• Journal of the Korea Society of Computer and Information
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• v.26 no.11
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• pp.247-254
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• 2021

In this paper, we propose antecedent factors that influence the Information Literacy Competency of female farmers using smart devices. The study was analyzed using the materials from the "Primary Survey of Information Literacy Competency Measurement Index for Female Farmers" by the Rural Development Administration. The target of the survey was 200 women working on the farms. The descriptive, correlation, and multiple regression analyses, t-test, and ANOVA using SPSS 21.0 program were performed. Study results found that among the psychological factors, Self-efficacy and Innovativeness have positive effects on Information Literacy Competency. Among the Sociodemographic factors, the education level, presence of smartpads, and tiem spent on smartphones have positive effects on Information Literacy Competency. Findings of the results contributed to the understanding of the Information Literacy Competency for female farmers, who have lack of infromarion on smrt devices, and suggested the direction of enhancing the level of Information Literacy Competency for female farmers.

• Journal of the Korean Dietetic Association
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• v.27 no.3
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• pp.179-190
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• 2021

The high caffeine intake by adolescents has been a concern. The purpose of this study was to examine the awareness and consumption of caffeine-containing foods among 443 high school students using a questionnaire. An analysis of the spending patterns of the students' weekly allowance showed that the amounts spent on purchasing caffeine-containing foods were higher for female students than male students (P <0.001). The scoring of the perception of caffeine was 3.1 out of 5, interest in the caffeine content of food was 2.6, consumption of caffeine-containing foods was 2.6, and usefulness of caffeine-containing foods was 2.7. The awareness of caffeine content in food was significantly higher in females (7.3 out of 11) than male students (6.7) (P<0.01). Approximately 59% of students perceived that the relationship between caffeine-containing foods and health, was harmful, and the experience of side effects after taking caffeine was significantly higher in female students than males. These side effects include heartburn (P<0.001), headache or dizziness (P<0.001), irregular heartbeat (P<0.05), and hands and feet shake (P<0.01). Caffeine-containing foods were purchased at convenience stores (62.1%). The factor considered when purchasing caffeine-containing foods was taste (72.2%), and the use of nutrition labeling for caffeine-containing foods scored 2.0 out of 5 points. When assessing the intake of caffeine-containing foods, the foods consumed more than once a week were in the order of coke, chocolate, chocolate milk, chocolate pie, and chocolate bars. These results suggest that it is necessary to prepare a caffeine-related nutrition guide improvement by sales management, and strengthen food labeling standards for the desirable recognition of caffeine and its safe intake by adolescents.

• The Journal of the Korea Contents Association
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• v.19 no.8
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• pp.490-499
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• 2019

Face recognition payment service is an innovative payment method based on face recognition technology and is emerging in China now. Various industries regarding unmanned sales are likely to utilize this face recognition payment service in the future. This study investigated the factors influencing the usage intention of Chinese consumers who have experience using face recognition service. We used questionnaire survey and analysis with SPSS and AMOS. According to the results of the study, conclusions are as followed. First, consumers' attitudes toward the characteristic of face recognition payment service, which are non-contact and non-coercion, positively affected perceived usefulness. Second, the rapidness of the facial recognition payment among the recognition, the security and the rapidness of this service affected the ease of use. Third, social influences such as subjective norms also influence the intention to use. Fourth, the increase of the level of self-expression awareness and the intention of using face recognition payment service are confirmed. Through these results, the implications for design and communication of related innovative services were discussed.

• Journal of the HCI Society of Korea
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• v.14 no.1
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• pp.35-43
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• 2019

This study examines how interactivity and usage mode of a chatbot interface affects user experience. Chatbot has rapidly been commercialized in accordance with improvements in artificial intelligence and natural language processing. However, most of the researches have focused on the technical aspect to improve the performance of chatbots, and it is necessary to study user experience on a chatbot interface. In this article, we investigated how 'interactivity' of an interface and the 'usage mode' referring to situations of a user affect the satisfaction, flow, and perceived usefulness of a chatbot for exploring user experience. As the result, first, the higher level of interactivity, the higher user experience. Second, usage mode showed interaction effect with interactivity on flow, although it didn't show the main effect. In specific, when interactivity is high in usage mode, flow was the highest rather than other conditions. Thus, for designing better chatbot interfaces, it should be considered to increase the degree of interactivity, and for users to achieve a goal easily through various functions with high interactivity.

• The Journal of Information Systems
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• v.28 no.3
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• pp.1-23
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• 2019

Purpose This study examines the role of corporate image and privacy concerns in intention to use of online travel services using data from Vietnam. Design/methodology/approach The data collection was implemented to a student sample at the Foreign Trade University in Hanoi, which has a high concentration of young people who are interested in online travel in Vietnam. The paper based questionnaire was directly delivered to the respondents. After sorting to eliminate unfit samples, the number of responses was 541, which exceeds 500, the minimum number typically required. To test the hypotheses, we applied structural equation modeling (SEM) and Confirmatory Factor Analysis (CFA) was used to evaluate the reliability and validity of constructs in the model. We also used direct, indirect and total effect coefficient to evaluate the total impact of factors on the intention to use online services. Findings This study found that corporate image is positively associated to intention to use online services. It found a link between corporate image and privacy concerns, which suggests another way for firms to address their customers' privacy concerns; corporate image, which has received great attention in traditional offline sales channels, but not in online services, should receive higher attention in IS research. Online travel businesses, besides increasing ease of use, perceived usefulness and trust in their services, should focus on build a reliable corporate image, which can not only promote the service use but also help to eliminate users' the privacy concerns.

