• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.117-124
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• 2021

This study attempted to analyze the influence of mobile shopping motivation on the attributes and selection of beauty applications among consumers in their 20s, and the results found the following: First, mobile shopping motivation was classified into the categories of playfulness, convenience, and impulsiveness while beauty application attributes were divided into contents, community, and continuous management. Second, mobile shopping motivation was found to have a significant influence on selection of mobile beauty applications. Specifically, playfulness affected professional brands and beauty shopping mall apps, while impulsiveness revealed an effect on online shopping malls and beauty community apps. In addition, convenience showed an influence on TV home shopping apps. Third, mobile shopping motivation had a statistically significant effect on beauty application attributes. Specifically, playfulness, convenience, and impulsiveness revealed a statistically significant influence on contents, while playfulness also affected beauty communities. In addition, impulsiveness affected continuous management.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.7
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• pp.493-503
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• 2018

Recently, as living standards have improved, many people are becoming more interested in health, and self-training is increasing through exercise to prevent and manage pre-illness. In general, an imbalance of muscles causes asymmetry of posture, which can cause various diseases by accompanying an adjustment force, circulation action, displacement of internal organs, etc.. In this study, the development of fitness software that can be self - training among smart wears has attracted considerable attention in recent years. In this study, a technology was proposed for the commercialization of self - trainer fitness wear by a simulation through Android - based applications. Self - trainer fitness software was developed by combining a conductive polymer, fashion design, sewing, and electric and electronic technology to monitor the unbalance of the muscles during exercise and make smart wear that can calibrate the asymmetry by oneself. In particular, a polymer sensor was fabricated by deriving the optimal MWCNT concentration, and the electrode signal was collected by attaching the electrode to the optimal position, where the electrode signal line using the conductive fiber was designed and attached to collect the signal. A signal module that converts the bio-signals collected through electrical signal conversion and transmits them using Bluetooth communication was designed and manufactured. Self-trainer fitness software that can be commercialized was developed by combining noise cancellation with Android-based self-training application using a software algorithm method.