• The Journal of Society for e-Business Studies
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• v.16 no.4
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• pp.173-195
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• 2011

The ability of offering various and abundant mobile applications has emerged as the knowledge of the smartphone has grown in the smartphone market. The mobile application market has emerged as a competitive new market with enormous potential. Although many users download paid or free mobile applications through the app markets such as the Appstore, there is no significant research regarding customer's application purchase yet. Hence, we refer to the purchase motivation of mobile applications among experienced users who have bought paid applications. We conducted the interview with 30 users and suggest four categories of applications (productivity, entertainment, information, and social networking) and also classify the purchase intentions on each category based on the ground theory. The comparison analysis of the interview provides us what factors affect the application purchase. This framework may advance effective mobile application business model development, implicate the strategy for boosting mobile application market.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.3
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• pp.411-417
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• 2018

This paper proposes and implements an on-line instruction manual system which can generate the instruction manual page for the target device at the smartphone on the spot. The instruction manual app. on smartphone scans a QR code or reads NFC tag attached in the instruction manual management module embedded in the target device, and receives instruction manual data from the instruction manual management module through the Bluetooth communications and finally shows the refined instruction manual pages on the smartphone display using a Web-based templates. For the evaluation we embedded the instruction manual management module for an industrial generator with its instruction manual data. Assuming a circumstance of blackout we show that the proposed system can reduce the repair work within two steps compared to three steps in the existing one without the proposed system.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.1
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• pp.101-108
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• 2021

This paper builds a real-time home security system based on the OneNet cloud platform to control the status of the house through a smartphone. The system consists of a local part and a cloud part. The local part has I/O devices, router and Raspberry Pi (RPi) that collects and monitors sensor data and sends the data to the cloud, and the Flask web server is implemented on a Rasberry Pi. When a user is at home, the user can access the Flask web server to obtain the data directly. The cloud part is OneNet in China Mobile, which provides remote access service. The hybrid App is designed to provide the interaction between users and the home security system in the smartphone, and the EDP and RTSP protocol is implemented to transmit data and video stream. Experimental results show that users can receive sensor data and warning text message through the smartphone and monitor, and control home status through OneNet cloud.

• The Journal of the Korea Contents Association
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• v.21 no.4
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• pp.67-76
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• 2021

Three research hypotheses expected when working with a mobile app were verified. As follows: (1) Usability varies depending on the external structure of the tree-view menu. (2) If the menu arrangement is different from the script expected by users, the usability is poor. And (3) the effects of each of these two hypotheses vary depending on the complexity of the task. To this end, a script for booking accommodations expected by undergraduate students was written, and an experiment was designed with the task completion time and error rate as dependent variables. The experiment was conducted by implementing a prototype for reservation system on a smartphone As a result, while the overall performance was unfavorable when the task was complicated, the superiority of sectional menu was prominent when the task was complicated, and positive responses were observed when the menu arrangement in a complicated task matched user expectations. By discussing these results, it was found that when designing a procedural menu on a mobile screen, we come up with measures to minimize the burden of working memory, consider what tree-views are for the task, and that in complex tasks, menus should be arranged according to the scripts expected by users.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.6
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• pp.29-43
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• 2023

Consumers should look at the ingredients of cosmetics or food for their health and purchase them after checking whether they contain allergy-causing ingredients. Therefore, this paper aimed to develop an artificial intelligence-based smartphone application for automatically recognizing the ingredients displayed on a curved container and delivering it to consumers in an easy-to-understand manner. The app needs to allow consumers to immediately comprehend the restricted ingredients by recognizing the ingredients' words in the cropped image. Two major issues should be solved during the development process: First, although there were flat containers for cosmetics or food, most were curved containers. Thus, it was necessary to recognize the ingredient table displayed on the curved containers. Second, since the ingredients' words were displayed on the curved surface, the transformed or line-changed words also needed to be recognized. The proposed new methods were enough to solve the above two problems. The application developed through various tests verified that there was no problem recognizing the ingredients' words contained in a cylindrical curved container.

