape having the same shape or color (FIG. 4G).

The scores may be assigned to the results of the exercise test and the test of cognitive ability, respectively, and the scores may be summed to calculate the total score.

If the score calculated in step S200 is remarkably low, that is, if it is less than or equal to a predetermined reference score (S300), the mild cognitive impairment may be suspected, and the mild cognitive impairment determination module 210 outputs a predetermined question for determining whether or not it is. And it is determined whether the mild cognitive impairment by receiving the answer (S310).

Whether it is mild or impaired can be determined by any means.

In one embodiment, the Korean version of Montreal Cognitive Assessment (MoCA-K) may be utilized. MoCA-K is a Korean Montreal cognitive assessment tool designed to evaluate mild cognitive impairment. It is a screening test that is widely used in domestic and overseas clinical trials.It is a 16-item evaluation item that includes space-time / execution, vocabulary, memory, attention, sentence, abstract, Delayed recall and persistence are measured to distinguish mild cognitive impairment.

In another embodiment, a Cognitive Assessment System for Elderly (CoCAS) may be utilized. CoCAS is also a tool that can be used to help determine the mild cognitive impairment.It is a judgment tool composed of 55 questions in six areas to measure the ability of history, memory, attention, visual perception, language ability, and upper cognitive ability on the computer. This will be used to determine whether you have dementia.

Using the above-described methods described as an example or any other method not described, when a mild cognitive impairment is suspected, it is naturally desirable to give the highest level to provide a simplified UI / UX.

If it is determined that the mild cognitive impairment is suspicious, this fact is transmitted to the EMR / OCS server 400 (S320), the medical facilities received this fact through a more precise test whether the user is mild or impaired, further dementia There is an advantage that can determine whether or not.

Next, the level classification module 230 classifies the level according to a predetermined reference value using the score calculated in step S200 and whether the mild cognitive impairment is confirmed in step S310 (S400). Particularly, in the case of mild cognitive impairment, it is preferable to classify at the highest level as described above.

Next, the UI / UX selection module 310 selects a predetermined UI / UX according to the classified level (S500). This may use a layout previously stored in a separate database 355 as shown in FIG.

Next, the content composition module 320 finally outputs the screen by adding content to the checked layout (S600).

The UI / UX finally shown is the same as FIG. 6A to FIG. 7B.

That is, FIGS. 6A and 7A show a general UI / UX at the lowest level, and FIGS. 6B and 7B show a UI / UX at the highest level.

In another embodiment of the present invention, the EMR / OCS server 400 may be utilized.

In the first embodiment, the score or level confirmed by the method described above may be transmitted to the EMR / OCS server 400 to help future medical care.

To this end, before performing the method according to the present invention, the control unit 200 must receive a user identifier, and whether or not the mild cognitive impairment measured in step S310 and the level classified in step S400 is EMR / OCS together with the user identifier Will be sent to server 400.

In the second embodiment, the information recorded in the EMR / OCS server 400 may be loaded to increase the accuracy of the determination result according to the present invention.

Similarly, before performing the method according to the present invention, the control unit 200 must receive a user identifier, and through this, the control unit 200 determines whether or not the hardness corresponding to the user identifier from the EMR / OCS server 400 or the like. Receives a body and cognitive ability value, and the information received therein can be used as weight in level classification module 230 in classifying levels.

In the present specification, the present invention has been described with reference to the embodiments shown in the drawings so that those skilled in the art can easily understand and reproduce the present invention, which is merely exemplary, and those skilled in the art can make various modifications and equivalents from the embodiments of the present invention. It will be appreciated that embodiments are possible. Therefore, the protection scope of the present invention will be defined by the claims.

