Digital treatment: Base on the mobile interface for memory improvement of elderly

The increasing aging of the population has become one of the most important challenges of the 21st century, elder with cognitive impairments such as Alzheimer's often experience more cognitive challenges than younger adults due to loss of memory, and cognitive and visual abilities in limited activities. In the exploration of multi-visual sensory stimulation to reduce cognitive processes and memory enabling the improvement of cognitive abilities in older. Develop mobile health care applications to improve memory cognitive decline in the elderly Monitor positioning and set up interactive games to enhance the thinking and cognition of the elderly. Through online questionnaires and multifaceted research on research subjects such as the elderly and non-professional caregivers, organize and summarize the survey paper, and sort out and analyze the data to support the app design. The aim is the inclusive design of a cognitive training digital UI design for Alzheimer's disease patients and evaluates the effect of the APP by comparing the cognitive difficulties of the elder, exploring how to design a more suitable cognitive training APP for Alzheimer's patients, as a new intervention, can provide personalized cognitive training, In future work, this design will be developed and applied to elderly people with mild dementia to enhance their ability to live independently and validate the role of new digital technologies.


INTRODUCTION
Brookmeyer et al. estimated that by 2050, approximately 1.18% of the world's population will have Alzheimer's disease (AD), a chronic and progressive neurodegenerative disease primarily affecting memory and cognitive function in older individuals [1][2].While there is currently no effective cure for AD, various approaches exist to help patients delay its progression and enhance their quality of life.International studies suggest that a combination of therapies including pharmacological treatments pharmacological interventions, and caregiving tools can effectively slow down the advancement of Alzheimer's disease [3].Non-pharmacological interventions and effective care methods have been identified as potential areas for designing program interventions.W Ijsselstein et al outlined four main challenges faced by individuals with Alzheimer's disease: cognitive complexity, motivation, physical ability, and perception [4].To address these challenges and better support elderly individuals in tracking their health status, an inclusive design approach is recommended [5].Digital therapeutics (Dtx) has emerged as a promising therapy worldwide.Dtx employs evidence-based therapeutic interventions facilitated by internet-powered software tools such as mobile devices, computers, video games, and apps to prevent, manage, and treat conditions like neurological abnormalities and chronic diseases [6][7].The transformative impact of technology on aging societies is readily apparent [8], as the application of telemedicine significantly enhances the quality of life for the elderly.Therefore, our research aims to design a digital user interface (UI) specifically tailored to address the cognitive difficulties experienced by elderly individuals in terms of visual processing speed while improving their overall user experience through appropriate design metrics investigation.Utilizing digital UI as a healthcare method to enhance cognition among the elderly can significantly improve their quality of life while also facilitating easier recording of physical condition updates and medication management.As can be (see Figure 1) the functional modules of APP can be divided into four functional modules in theory, and the corresponding operations can be performed when a functional module is carried out.The APP for the elderly should not have complicated operation steps and too much hierarchical information, which will lead to complicated use of the product and is not conducive to operation and memory.

Main personalized page
This module includes which features a registration area where users can input their data.It also consists of four main functional areas cognitive games, medication reminders, location tracking, and personalized customization for seniors based on their individual needs and preferences.Additionally, users have the option to add their favorite function modules.The interface is designed to be user-friendly and easy for seniors to operate.(Shown in Figure 2)

Main function profiles
Our platform offers tailored solutions to address the unique needs and limitations of diverse target groups at different stages The homepage is divided into four modules, one of which is a cognitive game module designed specifically to improve cognitive abilities.Additionally, our design provides a reminder feature that allows users to set daily tasks and receive notifications.For those who require medication management support, our dedicated module enables recording medication information and setting reminders for usage.Furthermore, we have incorporated a real-time location module that displays location information on an interactive map.Lastly, our platform includes daily logging and reminder features to help

Medication management module
Provides medication reminders and notifications.Allows users to add medication and prescription information, including name, dosage, frequency of use, and duration of use.Enables personalized