• Journal of Food Hygiene and Safety
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• v.30 no.2
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• pp.132-142
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• 2015

The purpose of this study was to investigate the perception and information needs about food additives from the parents of elementary school children, and to develop a smartphone application (App) providing information about food additives, and finally to assess its educational effects. A survey was conducted in April 2013 by using a self-administered questionnaire, and total 358 responses were collected from the parents living in Seoul and Gyeonggi province. While purchasing processed foods, parents considered safety (40.5%) as the most important factor, and first checking item except production and expiration dates was origin labelling (35.4%), and chose foods with less food additives (63.1%). Parents recognized food additives as the most dangerous (42.7%), and 75.1% responded the level of danger as 'very dangerous'. However, 82.4% of parents didn't have experiences to get educations about food additives. Based on their information needs including the safety, legal standards and the foods containing food additives. a smartphone App designated as 'Catch up Food Additives' consisting of the definition, safety, food labelling guideline, management, animation about food additives was developed. When the App was exposed to the parents (n = 27), their negative perceptions on food additives were improved significantly. These results showed that providing information and education about food additives using smartphone App was very fast and effective for the promotion of risk communication on food additives with the parents.

• Journal of Korean Society of Forest Science
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• v.108 no.3
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• pp.382-391
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• 2019

This study was conducted to verify whether smartphone hiking apps, which generate social network data including location information, are useful tools for analyzing the use characteristics of a forest recreation area. For this purpose, the study identified the functions and service characteristics of smartphone hiking apps. Also, the use characteristics of the area of Daegwallyoung were analyzed, compared with the results of the field survey, and the applicability of hiking apps was reviewed. As a result, the service types of hiking apps were analyzed in terms of three categories: "information offering," "hiking record," and "information sharing." This study focused on an app that is one of the "hiking record" types with the greatest number of users. Analysis of the data from hiking apps and a field survey in the Daegwallyoung area showed that both hiking apps and the field survey can be used to identify the movement patterns, but hiking apps based on a global positioning system (GPS) are more efficient and objective tools for understanding the use patterns in a forest recreation area, as well as for extracting user-generated photos. Second, although it is advantageous to analyze the patterns objectively through the walking-speed data generated, field surveys and observation are needed as complements for understanding the types of activities in each space. The hiking apps are based on cellphone use and are specific to "hiking" use, so user bias can limit the usefulness of the data. It is significant that this research shows the applicability of hiking apps for analyzing the use patterns of forest recreation areas through the location-based social network data of app users who record their hiking information voluntarily.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.4
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• pp.143-153
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• 2017

This was a descriptive survey to determine the intention of users to use smartphone healthcare applications (SHAs) and to clarify factors that may influence such intention. The data were collected during the month of April in 2015, using a structured self-report questionnaire that was distributed to 300 participants aged 20 to 70 years; 285 complete copies were used for the final analysis. The data were analyzed using descriptive statistics, independent t-test, one-way ANOVA, Pearson correlation coefficients, and hierarchical multiple regression. First, according to the results, the average intention to use SHAs was 3.28 out of 5, which varied according to age, final education, economy level, vacation, current disease, total period of smartphone use, and etc. Second, significant correlations were shown by exercise behavior, dietary management behavior, stress management, satisfaction with smartphone use, and satisfaction with using SHAs. Third, the explanatory power of the predictive model involving all general, health-related, smartphone use-related, and SHA use-related factors was 45.5%; and the economic level, interest, status, and awareness satisfaction of patients using SHA were identified to be the main influential factors. The results indicate that SHA developers need to put efforts into improving consumers' app recognition and to develop plans in provoking consumers' interests to increase the use of SHAs.

• Journal of Korea Multimedia Society
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• v.19 no.2
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• pp.344-351
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• 2016

Recently, mobile application for english vocabulary learning is being developed actively. However, most mobile English vocabulary learning applications did not effectively connected with the technical advantages of mobile learning. Also,the study of mobile english vocabulary learning app are still insufficient. Therefore, this paper development a english vocabulary context-learning Agent that can practice context learning more reasonably using a location-based service, a character recognition technology and augmented reality technology based on smart phones. In order to evaluate the performance of the proposed agent, we have measured the precision and usability. As results of experiments, the precision of learning vocabulary is 89% and 'Match between system and the real world', 'User control and freedom', 'Recognition rather than recall', 'Aesthetic and minimalist design' appeared to be respectively 3.91, 3.80, 3.85, 4.01 in evaluation of usability. It were obtained significant results.

• Journal of Digital Convergence
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• v.10 no.5
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• pp.239-244
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• 2012

This paper proposed a tour game using LBS based on smart phone. This game is based on the historical background of Silla and spatial background of GyoengJu. A Event of tour game uses a smartphone-based LBS. Game events has occurred by comparing pre-measured GPS values and smart phone A-GPS values. This paper has looked at game planning and run screen. In addition, the future direction of the game were discussed.