• Informatization Policy
• /
• v.31 no.3
• /
• pp.72-87
• /
• 2024

The recent COVID-19 pandemic has witnessed the rapid growth of the fitness app market, with weight management apps occupying a substantial market segment. In connection, a growing body of research has been conducted to examine design elements aimed at fostering user motivation and long-term engagement, without considering user characteristics, which are critical to understanding user responses to weight-loss apps. Therefore, to fill this research gap, this research focuses on the weight stigma of users and strives to examine what affects such user characteristics have on the weight-loss apps. The main findings of this study is that higher help-seeking intention and willingness to use weight management apps among those who show high weight stigma consciousness than those with low consciousness. This study further shows the interaction effects between weight stigma consciousness AI types of service. This research provides new insights on how to design elements of weight-loss apps targeting both non-stigmatized and stigmatized users. It shows that in designing public applications, feeling-based AI that considers the psychological needs of users may be more effective for individuals with weight stigma.

• Journal of Korean Academy of Nursing
• /
• v.54 no.2
• /
• pp.250-265
• /
• 2024

Purpose: This study aimed to develop an app-based self-management program based on the transtheoretical model (TTM) for breast cancer survivors' exercise practice, as well as to investigate the program's effects on the stage of change for exercise, exercise self-efficacy, exercise decisional balance, exercise amount, and body composition. Methods: This non-randomized controlled study included 52 participants (26 in each of the experimental and control groups, respectively). An app-based self-management program based on the TTM was conducted with the experimental group for a 12-week period. The program comprised three components: individual coaching for each stage of change for exercise based on TTM, amount of exercise and body composition monitoring, and online self-help meetings. Results: Compared with the control group, the experimental group had significantly higher stages of change for exercise (p < .001), exercise self-efficacy (p < .001), exercise decisional balance (p = .002), exercise amount (p < .001), and body composition (body weight [p = .006], body mass index [p = .005], and body fat percentage [p = .010]) immediately and four weeks after the intervention. Conclusion: An app-based self-management program based on the TTM improves exercise behaviors in breast cancer survivors and provides physical benefits.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.19 no.1
• /
• pp.275-282
• /
• 2024

This paper proposes an app-based feeder that performs functions such as distributing food and measuring exercise amount and a wearable collar that measures activity level to manage pet obesity in modern society where the obesity rate of pets is increasing. The wearable collar measures the pet's activity level and suggests the appropriate amount of food based on the average daily activity level. We studied an app-based pet feeding system that can provide the appropriate amount of feed per day through an app to enable obesity management even in unexpected situations.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.10a
• /
• pp.229-232
• /
• 2022

Recently, production of offshore fisheries in Korea has been decreasing. Since production of offshore fisheries in 2016 fell below 1 million tons for the first time in 44 years, it has not recovered and has been decreasing. In order to cope with such a decrease in fishery resources, the TAC (total allowable catch) system is implemented internationally for fisheries resource management. Since 1999, South Korea has introduced the TAC system to perform resource management. In this paper, we propose an artificial intelligence-based fish classification and weight estimation system that can be used to investigate fishery resources of land observers essential for the implementation of the TAC system. The system consists of an app and a cloud server that automatically measures the body size and height of fish and takes photos using a terminal equipped with a lidar sensor. In the cloud server, fish classification is performed using a CNN-based efficientnet model and the weight of fish is predicted using automatically measured body length and body height information. Using this system, it is possible to improve the existing method in which the land observer manually writes after measuring the tape measure and weight in the stomach market.

• Korean Journal of Community Nutrition
• /
• v.18 no.6
• /
• pp.588-598
• /
• 2013

This study was conducted to assess needs of educational mobile application (App) development for nutritional management and information on pregnant women. A total of 105 pregnant women were investigated on general characteristics, dietary habits, health behavior and needs for contents and composition of the application. The mean age of the subjects was 31.9 years and the mean gestation period was 25.4 weeks. The rate of skipping meal was 39.0% and the rate of irregular meal time was 46.6%. The consciousness of the meal as balanced nutrition and health was 19.9%. Eating out at least forth a week was 35.3%. Obtaining information about pregnancy and childbirth were internet (35.3%), hospital or health center (19.9%), books (17.1%), experience (15.2%), mobile (8.6%) and friends or acquaintances (4.8%). If the application is developed, subject replied 'frequently use' (51.4%), 'when needed' (47.6%) respectively. The favour topic in developing application were 'nutrition information of pregnant and fetal' (36.2%), 'weight management, feeding' (33.3%), 'food choice and cooking' (21.9%), 'shopping' (5.7%), 'example of menu' (1.9%), 'effect of smoking, drinking, exercising' (1.0%). The favorite content was 'include sufficient amount about information' (44.8%). Depending on the age and education level, the best age for pregnancy group have significantly higher ability for utilize and information gathering than old age pregnant group. Also the best age for pregnancy group have high demands of design, convenience and various contents in App development. Therefore, mobile application (App) for pregnant women could be widely used as an effective dietary guide.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2013.10a
• /
• pp.169-172
• /
• 2013

In this paper, we develop an application service of user authentication system using context awareness technology. The proposed security printer system service is applying 'NFC(Near Field Communication) technology', 'authentication system using communication with server, according to context awareness to application system. Our system extracts several context-awareness elements that happen through the user's printing with server communication. The proposed system property elements contain as print time, number of printing and name of document, etc. based on working memory operation as DB. This proposed system provide with context-awareness weight algorithm and analyzes the service which decides success or failure of user's printing. The develop app service is formed and applied when approved user who gets request. Approved user according to these context awareness tech will be provided with final service after authenticating again for the certain NFC card to reader. This results cab be contributed an authentication service based on context awareness weight algorithm and improved performance of management service in secure service applications.

• Journal of agricultural medicine and community health
• /
• v.47 no.3
• /
• pp.166-180
• /
• 2022

Objective: This study evaluated the effects of a non-face-to-face obesity management program, implemented during the pandemic. Methods: The non-face-to-face obesity management program used the Intervention mapping protocol (IMP). The program was put into effect over the course of eight weeks, from September 14 to November 13, 2020 in 48 overweight and obese adults, who applied to participate through the Daegu Citizen Health Support Center. Results: IMP was first a needs assessment was conducted; second, goal setting for behavior change was established; third, evidence-based selection of arbitration method and performance strategy was performed; fourth, program design and validation; fifth, the program was run; and sixth, the results were evaluated. The average weight after participation in the program was reduced by 1.2kg, average WC decreased by 3cm, and average BMI decreased by 0.8kg/m² (p<0.05). The results of the health behavior survey showed a positive improvement in lifestyle factors, including average daily intake calories, fruit intake, and time spent in walking exercise before and after participation in the program. A statistically significant difference was seen (p<0.05). The satisfaction level for program process evaluation was high, at 4.57±0.63 point. Conclusion: The non-face-to-face obesity management program was useful for obesity management for adults in communities, as it enables individual counseling by experts and active participation through self-body measurement and recording without restriction by time and place. However, the program had some restrictions on participation that may relate to the age of the subject, such as skill and comfort in using a mobile app.