• The Journal of Information Systems
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• v.29 no.4
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• pp.1-24
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• 2020

Purpose An increase in the number of fitness apps across the world is a testament to the growing interest in health. As focus on medical services shifted from treatment to prevention, this type of app plays an essential role in promoting one's health and exercise management. Yet little has been known about practical effects of fitness apps in existing literature thus this study searches for factors that affect daily use of fitness apps and examine the relationship between app usage and exercise patterns. Design/methodology/approach This study surveyed people who used Cashwalk, the pedometer app for a minimum of a week to analyze reasons why they used the app. Particpants' exercise patterns were also recorded. By examining survey results of fitness app users and developing a research model based on the Customer Value Theory, this study provides real-life factors to the fitness and smart health care industry that will adopt a proactive lifestyle pattern. Findings Empirical analysis proved properties such as the complexity of fitness apps, monetary rewards, exercise monitoring and the enjoyment of using fitness apps contribute to using fitness apps on a daily basis. Furthermore, more daily use of fitness apps was shown to have a greater impact on exercise. This study also confirmed that social comparison does not affect the daily use of fitness apps and the amount of exercise, and the habitual walking was proved to directly affect the amount of exercise.

• Journal of Korea Game Society
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• v.15 no.6
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• pp.17-28
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• 2015

This study attempted to identify differences in user experience and app game fun, satisfaction, use intention between fitness app games at different level of interaction design. The playtesting method was conducted on 100(male 50, female 50) university students using 'Enjoy Your Fitness', a fitness app game developed by The Center for Health Communication Studies. The results found that more interactive app game is higher in the level of user experience such as fitness accomplishment, flow, and interest. Fitness app game's fun, satisfaction, use intention is also higher on interactive fitness app game. As the study verified that interactive fitness app game had stronger effects in user fitness experience and user experience than general fitness app games through experimental studies, it may contribute to design fitness mobile app game for health improvement.

• Journal of Information Technology Services
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• v.19 no.3
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• pp.117-137
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• 2020

The development of information technology leads to changes in various industries. In particular, the health care industry is more influenced so that it is focused on. With the widening of the health care market, the market of smart device based personal health care also draws attention. Since a variety of fitness applications for smartphone based exercise were introduced, more interest has been in the health care industry. But although an amount of use of mobile fitness applications increase, it fails to lead to a sustained use. It is necessary to find and understand what matters for mobile fitness application users. Therefore, this study analyze the reviews of mobile fitness application users, to draw key factors, and thereby to propose detailed strategies for promoting mobile fitness applications. We utilize text mining techniques - LDA topic modeling, term frequency analysis, and keyword extraction - to draw and analyze the issues related to mobile fitness applications. In particular, the key factors drawn by text mining techniques are explained through the concept of user experience. This study is academically meaningful in the point that the key factors of mobile fitness applications are drawn by the user experience based text mining techniques, and practically this study proposes detailed strategies for promoting mobile fitness applications in the health care area.

• Korean Institute of Interior Design Journal
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• v.15 no.5 s.58
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• pp.281-288
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• 2006

Fitness center which was first introduced through hotel fitness has been disseminated into country over the years and these days it becomes a public sports facility that is available even in a small city. Fitness center usually requires a space more than 500 pyeong and even in a small fitness facility at least 200-300 pyung is in need. Also, complex structure including a space for preparing exercise and other subsidiary facility is necessary as well as various service areas to perform various exercise programs. In case of domestic fitness centers, however, proper standard and data required to compute the scale of each service area is not available due to the short of piling data. Therefore computing each space totally depends on an instinct decision of a designer or client, which may cause the fail of effective use of space. This paper aims to calculate appropriate use of space, that is, the over all space, equipment size, and movement line of each area as well as preference and frequence of use among areas is estimated in order to apply those data when computing appropriate estimation of scale.