Claims

(a) the body and cognitive ability measurement module 220 obtaining a score for the body and the cognitive ability by outputting a predetermined test and receiving the result;

(b) when the score obtained in step (a) is less than or equal to a predetermined score, determining whether the mild cognitive impairment module 210 outputs a predetermined question and receives the answer to determine whether the mild cognitive impairment is received;

(c) the level classification module 230, classifying the level according to the score obtained in the step (a) and whether it is mild or impaired determined in the step (b); And

(d) the UI / UX selection module 310 selecting a predetermined UI / UX according to the level classified in the step (c), and the content composition module 320 constructing and outputting the predetermined content therein. Including,

Personalized UI / UX output method through physical and cognitive assessment.
The method of claim 1,

The predetermined test in the step (a) includes a visual capacity measurement test, athletic performance measurement test and cognitive ability measurement test,

Personalized UI / UX output method through physical and cognitive assessment.
The method of claim 2,

The visual ability measurement test, including size-specific jigsaw and color discrimination,

Personalized UI / UX output method through physical and cognitive assessment.
The method of claim 3, wherein

In the step (c), the level classification module 230 classifies the visual ability level according to the size-matching result of the visual ability measurement test,

In the step (d), the UI / UX selection module 310 to change the font size of the UI / UX according to the visual ability level, to sequentially change to 16pt, 14pt and 12pt from a high level,

Personalized UI / UX output method through physical and cognitive assessment.
The method of claim 3, wherein

In the step (c), the level classification module 230 classifies the visual ability level according to the color discrimination result of the visual ability measurement test,

In the step (d), the UI / UX selection module 310 changes the color while maintaining the brightness contrast of the UI / UX according to the visual ability level, if the result of the color discrimination is a weak red color change to orange series and green If the drug is changed to cyan

Personalized UI / UX output method through physical and cognitive assessment.
The method of claim 2,

The exercise measurement test may include selecting numbers / letters in sequence and selecting moving objects.

Personalized UI / UX output method through physical and cognitive assessment.
The method of claim 6,

The cognitive abilities test includes finding the picture associated with the meaning of the icon and finding the same shape or color.

Personalized UI / UX output method through physical and cognitive assessment.
The method of claim 7, wherein

In the step (c), the level classification module 230 classifies the level of exercise and cognitive ability according to the results of the cognitive ability measurement test and during the exercise performance measurement test,

In the step (d), the UI / UX selection module 310 changes the layout of the UI / UX by a predetermined method according to the exercise and cognitive ability level,

Personalized UI / UX output method through physical and cognitive assessment.
The method of claim 8,

The layout changed by the predetermined method is a layout previously stored in the database 355,

In the case of the highest level, it is a layout in which a simplified menu is output without displaying the entire menu but the menu icon and the text name are written together.

The next level is a layout that prints out the entire menu but includes the menu icon and the name of the menu name.

For the lowest level, the normal layout has not changed

Personalized UI / UX output method through physical and cognitive assessment.
The method according to any one of claims 1 to 9,

Before step (a) above,

The control unit 200 further includes the step of receiving a user identifier,

After step (b),

And whether the mild cognitive impairment determination module 210 determines whether the mild cognitive impairment is transmitted to the EMR / OCS server 400.

Personalized UI / UX output method through physical and cognitive assessment.
The method according to any one of claims 1 to 9,

Before step (a) above,

Receiving, by the control unit 200, a user identifier; And

The control unit 200 further includes receiving a body and cognitive ability values corresponding to the user identifier from the EMR / OCS server 400,

In step (c),

(c ') the level classification module 230, the score obtained in the step (a), whether it is determined whether the mild or impaired when the step (b) proceeds, and from the EMR / OCS server 400 Classifying the levels by using the received body and cognitive ability values as weights,

Personalized UI / UX output method through physical and cognitive assessment.
A system for performing a method for outputting a customized UI / UX for the elderly by evaluating physical and cognitive abilities according to any one of claims 1 to 9,

An input / output unit 100, a control unit 200 electrically connected to the input / output unit 100, and a UI / UX output unit 300,

The control unit 200,

The body and cognitive ability measurement module 220, the mild cognitive impairment determination module 210, and the level classification module 230,

The UI / UX output unit 300,

Including the UI / UX selection module 310 and the content composition module 320,

system.