Provides medication reminders and notifications.
Allows for adding medication and prescription information, including name, dosage, frequency of use, and duration of use.Personalized medication reminders can be set to display time, dosage, and administration methods.Offers medication records, and history tracking features to help understand medication usage patterns.Provides warnings about potential drug interactions to avoid adverse effects from combining medications.Enables adding doctor

Real-time location module
Displays the location of the elderly person's home along with estimated travel time back home.Navigation instructions with specific road information.Designed to be simple to understand and easy to use for convenient management of daily life and health by seniors Includes user-friendly interfaces that are easily recognizable along with clear instructions written in plain language and offers help desk support functions to assist in resolving issues customizable according to individual needs (see Figure 6)

METHODOLOGY 3.1 Real-time location module
First questionnaire survey of participants over 70 Second focus group interviews from Zhao and Liu (2020) showed that according to a study by Zhao and Liu, individuals in the age group of 60-69 make up 17.45% of all Internet users [9].After the quantification points of each direction were determined, the cognitive ability data of the elderly were collected by questionnaire.The habits of using cell phones and apps.The first part of the questionnaire was designed with four colors for the elderly to choose the color they could recognize.This can reflect the recognition ability of the four basic colors.In the second part of the questionnaire, multiple-choice questions were designed to allow AD patients to select the minimum criteria for clear recognition, such as image and button size design.The third part of the questionnaire was designed for font size and contrast, which will help to design the next stage of the model design guidelines.Page layout complexity was determined by having older adults select a relatively easy-to-recognize density.The main use of statistics on how older adults use computer interaction logic to facilitate their use.

Data collection
We use the Likert scale for result statistics [10].Questionnaire design having determined the quantitative points for each direction, a questionnaire survey was used to collect data on elder cognitive habits of APP browsing.The first part of the questionnaire was designed with minimum criteria on willingness to learn new applications to improve cognitive abilities for older adults to choose to be able to identify clearly.This will contribute to the next stage of design model criteria building.Whether the design in the APP can help improve cognitive ability experiment to determine page layout complexity by having elders choose a density that is relatively easy to recognize.Whether there are any difficulties or challenges in the structural design of the app.To determine how to design the interaction logic to facilitate use by elders.The final section is on whether the app interface design meets expectations and needs to identify future directions for optimization.

RESULTS
Able to easily distinguish between text and images 26 of the users answered very satisfied 37.10% of the total 18 answered very satisfied Letter 25.70% of the total.Question b -The ability to help can the features in the application be designed to help improve cognitive abilities, 47 people answered satisfied and highly satisfied 38.60% and 31.4% respectively.Question c -appropriate level of difficulty about find it challenging to use the application The number of people who answered very satisfied is 25, which is 35.70%.Thus, it seems that the ease of use of the app is certified.Finally, d-Meets need the results of whether the app interface design meets the expectations and needs of the app 23 people answered 32.90% and 25 people answered very satisfied 35.70% 55 people accounted for 68.60% of the total number but the difference with the most There is still room for the overall range is satisfied and highly satisfied.Therefore, we have obtained the result that the current application solution is helpful for cognition.(See Figure 7)

CONCLUSION
Based on data from a survey of 70 seniors over the age of 60 on their preferences for, contrast, functional density, and operational logic, this proposal provides a linear response to the question of whether to focus on the visual and logical aspects of cognition for seniors to provide cognitively enhanced evaluation criteria for seniors.By referring to this criterion, designers can help developers effectively improve the suitability of their products for users over the age of 60.About limitations first, the lack of diversity in sample collection because the sample was drawn from a web-based questionnaire means that the experimental results do not take into account older adults who do not use cell phones.Even those who do not use the internet.In addition, the small sample size of only 9 elder users over 70 years old may have affected the results of this experiment.There is still room for debate about its generalizability and reliability.From the perspective of social significance, in the context of the aging society, with the booming development of the internet, interactive products and smart products for the elderly are emerging app design and development not only help to reduce the burden of caregivers but also helps society to pay attention to the elderly group, thus providing better help and providing new solutions for the prevention and treatment of diseases in the elderly.

Figure 7 :
Figure 7: Results of the satisfaction and willingness survey