• Journal of Internet Computing and Services
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• v.18 no.4
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• pp.1-6
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• 2017

According to Gartner, the size of the global health care industry in 2020 is expected to reach $ 850 billion, which is 15 percent of the total IoT market. The health care market is growing a lot lately, and many people are looking for a fitness center to build a healthy body. Sometimes, they exercise the wrong way by exercising exercise in the wrong way. Even though it is recommended to use the exercise, it is problematic to know how to use it or not to use it. It is becoming a problem. This paper designed the NFC fitness center customized for the fitness center that users use to improve the previously presented problem.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2006.11a
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• pp.346-351
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• 2006

Community facilities in apartment complex was developed through combination with residents' needs about housing environmental amenity, marketing competition among construction companies and social trend 'Well-being' . But community facilities and fitness center which are situated in the beginning are alienated by residents because the designers plan community facilities without considering about residents' life-style and preference. In this paper, the study includes present status of fitness center and residents' preference for proper fitness center design. The result presents that fitness center users in apartment complex want a resting space which is already located in fitness center of mixed-use residential building. A resting space provides conditions that users can make up with the community each other as well as they can rest after exercise. And the fitness center users prefer wood as interior finish material of floor and wall in exercising space and resting space because they have a feeling comfortable and splendid.

• Korean Institute of Interior Design Journal
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• v.16 no.1 s.60
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• pp.56-64
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• 2007

Community facilities in apartment complex have been developed through residents' needs for housing environmental amenities and social trend for 'Well-being' combined with marketing competition among construction companies. But community facilities and fitness centers which are in the initial stage of development are not well fit with residents' needs because the designers plan the community facilities without considering on residents' life-style and preference. This study investigates the present status of fitness center, and surveys the residents' preference for the proposed fitness center design. The result includes that fitness center users in apartment complex want a convenient and comfortable resting spaces similar level with those in fitness center of mixed-use residential building. A resting space provides opportunity that community members meet each other as well as they can rest after exercise. The result also shows that the fitness center users prefer wood floor and wall as interior finishing materials in exercising space and resting space, which users think, gives more comfortable and splendid feeling.

• Journal of Applied Reliability
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• v.16 no.4
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• pp.323-330
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• 2016

Purpose: Recently, propensity score matching method is used in a large number of research paper, nonetheless, there is no research using fitness test of before and after propensity score matching. Therefore, comparing fitness of before and after propensity score matching by logistic regression analysis using data from 'online survey of adolescent health' is the main significance of this research. Method: Data that has similar propensity in two groups is extracted by using propensity score matching then implement logistic regression analysis on before and after matching separately. Results: To test fitness of logistic regression analysis model, we use Model summary, -2Log Likelihood and Hosmer-Lomeshow methods. As a result, it is confirmed that the data after matching is more suitable for logistic regression analysis than data before matching. Conclusion: Therefore, better result which has appropriate fitness will be shown by using propensity score matching shows better result which has better fitness.

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.3010-3012
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• 2000

In this paper. we suggest a vector fitness strategy for obstacle avoidance of autonomous mobile robot with genetic algorithm. Ordinary genetic algorithms provide not such a viable solution for autonomous running in a variant environment. because of the difficulty in fitness evaluation in real time. We show that the suggested method is efficient for the problem of autonomous mobile robot. Its control function evolves to adapt the varying environment. The experiment is done using the real mobile robot 'Khepera' with which we use a tournament genetic algorithm model with the Vectored Fitness Genetic Strategy.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.170-175
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• 1998

Transporting a large table using multiple robotic agents requires at least two group behaviors of homing and herding which are to bo coordinated in a proper sequence. Existing GP methods for multi-agent learning are not practical enough to find an optimal solution in this domain. To evolve this kind of complex cooperative behavior we use a novel method called fitness switching. This method maintains a pool of basis fitness functions each of which corresponds to a primitive group behavior. The basis functions are then progressively combined into more complex fitness functions to co-evolve more complex behavior. The performance of the presented method is compared with that of two conventional methods. Experimental results show that coevolutionary fitness switching provides an effective mechanism for evolving complex emergent behavior which may not be solved by simple genetic programming.