• The Journal of the Convergence on Culture Technology
• /
• v.5 no.3
• /
• pp.241-249
• /
• 2019

The purpose of this study was to evaluate the effect of cervical stretching program on neck pain, fatigue and range of motion caused by overuse of smartphone. Methods: We treated stretching program to measure the pain, fatigue, and range of motion of the neck before and after cervical stretching program for experiment group (n=25), control group(n=27) nursing college students using the smartphone. The general characteristics of the subjects and the range of neck pain, fatigue, and cervical range of motion were analyzed using descriptive statistics. The results of the cervical stretching program for neck pain, fatigue, and range of motion of the neck were analyzed using independent t-test. Results: After cervical stretching program, the pain of the neck(t=2.86, p=.006), fatigue(t=5.44, p<.001). flexion(t=-2.10, p=.041), extension(t=-2.84, p=.006), right lateral flexion(t=-2.4, p=.047), left lateral flexion(t=-2.05, p=0.46) and right rotation(t=-4.48, p<.001), left rotation(t=-3.38, p=.001) range of rotation were improved. Conclusion: The results of this study suggest that a cervical stretching program can be used as an effective intervention for health problems in musculoskeletal disorders due to smartphone overuse.

• The Research Journal of the Costume Culture
• /
• v.23 no.2
• /
• pp.228-241
• /
• 2015

The purpose of this study was to verify the effect of mobile fashion shopping characteristics and perceived interactivity on perceived usefulness, and the effect of perceived usefulness on purchase attitude and purchase intention based on TAM (Technology Acceptance Model). We conducted the survey targeting smartphone users in their 20s~30s living in Seoul and metropolitan area. Among 483 data collected, we used 452 samples except 31 unreliable respondents for the analysis. To analyze the structural equation model, we did factor analysis, reliability analysis, and structural equation model analysis using SPSS 18.0 and AMOS 16.0. The results were as follows: We confirmed 5 mobile fashion shopping characteristics (enjoyment, credibility, instant connectivity, security, and personalization) and 3 perceived interactivity factors (control, responsiveness and two-way communication, and contextual offer) as results of confirmative factor analysis. Mobile fashion shopping characteristics and perceived interactivity had positive effects on perceived usefulness. Mobile fashion shopping characteristics affected perceived interactivity and also had indirect effect on perceived usefulness via perceived interactivity. In other words, mobile fashion shopping characteristics had direct and indirect effect on perceived usefulness. Perceived usefulness influenced purchase attitude and purchase attitude influenced purchase intention. Perceived usefulness had direct effect on purchase intention and the indirect effect through purchase attitude was significant.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.15 no.4
• /
• pp.303-315
• /
• 2020

The development of ICT is spreading various contents to enhance health care and management efficiency through convergence between mobile and healthcare, but it indicates consumer acceptance and imbalance of mobile healthcare, and there is a lack of empirical research on functions and acceptability required according to consumer behavior and characteristics. This study sought to understand whether users were aware of and how to address the risks associated with smartphone use, and to conduct research on the acceptability and function and price of healthcare applications. For the purpose of the study, the data prepared in depth 1:1 survey for those who participated in and attended the 'BIO 2018 in Boston' exhibition was used for the actual analysis. The collected sample data included frequency analysis, technical statistical analysis, speech only correlation, chi square test, one-way analysis, and accuracy test. As a result, the more you realize the wrong attitude, the higher the awareness of risk and willingness to take action to solve problems. Second, it is necessary to increase satisfaction with the functions of healthcare apps, as well as to utilize health care and healthcare apps. Third, focus should be placed on systems or functional implementations centered on user behavior changes. Fourth, it is necessary to develop services that can enhance visual motivation. This study is meaningful in that it identifies a variety of consumer characteristics and provides directions for development of functions, and can be used as a basis for providing efficient healthcare applications in the future.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.12 no.3
• /
• pp.1301-1314
• /
• 2018

In this paper, we present a low-cost fire detection system using a thermal camera and a smartphone. The developed system collects thermal and RGB videos from the developed camera. To detect fire, candidate fire regions are extracted from videos obtained using a thermal camera. The block mean of variation of adjacent frames is measured to analyze the dynamic characteristics of the candidate fire regions. After analyzing the dynamic characteristics of regions of interest, a fire is determined by the candidate fire regions. In order to evaluate the performance of our system, we compared with a smoke detector, a heat detector, and a flame detector. In the experiments, our fire detection system showed the excellent performance in detecting fire with an overall accuracy rate of 97.8 %.

• Journal of the Korean Society of Systems Engineering
• /
• v.17 no.2
• /
• pp.98-105
• /
• 2021

As the average life expectancy is rising, the population is aging and the number of chronic diseases is increasing. This has increased the importance of healthy life and health management, and interest in mobile health services is on the rise thanks to the development of ICT(Information and communication technologies) and the smartphone use expansion. In order to meet these interests, many mobile services related to daily health are being launched in the market. Therefore, in this study, the characteristics of users who actually use mobile health services were analyzed and a predictive model applied with machine learning modeling was developed. As a result of the study, we developed a prediction model to which the decision tree and ensemble methods were applied. And it was found that the mobile health service users' continued use can be induced by providing features that require frequent visit, suggesting achievable activity missions, and guiding the sensor connection for user's activity measurement.

