• Journal of Digital Convergence
• /
• v.16 no.10
• /
• pp.59-67
• /
• 2018

There are not that many m-health related services limited to the elderly. Many of the elderly who are at risk of dementia are unfamiliar to smart devices, so it is required to design an user-customized App. Therefore, I design and embody a mobile voice alert integrated app, which enables voice input to increase the accessibility of the elderly, so as to prevent diseases caused by declined cognitive function such as dementia. I conducted interviews and questionnaire after having the students use the app in Lifelong Education Center in H region of Gyeongbuk, and the analysis result has showed the high satisfaction. It is expected that it will be able to play a key role for M-Health service for the elderly since it is possible to prevent dementia through the voice health care alert app. I would like to learn deep learning in the future to predict the life patterns and the possibility of dementia of the elderly.

• Journal of Digital Convergence
• /
• v.16 no.10
• /
• pp.453-463
• /
• 2018

This study investigated the effects of an Augmented Reality(AR) implemented book on flow of reading, interest in history, and acquisition of history knowledge. Perceptions of AR infused books were investigated as well. Researchers provided a history book implementing AR and the same book without any AR content respectively to an experiment group(n=15) and a control group(n=15) composed of $3^{rd}$ and $4^{th}$ grade elementary school children. Results indicate that AR implemented reading had a positive effect on the flow of reading and interest in history, but not on acquisition of history knowledge. Also, AR-based contents were attractive to learners due to its amusing characters, sound, realistic visual motions, and vivid three-dimensional effects. Lastly, students preferred amusing interesting characters, lengthier animations and subtitles, and AR that could be seen without holding smart devices for a long while.

• Journal of Digital Convergence
• /
• v.16 no.10
• /
• pp.213-222
• /
• 2018

This study was conducted to derive the traffic accident risk index through the recognition of the elderly driver's driving pattern to reduce the traffic accident rate of elderly drivers and to reflect them in the renewal and return policy of driver's license accordingly. First, the traffic accident risk index is defined by analyzing the behavioral characteristics of older drivers to derive the major factors that lead to traffic accidents. Second, we present a method to measure the traffic accident risk index from the driving pattern of the elderly through the smart-phone, the camera and the distance sensor attached to the car. Finally, we derive three thresholds by computer simulation and determine the accident risk from the measured traffic accident risk index as four steps and suggest ways to ensure safe driving of older drivers. It is required to objectively assess the driving ability of an aged driver in accordance with the proposed method, and to induce the driver to reset the driver's license renewal cycle and voluntarily return the driver's license to minimize social costs due to increased traffic accidents.

• Journal of Digital Convergence
• /
• v.18 no.3
• /
• pp.1-12
• /
• 2020

The purpose of this study is to explore the trend of blockchain technology through analysis of patents and news articles using text mining, and to suggest the blockchain policy agenda by grasping social interests. For this purpose, 327 blockchain-related patent abstracts in Korea and 5,941 full-text online news articles were collected and preprocessed. 12 patent topics and 19 news topics were extracted with latent dirichlet allocation topic modeling. Analysis of patents showed that topics related to authentication and transaction accounted were largely predominant. Analysis of news articles showed that social interests are mainly concerned with cryptocurrency. Policy agendas were then derived for blockchain development. This study demonstrates the efficient and objective use of an automated technique for the analysis of large text documents. Additionally, specific policy agendas are proposed in this study which can inform future policy-making processes.

• Journal of Digital Convergence
• /
• v.18 no.3
• /
• pp.317-323
• /
• 2020

This research is based on product development that improves user experience such as design and function by analyzing the usage behavior of elements experienced by generation Z as customers and users in the process leading to disposal of earphones even before purchase. The behavior of earphones in Generation Z was analyzed through in-depth interview and surveys of the customer experience and user experience of earphones. The results of the study were common or characteristic. They are user experience based on brand dependency, sharing experiences and seeking simplified design and convenience, which is related with the lifestyle of the generation Z. This study is expected to be a fundamental study of product research and marketing strategies that will take advantage of the characteristics of Generation Z, who will be the main player of the market in the future.

• Journal of Digital Convergence
• /
• v.18 no.8
• /
• pp.401-406
• /
• 2020

This study is an analysis of the user experience of online hobby class platform, focusing on the art field, which reduces space-time constraints and lowers accessibility. To this end, I investigated cases of online hobby class platforms and conducted surveys to measure user experience for university students and office workers in their 20s and 30s in Korea. As a result, we found the gap between the elements satisfying the user experience and the current domestic service, and suggested a way to narrow it down. This study is meaningful in that it proposed ways to further promote online hobby class platforms in the future leisure culture market. It is hoped that this study will be used as data on the user experience of future online hobby platforms and further help discuss practical activation measures.

• Journal of Digital Convergence
• /
• v.18 no.8
• /
• pp.371-376
• /
• 2020

This study is about convenience store lunchbox labels for efficient information transmission. Its purpose is to identify the importance of the information that buyers want and to establish labels that can help buyers when purchasing lunchbox. The literature research and survey identified the factors that buyers consider important when purchasing lunchbox, analyzed the information identified on the label and the order of importance of the information. The study found that label information that lunchbox buyers think is important was in order of price, expiration date, calories, lunchbox components, and date of manufacture. Also, buyers who do not check labels pointed the less readable labels. This study expects that the information that buyers think is important will be newly established on labels so that buyers can easily check and purchase information through labels.

• Journal of Digital Convergence
• /
• v.18 no.8
• /
• pp.419-425
• /
• 2020

This study proposes functional services within the cooking recipe sharing application. Many single-person households often eat alone, and eating out. their usual eating habits are not considered well. when living alone, the risk of exposure to mental illnesses increases compared than multi-person households, and if nutrition has unbalanced, it can be easily exposed to diseases. in this study, define these problems and emphasize the importance of maintaining physical and mental health of one-person households, and explored user experience and expectations through cano models, focusing on the Baekjubu fooe recipe is often used by 20-30s. and users can feel the cooking process is not a hassle. and they will have a cooking themselves and even manage their mental health through communication with neighbors.

• Journal of Digital Convergence
• /
• v.18 no.8
• /
• pp.231-242
• /
• 2020

The thesis presents a system that continuously collects the human body's physiological vital information at rest with sensors and ICT information technology and predicts diabetes using the collected information. it shows the artificial neural network machine learning method and essential basic variable values. The study method analyzed the correlation between heart rate measurements of BCG and ECG sensors in 20 DM- and 15 DM+ subjects. Artificial Neural Network (ANN) machine learning program was used to predictability of diabetes. The input variables are time domain information of HRV, heart rate, heart rate variability, respiration rate, stroke volume, minimum blood pressure, highest blood pressure, age, and sex. ANN machine learning prediction accuracy is 99.53%. Thesis needs continuous research such as diabetic prediction model by BMI information, predicting cardiac dysfunction, and sleep disorder analysis model using ANN machine learning.

• Journal of Digital Convergence
• /
• v.18 no.8
• /
• pp.37-48
• /
• 2020

This study aimed at understanding trends of living lab studies and deriving implications for directions of the studies by utilizing text mining. The study included network analysis and topic modelling based on keywords and abstracts from total 166 thesis published between 2011 and November 2019. Centrality analysis showed that living lab studies had been conducted focusing on keywords like innovation, society, technology, development, user and so on. From the topic modelling, 5 topics such as "regional innovation and user support", "social policy program of government", "smart city platform building", "technology innovation model of company" and "participation in system transformation" were extracted. Since the foundation of KNoLL in 2017, the diversification of living lab study subjects has been made. Quantitative analysis using text mining provides useful results for development of living lab studies.