• Journal of the Korea Convergence Society
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• v.10 no.5
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• pp.125-131
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• 2019

This study tries to grasp the factor that affects the acceptance of beacon as an O2O marketing tool. This study examined whether there is a difference between beacon accepter as a means of marketing communication and non-accepter in terms of related variables. As a result, there were significant differences between beacon perceiver and non-perceiver in 'smartphone usage' and 'brand consciousness'. In order to understand the predictive variables influencing beacon acceptance as a means of marketing communication, this study used 'perceiving beacon as a marketing communication media' as a dependent variable to perform logistic regression analysis. As a result of the analysis, it was found that 'smartphone usage' and 'brand consciousness' were the predictive variables affecting beacon perceiving. This study tried to analysis the results in the viewpoint of perceived usefulness and ease-of-use which were insisted by TAM.

• Journal of Industrial Convergence
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• v.16 no.2
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• pp.1-14
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• 2018

The interconnectedness of all things is continuously expanding. For example, bluetooth low energy (BLE) beacons are wireless radio transmitters that can send an identifier to nearby receivers and trigger a number of applications, from proximity marketing to indoor location-based service. iBeacon technology which is one of the newest technologies in the smart tourism field, is reckoned as being very useful for travelers in enhancing the experience with visiting places. However, there is consequently not much existing research yet about the connection between iBeacon technology and tourism destination. Considering that, this study analyzes the adoption of iBeacon in tourism destination, this study examine the interrelationships and feedback structures of key factors in iBeacon adoption. To serve the purpose, this study used system dynamics approach to develop a model of iBeacon adoption in tourism destination. The analysis results showed that the concept of 'Social Influences' is one of the significant predictors for individual's intention behavior to accept iBeacon, and word of mouth (WOM), subjective norm, privacy concern, and perceived usefulness are key factors influencing the iBeacon adoption.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.357-367
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• 2019

This study was to investigate the effects of workers' attitudes to internet health information(AIHI), e-health literacy(eHL) on internet health information seeking behavior(IHISB) and health-related behavioral intention(HBI). 152 workers conducted the structured questionnaires from May to July 2017. Data analyzed by t-test, ANOVA, and multiple regression analysis. Factors affecting IHISB were identified to be eHL (${\beta}=.33$, p<.011), and perceived usefulness for internet health information(PU)(${\beta}=.28$, p=.002), and factors affecting HBI were identified to be PU(${\beta}=.33$, p=.001), information utilization(IU)(${\beta}=.24$, p=.003), and eHL(${\beta}=.18$, p=.002). As above results, considering the eHL of workers, it is necessary to build an internet health information system and develop education program that increase IU.

• Journal of Information Technology Services
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• v.20 no.3
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• pp.41-56
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• 2021

New drug discovery and development research enable clinical treatment that saves human life and improves the quality of life, but the possibility of success with new drugs is significantly low despite a long time of 14 to 16 years and a large investment of 2 to 3 trillion won in traditional methods. As artificial intelligence is expected to radically change the new drug development paradigm, artificial intelligence new drug discovery and development projects are underway in various forms of collaboration, such as joint research between global pharmaceutical companies and IT companies, and government-private consortiums. This study uses the TOE framework and the Value-based Adoption Model, and the technical, organizational, and environmental factors that should be considered for the acceptance of AI technology at the level of the new drug research organization are the value of artificial intelligence technology. By analyzing the explanatory power of the relationship between perception and intention to use, it is intended to derive practical implications. Therefore, in this work, we present a research model in which technical, organizational, and environmental factors affecting the introduction of artificial intelligence technologies are mediated by strategic value recognition that takes into account all factors of benefit and sacrifice. Empirical analysis shows that usefulness, technicality, and innovativeness have significantly affected the perceived value of AI drug development systems, and that social influence and technology support infrastructure have significant impact on AI Drug Discovery and Development systems.

• Journal of Korea Game Society
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• v.21 no.4
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• pp.25-42
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• 2021

This study investigated motivation factors of mods and their influence on user response to analyze IS Continuance. The data of 610 players of who used mods was analyzed by a Post Acceptance Model of IS Continuance, followed by empirical results. As a result of SEM, the motive factor was divided into the 'Media characteristic', 'Content characteristic', and 'Situational characteristic'. The motive factors significantly affected user response of 'Perceived Usefulness', 'Satisfaction', and 'IS Continuance'; each motivation factors have different influence and 'Content characteristic' significantly affected the IS Continuance.