• The Journal of the Korea Contents Association
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• v.20 no.7
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• pp.316-330
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• 2020

The study analyzes reviews of hardware products, customer service products, and products that take the form of a convergence of hardware and cloud services in ICT using text mining. We derive keywords of each review and find the differentiation of words that are used to derive topics. A cluster analysis is performed to categorize reviews into their respective clusters. Through this study, we observed which keywords are most often used for each product type and found topics that express the characteristics of products and services using topic modeling. We derived keywords such as "professional" and "technician" which are topics that suggest the excellence of the service provider in the review of service products. Further, we identified adjectives with positive connotations such as "favorite", "fine", "fun", "nice", "smart", "unlimited", and "useful" from Amazon Eco review, an integrated product and service. Using the cluster analysis, the entire review was clustered into three groups, and three product type reviews exclusively resulted in belonging to each different cluster. The study analyzed the differences whereby consumer needs are expressed differently in reviews depending on the type of product and suggested that it is necessary to differentiate product planning and marketing promotion according to the product type in practice.

• The Research Journal of the Costume Culture
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• v.23 no.6
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• pp.1097-1115
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• 2015

ICT in the IOT era is the core basis of modern society. This study investigated and analyzed the recent commercialization trends of smart fashion products internationally and domestically, to utilize them as the basis of data for developing user-friendly smart fashion products that can meet the needs of consumers. Keyword research using the most representative search engines, Google and Naver was conducted for searching for various wearable items commercialized actively since 2010. The final 78 products were classified by the physical area, and the key features and benefits were analyzed. Smart fashion products were classified as four physical types for the head and face, torso, arms and hands, and ankles and feet. Smart fashion products for each body part were developed in various ways, such as hats, glasses, lenses, virtual screens, earphones, headsets, clothing, watches, wrist bands, gloves, rings, wallets, bags, anklets, shoes, socks, and insoles. The main features were music playback, bluetooth, a camera based on NFC, virtual effects, health and safety protection through measuring heartbeat and momentum, and social network sharing of all kinds of information, based on inter-working with a smartphone. These functions represent the physical, social, and emotional interactions among users and their surroundings, as well as the users, themselves. The research results are expected to be used in future studies on planning user-friendly and marketable products through in-depth analysis of the design characteristics of smart fashion products as well as consumer responses.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.305-307
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• 2021

In this paper, we propose a study related to the development of a Digital-Twin platform using a smart factory based CPPS (Cyber Pysical Production System) using ICT (Information Communication Technology) technology. The platform developed through this study performs a 3D model simulation function in conjunction with P3R (Product, Process, Plant, Resource) including BOP (Bill of Process) management function from the preceding manufacturing process planning stage. In addition, we propose a digital twin platform that can predict production processes, equipment, layout, and production. The platform proposed through this paper proposes a feature that can manage the entire smart factory manufacturing process from the initial planning design stage to the manufacturing, production, operation, and maintenance stages.

• The Research Journal of the Costume Culture
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• v.26 no.2
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• pp.157-171
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• 2018

As the next generation of smartphone and tablet computers, wearable devices are currently being developed and available in market in various forms. Smart clothing is a wearable device that holds the greatest potential for future development but low in market penetration. This study was designed to identify factors that influence adoption and diffusion of smart clothing. In-depth interviews with potential consumers who were knowledgeable about and interested in smart clothing were conducted. A semantic network analysis method was used. The results showed that consumers perceived smart clothing as a garment rather than as a type of wearable device and had a positive perception of smart apparel as more convenient and advanced than functional apparel. At the same time, however, consumers had a negative perception of smart clothing as unnecessary, ugly, and injurious to health. Consumers also worried that wearing smart apparel over long periods of time would negatively impact their health. Factors affecting resistance to smart apparel included low utility, perceived risk, and lack of aesthetic completeness. Usefulness and convenience were factors that affected the acceptance of smart clothing. The innovativeness of the product was more influential than consumer innovativeness in the process of adoption and diffusion of smart clothing.

• Journal of Digital Convergence
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• v.13 no.3
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• pp.185-191
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• 2015

We are fusing to the profiling techniques in education and making to a smart teaching plan production systems. Therefore, we investigated based on technical elements necessary for the proper look for profiling techniques, trends in the technology and product trends. We proposed that is smart teaching plan production system such as the smart teaching plan production and editing technique, the management technique for the smart teaching plan, and works for relation skill to smart teaching plan production systems. If you using the techniques that we were proposed to build effective smart teaching plan production system, management system for contents control, virtual classroom then they can management their's class and class teaching plan production, file management to teaching group easy. and those students can easy understand in their class too easy.