• The KIPS Transactions:PartA
• /
• v.19A no.3
• /
• pp.155-160
• /
• 2012

This paper designed a smartphone application with sequence problems which users can improve their learning ability and this application is implemented as serious game which is designed for the special purposes of education with entertainment and game-like fun at anytime and anywhere during the spare time. Also to prove learning effects through sequence of number application under ubiquitous environment which is popular these days, the proposed serious game which has various types of sequence questions is implemented based on the iphone and android environments. User characteristics and learning effects which are based on game record of proposed application are analyzed according to socio-demographic characteristics.

• The Journal of Information Systems
• /
• v.28 no.1
• /
• pp.183-206
• /
• 2019

Purpose Research purpose is extraction of the factors affecting game flow and satisfaction in mobile game. Design/methodology/approach In mobile game, the factors affecting game flow were classified into three parts: mobile game platform characteristics, user cognition characteristics, and user individual characteristics through previous studies for existing online game and mobile game. In the research we extracted the factors as follows: the connectivity, usability, network speed, pleasure, service quality, relatedness, proficiency, self-fulfillment, early adopter tendency, and competitive spirit. Using the factors, we established research model and tested hypotheses empirically. This survey was conducted five months targeting from teenagers to fifties with mobile game experience. The questionnaire items were reconstructed according to the questionnaires of the present study or those newly developed by the game experts and total 56 items in the literature of Internet game, smartphone game, and mobile game based on the existing literature study respectively. Findings According to the analysis result, this study showed that ease of use, enjoyment, self - fulfillment and competitive spirit had a significant influence on user flow and also that service quality, proficiency and competitive spirit had a significant influence on user satisfaction in mobile games.

• Journal of Korea Multimedia Society
• /
• v.22 no.8
• /
• pp.960-973
• /
• 2019

The increased use of smartphones has made it easier to plan travel. Especially for people travelling in Europe, it is common to move between cities by train, and reserving passes with a mobile app offers many advantages. The Czech Republic, which is a familiar destination for Koreans, is called the "heart of Europe" and it is in central Europe, so it is inevitable to use the railway when travelling. This study has been compared with the structural characteristics of the railway reservation service operated by the Czech and Korean railways. In general, when evaluating the usability of an app, we often use a method that allows a group of users or experts to spot problems. However, this study suggests an analytical method to obtain more reliable and objective results. Also, the analysis of the structural characteristics has an advantage that the problem can be predicted at the prototype stage. This, of course, comes with time and financial benefits. The purpose of this research is to contribute to the development of applications that are more convenient to use and efficiency of development.

• Journal of Information Technology Services
• /
• v.20 no.5
• /
• pp.189-207
• /
• 2021

Voice interaction combined with artificial intelligence is poised to revolutionize human-computer interactions with the advent of virtual assistants. This paper is analyzing interactive elements of AI-based voice recognition services such as sympathy, assurance, intimacy, and trust on intention to use. The questionnaire was carried out for 284 smartphone/smart TV users in Korea. The collected data was analyzed by structural equation model analysis and bootstrapping. The key results are as follows. First, AI-based voice recognition service characteristics such as sympathy, assurance, intimacy, and trust have positive effects on interactivity with the AI-based voice recognition service. Second, the interactivity with the AI-based voice recognition service has positive effects on intention to use. Third, AI-based voice recognition service characteristics such as interactional enjoyment and intimacy have directly positive effects on intention to use. Fourth, AI-based voice recognition service characteristics such as sympathy, assurance, intimacy and trust have indirectly positive effects on intention to use the AI-based voice recognition service by mediating the effect of the interactivity with the AI-based voice recognition service. It is meaningful to investigate factors affecting the interactivity and intention to use voice recognition assistants. It has practical and academic implications.

• Journal of Digital Convergence
• /
• v.12 no.1
• /
• pp.37-50
• /
• 2014

The purpose of this research is to look upon the smartphone market from the perspective of business ecosystems and to extract the critical success factors of OS platforms. Furthermore, this research aims to verify the effect of those factors on increasing utility resulting from the rising number of users as well as on intention of use. In order to do this, OS compatibility and OS upgradability were presented as the major characteristics of OS platforms and a logical causal relationship between network effect and intention to use which shows the increase of utility according to the number of users was established which was then followed by an empirical analysis. The results of the research showed that OS compatibility and OS upgradability both had positive effects on network effect and intention to use. By presenting the characteristics of OS platforms, a subject which has lacked pervious empirical studies, and establishing a logical causal relationship for the role platform characteristics play in the formation of business ecosystem in the smartphone market, it is expected that the findings of this research will contribute greatly not only academically but also in practical applications.