• International journal of advanced smart convergence
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• v.10 no.3
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• pp.26-32
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• 2021

The purpose of this study is to identify the impact of online golf product consumers' face on symbolic consumption trends, product satisfaction and new product purchase intention. To this end, a survey was conducted on 300 customers who have purchased golf products online at golf practice centers located in Seoul, Gyeonggi Province and Chungcheongnam-do Province. Data processing was performed using SPSS 23 and AMOS 18 to analyze verifiable factors, reliability, correlation, and structural equations. We obtained the following results. First, face has been shown to have a significant impact on symbolic consumption propensity. Second, symbolic consumption tendencies have a significant impact on product satisfaction and intention to purchase new products. Third, product satisfaction has been shown to have a negative impact on the intention of purchasing new products.

• Proceedings of the Korean Society for Quality Management Conference
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• 2010.04a
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• pp.161-167
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• 2010

Recently, the number of input method by Smart-Phone increasing in handheld digital product released. According to the development of telecommunication speed of middle carrier, demand for the multimedia contents is high so, it demands that the display of smart-phone shall be large. It is expected that the market share of smart-phone will be constantly getting bigger. For the robust changes, related study is not done too much for smart-phone. As the market of smart-phone, it is expected that the necessity of relevant study is salient issue.

• Journal of information and communication convergence engineering
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• v.18 no.1
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• pp.61-68
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• 2020

In the era of the fourth industrial revolution, many production plants are gradually evolving into smart factories that apply information and communication technology to manufacturing, distribution, production, and quality management. The conversion from conventional factories to smart factories has resulted in the automation of production sites using the internet and the internet of things (IoT) technology. Thus, labor-intensive production can easily collect necessary information. However, implementing a smart factory required a significant amount of time, effort, and money. In particular, labor-intensive production industries are not automated, and productivity is determined by human skill. A representative industry of such industries is sewing the industry. In the sewing industry, wherein productivity is determined by the operator's skills. This study suggests that production performance, inventory management and product delivery of the sewing industries can be managed efficiently with existing production method by using smart buttons incorporating IoT functions, without using automated machinery.

• Journal of Information Technology Services
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• v.11 no.4
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• pp.1-23
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• 2012

The growing interest in smartphones has increased the number of studies conducted on technology acceptance and user satisfaction. It is now over two years since the launching of smartphones, but there are not many researches on the usage behavior of today's smartphone users. Smart devices have evolved from smartphone to smart pad and smart TV, but there are still not many studies on variables such as knowledge about the parent product and the ability to use it. With this, I decided to study how the motivation and the ability of using smartphones affected the smartphone user's intention to use smartpads. This study presents the usage behavior of smartphone users and proves that the ability to use a parent product (smartphone) affects the user's intention to use an extension product (smartpad). The research results showed that the smartphone usage ability affected both variety of use and rate of use. The convenience and passing time factors affected variety of use; and the social interaction, entertainment and passing time factors affected rate of use. As for the intention to use smartpads, the smartphone usage ability and variety of use positively affected the smartphone user's intention to use smartpads. This study showed that the more the user used a smartphone to pass time and for convenience, the more effectively the user could use various functions. It proves that the variety of use of smartphone is highly related to the acceptance of smartpads. This study also proves that usage ability is an important factor in using innovative products, such as smart devices.

• Journal of the Ergonomics Society of Korea
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• v.32 no.6
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• pp.557-563
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• 2013

Objective: This study introduces user experience measurement and its application for senior friendly products. Background: Measuring user experience for senior friendly product is very important for its design, but the measurement is not easy. Method: This study was focused on case studies for user experience measurement and its application for senior friendly product. Mobile patient lift and four wheeled walker that assist the old's mobility were studied. User experience was measured through interview and observation method. Result: From measuring the user experience, some usability issues were identified for the products. A method to apply QFD(quality function deployment) in design process was proposed. A design prototype was also developed considering user experience. Conclusion: User experience measurement for senior friendly products is key process for user centered design. Application: The method and result of this study can be applied to user experience measurement and design of senior friendly product.